{"type": "FeatureCollection", "features": [{"id": "10.1007/s10661-018-6700-9", "type": "Feature", "geometry": null, "properties": {"license": "Closed Access", "updated": "2026-06-23T16:15:22Z", "type": "Journal Article", "created": "2018-05-06", "title": "Improving nitrate load estimates in an agricultural catchment using Event Response Reconstruction", "description": "Low-frequency grab sampling cannot capture fine dynamics of stream solute concentrations, which results in large uncertainties in load estimates. The recent development of high-frequency sensors has enabled monitoring solute concentrations at sub-hourly time scales. This study aimed to improve nitrate (NO3) load estimates using high-resolution records (15-min time interval) from optical sensors to capture the typical concentration response to storm events. An empirical model was developed to reconstruct NO3 concentrations during storm events in a 100-km2 agricultural catchment in Germany. Two years (Jan 2002 to Dec 2002 and Oct 2005 to Sep 2006) of high-frequency measurements of NO3 concentrations, discharge and precipitation were used. An Event Response Reconstruction (ERR) model was developed using NO3 concentration descriptor variables and predictor variables calculated from discharge and precipitation records. Fourteen events were used for calibration, and 27 events from four periods of continuous records of high-frequency measurement were used for validation. During all selected storm events, NO3 concentration decreased during flow rise and increased during the recession phase of the hydrograph. Three storm descriptor variables were used to describe these dynamics: relative change in concentration between initial and minimum NO3 concentrations (rdN), time to maximum change in NO3 concentration (TdN) and time to 50% recovery of NO3 concentration (TN rec ). The ERR consisted of building linear models of discharge and precipitation to predict these three descriptors. The ERR approach greatly improved NO3 load estimates compared to linear interpolation of grab sampling data (error decreased from 10 to 1%) or flow-weighted estimation of load (error is 7%). This study demonstrated that ERR based on a few months of high-resolution data enables accurate load estimates from low-frequency NO3 data.", "keywords": ["Nitrates", "Rivers", "13. Climate action", "Germany", "0208 environmental biotechnology", "Water Pollution", " Chemical", "0207 environmental engineering", "Agriculture", "Nitrogen Oxides", "02 engineering and technology", "Water Pollutants", " Chemical", "6. Clean water", "Environmental Monitoring"]}, "links": [{"href": "https://doi.org/10.1007/s10661-018-6700-9"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Monitoring%20and%20Assessment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s10661-018-6700-9", "name": "item", "description": "10.1007/s10661-018-6700-9", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s10661-018-6700-9"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-05-07T00:00:00Z"}}, {"id": "10.1016/j.agrformet.2009.04.003", "type": "Feature", "geometry": null, "properties": {"license": "Restricted", "updated": "2026-06-23T16:16:03Z", "type": "Journal Article", "created": "2009-05-20", "title": "Seasonal And Interannual Patterns Of Carbon And Water Fluxes Of A Poplar Plantation Under Peculiar Eco-Climatic Conditions", "description": "This paper reports 3 years of eddy covariance measurements (2002-2004) on a poplar plantation (Populus; x cancidensis Moench, Clone I-214) in Northern Italy. We analyzed seasonal and interannual variability of the net ecosystem exchange (NEE), gross primary production (GPP), ecosystem respiration (R(ECO)) and evapotranspiration (ET) in relation to different meteorological and environmental conditions experienced by the plantation and to natural disturbances. In particular, during 2003 climatic conditions were exceptionally severe, with the highest mean air temperatures and the lowest precipitations observed in the study area in the last 50 years. In addition, during the late summer of 2004, the plantation was attacked by fall webworm larvae (Hyphantria cunea). The cumulated NEE during the three growing season (April-September) was -752.8, -626.7 and -702.7 g C m(-2) for 2002, 2003 and 2004, respectively. In the period June-August 2003, NEE was 35% and 29% higher than the NEE measured in the same period in 2002 and 2004, respectively, resulting in a lower net carbon uptake. As R(ECO) did not show large differences over the three growing seasons, the reduction in net carbon sequestration of June-August 2003 is mainly explained by a reduction of GPP (-18% and -17% in 2002 and 2004, respectively). The cumulated ET over the three growing seasons was 388, 471, 484 kg H(2)O m(-2) for 2002, 2003 and 2004, respectively. This behaviour was due to the fact that the position of the water table remained close to the roots, therefore supplying enough water to the plantation, even during the driest period. The analysis of light curve parameters, their residuals and canopy conductance suggests that the reduction Of CO(2) uptake during summer 2003 was mainly controlled by stomatal and non-stomatal limitations due to high temperatures, directly and in particular indirectly (i.e. through D) rather than by soil water stress. In conclusion, our study shows that in the presence of a heat-wave, a significant reduction of net productivity during summer may occur even in the absence of marked soil water stress. In addition to this sensitivity to high temperatures, which will likely increase in the future, the effects of natural disturbances may add further uncertainties, thus suggesting caution in the evaluation of the potential carbon sequestration of these ecosystems. Crown Copyright (C) 2009 Published by Elsevier B.V. All rights reserved.", "keywords": ["Poplar plantations; 2003 Heat-wave; Eddy covariance; Net ecosystem exchange", "13. Climate action", "0207 environmental engineering", "02 engineering and technology", "15. Life on land", "01 natural sciences", "6. Clean water", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.agrformet.2009.04.003"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agricultural%20and%20Forest%20Meteorology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.agrformet.2009.04.003", "name": "item", "description": "10.1016/j.agrformet.2009.04.003", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agrformet.2009.04.003"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2009-09-01T00:00:00Z"}}, {"id": "10.1016/j.agrformet.2018.02.033", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:16:04Z", "type": "Journal Article", "created": "2018-03-20", "title": "Calibrating an evapotranspiration model using radiometric surface temperature, vegetation cover fraction and near-surface soil moisture data", "description": "An accurate representation of the partitioning between soil evaporation and plant transpiration is an asset for modeling crop evapotranspiration (ET) along the agricultural season. The Two-Surface energy Balance (TSEB) model operates the ET partitioning by using the land surface temperature (LST), vegetation cover fraction (fc), and the Priestley Taylor (PT) assumption that relates transpiration to net radiation via a fixed PT coefficient (\u03b1PT). To help constrain the evaporation/transpiration partition of TSEB, a new model (named TSEB-SM) is developed by using, in addition to LST and fc data, the near-surface soil moisture (SM) as an extra constraint on soil evaporation. An innovative calibration procedure is proposed to retrieve three key parameters: \u03b1PT and the parameters (arss and brss) of a soil resistance formulation. Specifically, arss and brss are retrieved at the seasonal time scale from SM and LST data with fc\u202f \u202f0.5. The new ET model named TSEB-SM is tested over 1 flood- and 2 drip-irrigated wheat fields using in situ data collected during two field experiments in 2002\u20132003 and 2016\u20132017. The calibration algorithm is found to be remarkably stable as \u03b1PT, arss and brss parameters converge rapidly in few (2\u20133) iterations. Retrieved values of \u03b1PT, arss and brss are in the range 0.0\u20131.4, 5.7\u20139.5, and 1.4\u20136.9, respectively. Calibrated daily \u03b1PT mainly follows the phenology of winter wheat crop with a maximum value coincident with the full development of green biomass and a minimum value reached at harvest. The temporal variations of \u03b1PT before senescence are attributed to the dynamics of both root-zone soil moisture. Moreover, the overall (for the three sites) root mean square difference between the ET simulated by TSEB-SM and eddy-covariance measurements is 67\u202fW\u202fm\u22122 (24% relative error), compared to 108\u202fW\u202fm\u22122 (38% relative error) for the original version of TSEB using default parameterization (\u03b1PT\u202f=\u202f1.26). Such a calibration strategy has great potential for applications at multiple scales using remote sensing data including thermal-derived LST, solar reflectance-derived fc and microwave-derived SM.", "keywords": ["Priestley-taylor coefficient", "2. Zero hunger", "550", "TSEB modifid", "[SDE.IE]Environmental Sciences/Environmental Engineering", "0207 environmental engineering", "02 engineering and technology", "Vegetation cover fraction", "15. Life on land", "01 natural sciences", "630", "[SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology", "Turbulent heat fluxes", "Soil moisture", "[SDE.IE] Environmental Sciences/Environmental Engineering", "[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology", "Land surface temperature", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.agrformet.2018.02.033"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agricultural%20and%20Forest%20Meteorology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.agrformet.2018.02.033", "name": "item", "description": "10.1016/j.agrformet.2018.02.033", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agrformet.2018.02.033"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-06-01T00:00:00Z"}}, {"id": "10.1007/s11027-019-09899-w", "type": "Feature", "geometry": null, "properties": {"license": "Closed Access", "updated": "2026-06-23T16:15:26Z", "type": "Journal Article", "created": "2019-12-10", "title": "Climate change risks and adaptation: new indicators for Mediterranean viticulture", "description": "The Mediterranean region, expanding across Southern Europe and North Africa, has developed agricultural systems over thousands of years and today is a major agricultural trade actor in the global market. At the same time, environmental and social equity differences in the region are pronounced, and this inequality is reflected in the production of traditional Mediterranean crops, such as grapevine (Vitis vinifera L.), a permanent wood crop, well adapted to the lack of water and recurrent drought in the region, and that has a role in the mitigation role of agriculture in arid environments. Increasing the ability to adapt to adverse impacts of climate change is an important task for Mediterranean agriculture. The indicators selected are widely used by practitioners in this grapevine production sector, linking science to the tools used by stakeholders and therefore encouraging action and innovation among all stakeholders. The novelty of the study is: the definition of adaptation needs based on a combination of indicators of production quantity and quality with a consistent set of climate scenarios; the evaluation of probabilistic changes with special emphasis on drought in a region that has very large climate variability; the definition of adaptation needs based on a consistent set of scenarios in an over 2 million km2; and the evaluation of potential adaptation choices that may contribute to real-time policy analysis and development as national and international policies and agreements in the grapevine production sector. The climate changes scenarios are derived from global datasets. Adaptation efforts are estimated proportionally to the change of the climatic indices and are categorized into low, medium, or high, as a function of the excepted changes in climatic indices. The study emphasizes that non-informed adaptation limits future choices in areas severely impacted.", "keywords": ["2. Zero hunger", "13. Climate action", "11. Sustainability", "0207 environmental engineering", "02 engineering and technology", "15. Life on land", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://link.springer.com/content/pdf/10.1007/s11027-019-09899-w.pdf"}, {"href": "https://doi.org/10.1007/s11027-019-09899-w"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Mitigation%20and%20Adaptation%20Strategies%20for%20Global%20Change", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s11027-019-09899-w", "name": "item", "description": "10.1007/s11027-019-09899-w", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s11027-019-09899-w"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-12-10T00:00:00Z"}}, {"id": "10.1007/s11242-015-0572-z", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-23T16:15:38Z", "type": "Journal Article", "created": "2015-09-14", "title": "Visualization and Characterization of Heterogeneous Water Flow in Double-Porosity Media by Means of X-ray Computed Tomography", "description": "Three-dimensional visualization of dynamic water transport process in soil by 1 computed tomography (CT) technique is still limited by its low temporal resolution. In order 2 to monitor dynamically water transport in soil, a compromise has to be found between water 3 flow velocity and CT acquisition time. Furthermore, an efficient image analysis method is 1 4 necessary. In this work, we followed the water transport in three dimensions by CT imaging 5 across a double-porosity media constituted of two distinct materials, i.e. sand and porous 6 clay spheres. The CT acquisition parameters were adjusted to the water pore velocity so that 7 we succeeded to register the water front displacement per time range of 25 min. We also used 8 the image subtraction method to extract water distribution evolution with time with a space 9 resolution of 6 \u00d7 10 \u22123 cm. Both time and space resolution are relatively high compared with 10 other dynamic studies. The water content profiles showed that the clay spheres remained 11 in their dry state during water infiltration, while the water transport only occurred in the 12 sand matrix. These results are consistent with macroscopic experiments. The water front 13 visualized by CT showed a non-symmetrical shape which was related to water transfer in 14 non-equilibrium as shown by column displacement experiments.", "keywords": ["2. Zero hunger", "550", "[SDE.IE]Environmental Sciences/Environmental Engineering", "0208 environmental biotechnology", "Porous media", "0207 environmental engineering", "02 engineering and technology", "[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study", "6. Clean water", "620", "Image analysis", "3D visualization", "[SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology", "[SDE.IE] Environmental Sciences/Environmental Engineering", "[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology", "[SDV.SA.SDS] Life Sciences [q-bio]/Agricultural sciences/Soil study", "Computed tomography", "Water transport"]}, "links": [{"href": "http://link.springer.com/content/pdf/10.1007/s11242-015-0572-z"}, {"href": "https://doi.org/10.1007/s11242-015-0572-z"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Transport%20in%20Porous%20Media", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s11242-015-0572-z", "name": "item", "description": "10.1007/s11242-015-0572-z", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s11242-015-0572-z"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-09-14T00:00:00Z"}}, {"id": "10.1016/j.still.2004.07.016", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:17:43Z", "type": "Journal Article", "created": "2004-10-26", "title": "Vegetation Barrier And Tillage Effects On Runoff And Sediment In An Alley Crop System On A Luvisol In Burkina Faso", "description": "Abstract   The effects of vegetation barriers and tillage on runoff and soil loss were evaluated in an alley crop system at a research station in central Burkina Faso. On a 2% slope of a sandy loam various local species (grasses, woody species and a succulent) were planted as conservation barriers in order to examine their influence on sediment transport. After each erosive storm, runoff and sediment yield was determined. The dense effective barriers (Andropogon gayanus and dense natural vegetation) slow down flow velocity, build up backwater and promote sedimentation uphill. The through flow in the less effective barriers with woody species and succulents (Ziziphus mauritania and Agave sisalana) was slightly hampered and flow velocity was not reduced enough, resulting in a higher soil transport. Under degraded conditions soil loss diminished 50% with less effective and 70\u201390% with effective barriers. During the initial cropping phase (light tillage; sowing) erosion was reduced 40\u201360% with effective barriers and showed an increase of 45% with less effective barriers. In the full tillage (weeding) period erosion decreased by 80\u201390% for effective and 70% for less effective barriers, aided by the development of the barrier and the crop on the alley. Barriers of natural vegetation and A. gayanus are preferred for diminishing soil loss.  Sediment yield could best be predicted by the erosivity index (AIm), second best by runoff amount (mm), closely followed by maximum peak intensity. All these parameters are related to the volume of overland flow needed to transport soil particles. Correlation of soil loss with small rain showers was poor and correlation with big showers was good. Sediment transport with no barrier had the highest correlation, closely followed by less effective barriers. Due to the heterogeneity in development of the effective barrier, correlations were much lower. The bulk of soil loss was only dependent on a few extreme events during the observation period.", "keywords": ["2. Zero hunger", "13. Climate action", "detachment", "rainfall", "0207 environmental engineering", "strips", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "02 engineering and technology", "15. Life on land", "soils"], "contacts": [{"organization": "Spaan, W.P., Sikking, A.F.S., Hoogmoed, W.B.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1016/j.still.2004.07.016"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20and%20Tillage%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.still.2004.07.016", "name": "item", "description": "10.1016/j.still.2004.07.016", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.still.2004.07.016"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2005-09-01T00:00:00Z"}}, {"id": "10.1007/s11356-017-9798-3", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:15:41Z", "type": "Journal Article", "created": "2017-08-12", "title": "Nitrate pollution in the Warta River (Poland) between 1958 and 2016: trends and causes", "description": "The article presents analyses of long-term water quality data from the Warta River between 1958 and 2016. A clear increasing trend in nitrate concentrations was observed from 1958 to the early 1990s. This trend was mainly related to the increasing use of fertilizers in Poland in this period. Then, after the early 1990s, a slow decreasing trend related to improvements in water and sewage management and more rational fertilizer use was observed after political and economic changes in Poland. The influence of long-term hydrological droughts on nitrate concentrations was also investigated. Sharp increases in the nitrate concentration in surface water were related to the accumulation of contaminants in the soil and aeration zone during drought periods and the subsequent transport of these contaminants to groundwater and surface water via recharge infiltration after each drought period. The presented results highlight the importance of surface water-groundwater interactions and suggest that groundwater protection in an entire catchment area is essential for surface water quality protection.", "keywords": ["Nitrates", "0207 environmental engineering", "Agriculture", "02 engineering and technology", "15. Life on land", "01 natural sciences", "6. Clean water", "Soil", "Rivers", "Water Supply", "13. Climate action", "Water Quality", "Humans", "Poland", "Fertilizers", "Groundwater under Threat from Diffuse Contaminants: Improving on-Site Sanitation", " Agriculture and Water Supply Practices", "Groundwater", "Water Pollutants", " Chemical", "Environmental Monitoring", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://link.springer.com/content/pdf/10.1007/s11356-017-9798-3.pdf"}, {"href": "https://doi.org/10.1007/s11356-017-9798-3"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Science%20and%20Pollution%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s11356-017-9798-3", "name": "item", "description": "10.1007/s11356-017-9798-3", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s11356-017-9798-3"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-08-12T00:00:00Z"}}, {"id": "10.1007/s11442-006-0107-1", "type": "Feature", "geometry": null, "properties": {"license": "Closed Access", "updated": "2026-06-23T16:15:45Z", "type": "Journal Article", "created": "2006-02-20", "title": "The Impact Of Land Use On Soil Properties In A Karst Agricultural Region Of Southwest China: A Case Study Of Xiaojiang Watershed, Yunnan", "description": "Supported by RS and GIS, the land use change from 1982 to 2003 were analyzed and the impacts of land use changes on pH value, organic matter, total N, total P, total K, available N, available P, and available K in soil of Xiaojiang watershed, a typical karst agricultural region of Yunnan Province, Southwest China were assessed. The following aspects are concluded. (1) The total land use converted during the past 20 years in Xiaojiang watershed covers an area of 610.12 km2, of which 134.29 km2 of forestland was converted into cultivated land, and 210 km2 of unused land was converted into cultivated land. (2) The rapid growth of population and the economic development were the main driving forces of land use change. (3) With the change in land use, the soil properties have been changed significantly. The pH, organic matter, total N, total P, total K, available N, available P and available K in soil in 1982 were 6.3, 38.02 g kg\u22121, 1.86 g kg\u22121, 1.63 g kg\u22121, 10.94 g kg\u22121, 114.42 g kg\u22121, 11.65 mg kg\u22121 and 64.69 mg kg\u22121g, respectively; and those in 2003 were 6.73, 25.26 g kg\u22121, 1.41 g kg\u22121, 0.99 g kg\u22121, 12.6 g kg\u22121, 113.43 mg kg\u22121, 11.11 mg kg\u22121 and 151.59 mg kg\u22121, respectively. Pared samples t-test of the tested indices of soil properties indicate that those indices have changed significantly during the last 20 years. But the soil properties changed differently, due to the differences in land use change. (4) Also, with the change in land use and management measures of soil, the modifications in soil properties which developed from carbonate rocks were more sensitive than those in the soil developed from sandstone.", "keywords": ["13. Climate action", "0207 environmental engineering", "02 engineering and technology", "15. Life on land", "01 natural sciences", "6. Clean water", "0105 earth and related environmental sciences"], "contacts": [{"organization": "Jiang Yong-jun", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1007/s11442-006-0107-1"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Geographical%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s11442-006-0107-1", "name": "item", "description": "10.1007/s11442-006-0107-1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s11442-006-0107-1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2006-01-01T00:00:00Z"}}, {"id": "10.1016/j.rse.2019.111627", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:17:19Z", "type": "Journal Article", "created": "2020-01-10", "title": "Irrigation retrieval from Landsat optical/thermal data integrated into a crop water balance model: A case study over winter wheat fields in a semi-arid region", "description": "Abstract   Monitoring irrigation is essential for an efficient management of water resources in arid and semi-arid regions. We propose to estimate the timing and the amount of irrigation throughout the agricultural season using optical and thermal Landsat-7/8 data. The approach is implemented in four steps: i) partitioning the Landsat land surface temperature (LST) to derive the crop water stress coefficient (Ks), ii) estimating the daily root zone soil moisture (RZSM) from the integration of Landsat-derived Ks into a crop water balance model, iii) retrieving irrigation at the Landsat pixel scale and iv) aggregating pixel-scale irrigation estimates at the crop field scale. The new irrigation retrieval method is tested over three agricultural areas during four seasons and is evaluated over five winter wheat fields under different irrigation techniques (drip, flood and no-irrigation). The model is very accurate for the seasonal accumulated amounts (R ~ 0.95 and RMSE ~ 44\u00a0mm). However, lower agreements with observed irrigations are obtained at the daily scale. To assess the performance of the irrigation retrieval method over a range of time periods, the daily predicted and observed irrigations are cumulated from 1 to 90\u00a0days. Generally, acceptable errors (R\u00a0=\u00a00.52 and RMSE\u00a0=\u00a027\u00a0mm) are obtained for irrigations cumulated over 15\u00a0days and the performance gradually improves by increasing the accumulation period, depicting a strong link to the frequency of Landsat overpasses (16\u00a0days or 8\u00a0days by combining Landsat-7 and -8). Despite the uncertainties in retrieved irrigations at daily to weekly scales, the daily RZSM and evapotranspiration simulated from the retrieved daily irrigations are estimated accurately and are very close to those estimated from actual irrigations. This research demonstrates the utility of high spatial resolution optical and thermal data for estimating irrigation and consequently for better closing the water budget over agricultural areas. We also show that significant improvements can be expected at daily to weekly time scales by reducing the revisit time of high-spatial resolution thermal data, as included in the TRISHNA future mission requirements.", "keywords": ["[SDE] Environmental Sciences", "2. Zero hunger", "550", "Evapotranspiration", "0208 environmental biotechnology", "Root-zone soil moisture", "0207 environmental engineering", "FAO-56 model", "02 engineering and technology", "15. Life on land", "630", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "6. Clean water", "[SDE]Environmental Sciences", "[SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology", "[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "environment", "Irrigation", "Landsat", "Land surface temperature"], "contacts": [{"organization": "Olivera-Guerra, Luis Enrique, Merlin, Olivier, Er-Raki, Salah,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1016/j.rse.2019.111627"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing%20of%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.rse.2019.111627", "name": "item", "description": "10.1016/j.rse.2019.111627", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.rse.2019.111627"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-03-01T00:00:00Z"}}, {"id": "10.1016/J.JENVMAN.2019.04.120", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:15:51Z", "type": "Journal Article", "created": "2019-06-13", "title": "A spatial approach to identify priority areas for pesticide pollution mitigation", "description": "Identifying priority areas is an essential step in developing management strategies to reduce pesticide loads in surface water. A spatially explicit model-based approach was developed to detect priority areas for diffuse pesticide pollution at catchment scale. The method uses available datasets and considers different pesticide pathways in the environment post-application. The approach was applied in a catchment area in SE Flanders (Belgium) as a case study. Calculated risk areas were obtained using detailed landscape data and combining pesticide emissions and hydrological connectivity. The risk areas obtained were further compared with an alternative observation-based method, developed specifically for this study site that includes long-term field observations and local expert knowledge. Both methods equally classified 50% of the areas. The impact of crop rotation on the calculated risk was analysed. High-risk areas were identified and added to a cumulative map over all five years to evaluate temporal variations. The model-based approach was used for the initial identification of risk areas at the study site. The tool helps to prioritise zones and detect particular fields to target landscape mitigation measures to reduce diffuse pesticide pollution reaching surface water bodies.", "keywords": ["Technology and Engineering", "GIS modelling", "FATE", "0207 environmental engineering", "GLYPHOSATE", "02 engineering and technology", "Diffuse pesticide pollution", "01 natural sciences", "12. Responsible consumption", "CATCHMENT", "Belgium", "RUNOFF", "SURFACE WATERS", "Pesticides", "Biology", "0105 earth and related environmental sciences", "RISK", "Catchment scale", "Water Pollution", "Surface water", "Agriculture", "HERBICIDE LOSSES", "15. Life on land", "Field observations", "BUFFER ZONES", "TRANSPORT", "6. Clean water", "NO-TILL", "Chemistry", "13. Climate action", "Earth and Environmental Sciences", "Pesticide risk areas", "Water Pollutants", " Chemical"]}, "links": [{"href": "https://doi.org/10.1016/J.JENVMAN.2019.04.120"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Environmental%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/J.JENVMAN.2019.04.120", "name": "item", "description": "10.1016/J.JENVMAN.2019.04.120", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/J.JENVMAN.2019.04.120"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-09-01T00:00:00Z"}}, {"id": "10.1016/j.advwatres.2019.01.011", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-23T16:15:52Z", "type": "Journal Article", "created": "2019-01-30", "title": "Interaction between biofilm growth and NAPL remediation: A pore-scale study", "description": "Abstract   In this paper, we introduce a pore-scale model to study the interaction between biofilm growth and non-aqueous-phase-liquid (NAPL) dissolution. Liquid flow and dissolved NAPL transport are coupled with a biofilm growth model to correctly describe the complex dynamics of the processes including fluid flow, NAPL dissolution/biodegradation and biofilm growth. Fluid flow is simulated using an immersed boundary-lattice Boltzmann (IB-LB) model; while solute transport is solved by a cut-cell finite volume method (FVM). A uniform dissolution approach is also adopted to capture the temporal evolution of trapped blobs. Spatio-temporal distributions of the biomass are investigated using a cellular automaton algorithm combined with the immersed boundary method (IBM). Simulations focused on NAPL dissolution in both abiotic and biotic conditions are conducted to assess the capability of the model. In abiotic conditions, we analyze the effects of the hydrodynamic regimes and the spatial distribution of NAPL blobs on the dissolution rate under different assumptions (i.e., blob size and Peclet number). In biotic conditions, a series of impact factors are also investigated (i.e., spatial distribution, reaction kinetics and NAPL-induced toxicity). Finally, the current model is used to evaluate the pore scale relevance of a local equilibrium assumption between fluid phase and biofilm phase in the vicinity of the NAPL source.", "keywords": ["[SDE] Environmental Sciences", "570", "biofilm growth", "cellular automata", "0208 environmental biotechnology", "0207 environmental engineering", "[SPI.MECA.MEFL] Engineering Sciences [physics]/Mechanics [physics.med-ph]/Fluids mechanics [physics.class-ph]", "02 engineering and technology", "530", "[SPI.MECA.MEFL]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Fluids mechanics [physics.class-ph]", "porous media", "immersed boundary method", "[SDE]Environmental Sciences", "[SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology", "NAPL biodegradation", "[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology", "lattice Botzmann method"]}, "links": [{"href": "https://doi.org/10.1016/j.advwatres.2019.01.011"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Advances%20in%20Water%20Resources", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.advwatres.2019.01.011", "name": "item", "description": "10.1016/j.advwatres.2019.01.011", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.advwatres.2019.01.011"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-03-01T00:00:00Z"}}, {"id": "10.1016/j.agrformet.2006.01.007", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-23T16:16:03Z", "type": "Journal Article", "created": "2006-02-25", "title": "A Multi-Site Analysis Of Random Error In Tower-Based Measurements Of Carbon And Energy Fluxes", "description": "Measured surface-atmosphere fluxes of energy (sensible heat, H, and latent heat, LE) and CO2 (FCO2) represent the \u2018\u2018true\u2019\u2019 flux plus or minus potential random and systematic measurement errors. Here, we use data from seven sites in the AmeriFlux network, including five forested sites (two of which include \u2018\u2018tall tower\u2019\u2019 instrumentation), one grassland site, and one agricultural site, to conduct a cross-site analysis of random flux error. Quantification of this uncertainty is a prerequisite to model-data synthesis (data assimilation) and for defining confidence intervals on annual sums of net ecosystem exchange or making statistically valid comparisons between measurements and model predictions. We differenced paired observations (separated by exactly 24 h, under similar environmental conditions) to infer the characteristics of the random error in measured fluxes. Random flux error more closely follows a double-exponential (Laplace), rather than a normal (Gaussian), distribution, and increase as a linear function of the magnitude of the flux for all three scalar fluxes. Across sites, variation in the random error follows consistent and robust patterns in relation to environmental variables. For example, seasonal differences in the random error for H are small, in contrast to both LE and FCO2, for which the random errors are roughly three-fold larger at the peak of the growing season compared to the dormant season. Random errors also generally scale with Rn (H and LE) and PPFD (FCO2). For FCO2 (but not H or LE), the random error decreases with increasing wind speed. Data from two sites suggest that FCO2 random error may be slightly smaller when a closed-path, rather than open-path, gas analyzer is used.", "keywords": ["Random error", "Flux", "550", "carbon", "Uncertainty", "0207 environmental engineering", "AmeriFlux", "Eddy covariance", "02 engineering and technology", "15. Life on land", "01 natural sciences", "Carbon", "flux", "Measurement error", "13. Climate action", "Natural Resources and Conservation", "Data assimilation", "eddy covariance", "Ameriflux", "uncertainty", "random error", "data assimilation", "measurement error", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.agrformet.2006.01.007"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agricultural%20and%20Forest%20Meteorology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.agrformet.2006.01.007", "name": "item", "description": "10.1016/j.agrformet.2006.01.007", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agrformet.2006.01.007"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2006-01-01T00:00:00Z"}}, {"id": "10.1016/j.agrformet.2007.08.011", "type": "Feature", "geometry": null, "properties": {"license": "Closed Access", "updated": "2026-06-23T16:16:03Z", "type": "Journal Article", "created": "2007-09-26", "title": "Comprehensive Comparison Of Gap-Filling Techniques For Eddy Covariance Net Carbon Fluxes", "description": "Abstract   We review 15 techniques for estimating missing values of net ecosystem CO 2  exchange (NEE) in eddy covariance time series and evaluate their performance for different artificial gap scenarios based on a set of 10 benchmark datasets from six forested sites in Europe.  The goal of gap filling is the reproduction of the NEE time series and hence this present work focuses on estimating missing NEE values, not on editing or the removal of suspect values in these time series due to systematic errors in the measurements (e.g., nighttime flux, advection). The gap filling was examined by generating 50 secondary datasets with artificial gaps (ranging in length from single half-hours to 12 consecutive days) for each benchmark dataset and evaluating the performance with a variety of statistical metrics. The performance of the gap filling varied among sites and depended on the level of aggregation (native half-hourly time step versus daily), long gaps were more difficult to fill than short gaps, and differences among the techniques were more pronounced during the day than at night.  The non-linear regression techniques (NLRs), the look-up table (LUT), marginal distribution sampling (MDS), and the semi-parametric model (SPM) generally showed good overall performance. The artificial neural network based techniques (ANNs) were generally, if only slightly, superior to the other techniques. The simple interpolation technique of mean diurnal variation (MDV) showed a moderate but consistent performance. Several sophisticated techniques, the dual unscented Kalman filter (UKF), the multiple imputation method (MIM), the terrestrial biosphere model (BETHY), but also one of the ANNs and one of the NLRs showed high biases which resulted in a low reliability of the annual sums, indicating that additional development might be needed. An uncertainty analysis comparing the estimated random error in the 10 benchmark datasets with the artificial gap residuals suggested that the techniques are already at or very close to the noise limit of the measurements. Based on the techniques and site data examined here, the effect of gap filling on the annual sums of NEE is modest, with most techniques falling within a range of \u00b125\u00a0g\u00a0C\u00a0m \u22122 \u00a0year \u22121 .", "keywords": ["Net ecosystem exchange (NEE)", "Gap-filling comparison", "550", "FLUXNET", "0207 environmental engineering", "Eddy covariance", "02 engineering and technology", "01 natural sciences", "630", "Carbon flux", "Review of gap-filling techniques", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.agrformet.2007.08.011"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agricultural%20and%20Forest%20Meteorology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.agrformet.2007.08.011", "name": "item", "description": "10.1016/j.agrformet.2007.08.011", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agrformet.2007.08.011"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2007-12-01T00:00:00Z"}}, {"id": "10.1016/j.agrformet.2011.07.007", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-23T16:16:03Z", "type": "Journal Article", "created": "2011-10-25", "title": "Leaf And Ecosystem Response To Soil Water Availability In Mountain Grasslands", "description": "Climate change is expected to affect the Alps by increasing the frequency and intensity of summer drought events with negative impacts on ecosystem water resources. The response of CO2 and H2O exchange of a mountain grassland to natural fluctuations of soil water content was evaluated during 2001-2009. In addition, the physiological performance of individual mountain forb and graminoid plant species under progressive soil water shortage was explored in a laboratory drought experiment. During the 9-year study period the natural occurrence of moderately to extremely dry periods did not lead to substantial reductions in net ecosystem CO2 exchange and evapotranspiration. Laboratory drought experiments confirmed that all the surveyed grassland plant species were insensitive to progressive soil drying until very low soil water contents (<0.01 m3 m-3) were reached after several days of drought. In field conditions, such a low threshold was never reached. Re-watering after a short-term drought event (5\u00b11 days) resulted in a fast and complete recovery of the leaf CO2 and H2O gas exchange of the investigated plant species. We conclude that the present-day frequency and intensity of dry periods does not substantially affect the functioning of the investigated grassland ecosystem. During dry periods the observed 'water spending' strategy employed by the investigated mountain grassland species is expected to provide a cooling feedback on climate warming, but may have negative consequences for down-stream water users.", "keywords": ["Drought", "Evapotranspiration", "Montane ecosystem", "13. Climate action", "0207 environmental engineering", "Climate change", "02 engineering and technology", "Photosynthesis", "15. Life on land", "01 natural sciences", "6. Clean water", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.agrformet.2011.07.007"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agricultural%20and%20Forest%20Meteorology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.agrformet.2011.07.007", "name": "item", "description": "10.1016/j.agrformet.2011.07.007", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agrformet.2011.07.007"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2011-12-01T00:00:00Z"}}, {"id": "10.1016/j.agrformet.2013.07.008", "type": "Feature", "geometry": null, "properties": {"license": "Closed Access", "updated": "2026-06-23T16:16:04Z", "type": "Journal Article", "created": "2013-09-12", "title": "Net Co2 Exchange And Carbon Budgets Of A Three-Year Crop Rotation Following Conversion Of Perennial Lands To Annual Cropping In Manitoba, Canada", "description": "Abstract   Eddy covariance flux towers were used to measure net ecosystem production over three adjacent agricultural fields in Manitoba, Canada, from 2009 to 2011. Two fields were converted from long-term perennial hay/pasture to annual cropping, while the third field served as a control field that was maintained as hay/pasture. One converted field had a rotation of oat\u2013canola\u2013oat crops, while the second was hay\u2013oat\u2013fallow. Weather was an important driver of inter-annual variability, with poor yields on all fields in 2011 because of dry conditions in summer, with the summer-fallow condition on one field caused by excess spring moisture not allowing planting. The cumulative net ecosystem production of the oat\u2013canola\u2013oat field showed a net CO2 emission of 100\u00a0g\u00a0C\u00a0m\u22122, the hay\u2013oat\u2013fallow field emitted 500\u00a0g\u00a0C\u00a0m\u22122, and the hay field gained 550\u00a0g\u00a0C\u00a0m\u22122 by the end of the 30-month study period. The hay field had the highest cumulative gross primary production of 2500\u00a0g\u00a0C\u00a0m\u22122, whereas the oat\u2013canola\u2013oat and hay\u2013oat\u2013fallow fields had only about 1400\u00a0g\u00a0C\u00a0m\u22122. The perennial field had the advantage of both early- and late-season growth when crops were absent on the other fields. The hay and hay\u2013oat\u2013fallow fields had comparable cumulative ecosystem respiration (1400\u00a0g\u00a0C\u00a0m\u22122). Manure additions contributed 300\u00a0g\u00a0C\u00a0m\u22122 on the two converted fields. With harvest exports and manure additions included, the oat\u2013canola\u2013oat field was a carbon source of 240\u00a0g\u00a0C\u00a0m\u22122, the hay\u2013oat\u2013fallow field was a source of 415\u00a0g\u00a0C\u00a0m\u22122, and the hay/pasture field was a sink of 120\u00a0g\u00a0C\u00a0m\u22122 over the 30-month period.", "keywords": ["2. Zero hunger", "13. Climate action", "0207 environmental engineering", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "02 engineering and technology", "15. Life on land"]}, "links": [{"href": "https://doi.org/10.1016/j.agrformet.2013.07.008"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agricultural%20and%20Forest%20Meteorology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.agrformet.2013.07.008", "name": "item", "description": "10.1016/j.agrformet.2013.07.008", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agrformet.2013.07.008"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-12-01T00:00:00Z"}}, {"id": "10.1016/j.agrformet.2018.05.010", "type": "Feature", "geometry": null, "properties": {"license": "Closed Access", "updated": "2026-06-23T16:16:04Z", "type": "Journal Article", "created": "2018-06-14", "title": "Partitioning of evapotranspiration in remote sensing-based models", "description": "Abstract   Satellite based retrievals of evapotranspiration (ET) are widely used for assessments of global and regional scale surface fluxes. However, the partitioning of the estimated ET between soil evaporation, transpiration, and canopy interception regularly shows strong divergence between models, and to date, remains largely unvalidated. To examine this problem, this paper considers three algorithms: the Penman-Monteith model from the Moderate Resolution Imaging Spectroradiometer (PM-MODIS), the Priestley-Taylor Jet Propulsion Laboratory model (PT-JPL), and the Global Land Evaporation Amsterdam Model (GLEAM). Surface flux estimates from these three models, obtained via the WACMOS-ET initiative, are compared against a comprehensive collection of field studies, spanning a wide range of climates and land cover types. Overall, we find errors between estimates of field and remote sensing-based soil evaporation (RMSD\u202f=\u202f90\u2013114%, r2\u202f=\u202f0.14\u20130.25, N\u202f=\u202f35), interception (RMSD\u202f=\u202f62\u2013181%, r2\u202f=\u202f0.39\u20130.85, N\u202f=\u202f13), and transpiration (RMSD\u202f=\u202f54\u2013114%, r2 \u202f=\u202f0.33\u20130.55, N\u202f=\u202f35) are relatively large compared to the combined estimates of total ET (RMSD\u202f=\u202f35\u201349%, r2 \u202f=\u202f0.61\u20130.75, N\u202f=\u202f35). Errors in modeled ET components are compared between land cover types, field methods, and precipitation regimes. Modeled estimates of soil evaporation were found to have significant deviations from observed values across all three models, while the characterization of vegetation effects also influences errors in all three components. Improvements in these estimates, and other satellite based partitioning estimates are likely to lead to better understanding of the movement of water through the soil-plant-water continuum.", "keywords": ["Evapotranspiration", "0208 environmental biotechnology", "Modeling", "0207 environmental engineering", "02 engineering and technology", "Remote sensing", "15. Life on land", "6. Clean water", "Transpiration", "13. Climate action", "[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]", "[PHYS.ASTR] Physics [physics]/Astrophysics [astro-ph]", "Soil evaporation", "Partitioning"]}, "links": [{"href": "https://doi.org/10.1016/j.agrformet.2018.05.010"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agricultural%20and%20Forest%20Meteorology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.agrformet.2018.05.010", "name": "item", "description": "10.1016/j.agrformet.2018.05.010", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agrformet.2018.05.010"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-10-01T00:00:00Z"}}, {"id": "10.1016/j.agrformet.2018.11.031", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-23T16:16:04Z", "type": "Journal Article", "created": "2018-11-29", "title": "Partitioning evapotranspiration of a drip-irrigated wheat crop: Inter-comparing eddy covariance-, sap flow-, lysimeter- and FAO-based methods", "description": "Abstract   A precise estimate of the evapotranspiration (ET) partitioning is fundamental for determining the crop water needs and optimizing irrigation management. The plant transpiration (T) is generally considered to be the most desirable component, while reducing the soil evaporation (E) could be one of the most important water-saving actions in semi-arid agricultural regions. Given the lack of reference method to estimate the E/T partitioning of wheat crop, this study inter-compares four different methods based on eddy covariance, sap flow and lysimetry measurements and FAO modeling. The objectives are: i) to quantify the systematic and random uncertainty in E and T observations, ii) to evaluate the partitioning ratio (T/ET) at the daily/field scale and iii) to assess the performance of the FAO model over two drip irrigated wheat fields. Results indicate that despite the small surface sensed by mini-lysimeters, the partitioning ratio is evaluated more precisely (19% relative error) with lysimetry than with the other systems (any combination of eddy covariance, lysimetry and sap flow measurements). Moreover, stem-scale T measurements from sap flow sensors are subject to representativeness issues at the field scale, and to systematic errors during water-stress and senescence periods. The lysimeter-derived partitioning ratio increases from about 0.50 to 0.85 during the growth stage and rapidly drops towards 0 during senescence. Its dynamics is found to be significantly correlated (R>0.7) with the 5-cm soil moisture. By comparing FAO simulations with observations, it is found that the FAO method overestimates T and underestimates E, while keeping satisfying ET estimates for drip irrigated wheat. This study suggests that different independent measurement techniques should be implemented to both quantify and reduce uncertainties in the T/ET ratio, and that accurate observations are still needed to improve the modeling of E/T components.", "keywords": ["FAO-56", "0106 biological sciences", "2. Zero hunger", "550", "Lysimeter", "Eddy correlation", "0207 environmental engineering", "02 engineering and technology", "15. Life on land", "01 natural sciences", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "6. Clean water", "Sap flow", "Wheat", "[SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology", "[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "environment", "Evaporation-transpiration"]}, "links": [{"href": "https://doi.org/10.1016/j.agrformet.2018.11.031"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agricultural%20and%20Forest%20Meteorology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.agrformet.2018.11.031", "name": "item", "description": "10.1016/j.agrformet.2018.11.031", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agrformet.2018.11.031"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-02-01T00:00:00Z"}}, {"id": "10.1016/j.agsy.2022.103477", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-23T16:16:05Z", "type": "Journal Article", "created": "2022-08-24", "title": "Improved descriptions of soil hydrology in crop models: The elephant in the room?", "description": "Soil-crop simulation models are widely used to assess the impacts of soil management and climate change on soil water balance, solute transport and crop production. In this context, it is important that hydrological processes in the soil-crop system are accurately modelled. We suggest here that empirical treatments of soil water flow, water uptake by plant mots and transpiration limit the applicability of crop models and increase prediction errors. We further argue that this empiricism is to a large extent unnecessary, as parsimonious physics-based descriptions of these water flow processes in the soil-crop system are now available. Recent reviews and opinion articles, whilst strongly advocating the need for improvements to crop models, fail to mention the significant role played by accurate treatments of soil hydrology. It seems to us that empirical models of soil water flow have become the elephant in the room.", "keywords": ["2. Zero hunger", "0207 environmental engineering", "Soil Science", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "02 engineering and technology", "15. Life on land", "Agricultural Science"], "contacts": [{"organization": "Jarvis, Nicholas, Larsbo, Mats, Lewan, Elisabet, Garre, Sarah,", "roles": ["creator"]}]}, "links": [{"href": "https://pub.epsilon.slu.se/29884/1/jarvis-n-et-al-20221209.pdf"}, {"href": "https://doi.org/10.1016/j.agsy.2022.103477"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agricultural%20Systems", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.agsy.2022.103477", "name": "item", "description": "10.1016/j.agsy.2022.103477", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agsy.2022.103477"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-10-01T00:00:00Z"}}, {"id": "10.1016/j.agwat.2007.08.007", "type": "Feature", "geometry": null, "properties": {"license": "Closed Access", "updated": "2026-06-23T16:16:05Z", "type": "Journal Article", "created": "2007-11-17", "title": "Effects Of Antecedent Soil Moisture On Runoff And Soil Erosion In Alley Cropping Systems", "description": "Alley cropping systems may prevent soil and water erosion. The objective of this paper was to assess the effects of antecedent soil moisture on runoff and soil loss in alley cropping systems. Five land use treatments with three replications were included in this study. The treatments were mono peanut cropping (P), younger trees (T1), older trees (T2), peanut (Arachis hypogaea) intercropped with younger trees (T1P), and peanut intercropped with older trees (T2P). The trees used were deciduous Choerospondias axillaris. Runoff and soil loss from the experimental plots were monitored and related to rainfall and antecedent soil water potential. Results showed that T1 and T2 produced the highest runoff and lowest soil loss while P produced the greatest soil loss. Soil loss was 25.3% less in T1P and 32.0% in T2P than in P. Runoff was 62.6% less in T1P than in T1 and 56.1% less in T2P than in T2. Regardless of land use, soil loss was more closely correlated to runoff than to rainfall (R\u00a0>\u00a00.95 versus R\u00a0<\u00a00.40). Runoff and soil loss varied with season and antecedent soil moisture. The largest amounts of runoff and soil loss were recorded in the soil water surplus phase (rainy season). In spite of less rainfall in the soil water deficit phase, soil loss was greater than that in the soil water recovery phase. The runoff coefficient was exponentially correlated to the inverse of antecedent soil water potential in the rainy season, while the runoff coefficient was negatively and linearly correlated to antecedent soil water potential in the dry season. These results suggest that saturation excess runoff may be dominant in the rainy season and infiltration excess runoff may become dominant in the dry season.", "keywords": ["2. Zero hunger", "0208 environmental biotechnology", "0207 environmental engineering", "02 engineering and technology", "15. Life on land", "6. Clean water"], "contacts": [{"organization": "Mingzhu Wang, Bin Zhang, Linhong Wei,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1016/j.agwat.2007.08.007"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agricultural%20Water%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.agwat.2007.08.007", "name": "item", "description": "10.1016/j.agwat.2007.08.007", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agwat.2007.08.007"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2007-12-01T00:00:00Z"}}, {"id": "10.1016/j.agwat.2017.08.007", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:16:06Z", "type": "Journal Article", "created": "2017-08-10", "title": "Performance of the two-source energy budget (TSEB) model for the monitoring of evapotranspiration over irrigated annual crops in North Africa", "description": "Abstract   The main objective of this study was to evaluate the performance and the domain of validity of the two-source energy balance model (TSEB) for the monitoring of actual evapotranspiration ( ET a  ) as a first step towards its use for irrigation planning. Secondary objectives were to analyze the ability of TSEB model to detect water stress and to evaluate evapotranspiration partition between evaporation (E) and transpiration (T) over irrigated annual crops. Within this context, TSEB was compared to the calibrated FAO-56 dual approach, taken as a reference tool for the monitoring of crop water consumption. TSEB computes  ET a   as the residual of a double component energy balance driven by the radiative surface temperature ( T s  ) used as a proxy of crop hydric conditions; the FAO-56 dual crop coefficient approach uses the Normalized Difference Vegetation Index (NDVI) as a proxy of Basal Crop Coefficient ( K cb  ) and assesses the hydric status directly by solving a two layer soil water budget. Both approaches were evaluated over four plots of wheat and sugar beet located in the Haouz plain (Marrakech, Morocco) that were instrumented with eddy covariance systems during the 2012 and 2013 growing seasons. Series of ASTER images were acquired during the first agricultural season. Both models offered fair performances compared to  ET a   observations with Root Mean Square Error (RMSE) lower than 1\u00a0mm\u00a0day \u22121  apart from the FAO-56 dual approach on the sugar beet plot because of uncertain irrigation inputs. This highlights a major weakness of this model when water inputs are uncertain; a very likely case at the plot scale. By contrast, the TSEB model offered smoother performances in all cases. The potentialities of both approaches to predict a water stress index based on the departure from potential evapotranspiration ( ET  c ) was evaluated: although the FAO-56 dual was better suited to detect high water stresses, the TSEB model was able to detect moderate stresses without a need to prescribe water inputs. Finally, the partition of  ET a   between soil evaporation and plant transpiration was estimated indirectly by confrontation between simulated soil evaporation and surface (0\u20135\u00a0cm) soil moisture acquired spatially with Theta Probe sensors and taken as a proxy of soil evaporation. TSEB evaporation was well correlated to surface soil moisture (r\u00a0=\u00a00.82) for low Leaf Area Index (LAI) values ( 2 \u00a0m \u22122 ). In addition, TSEB predicted partition compared well to snapshot measurements based on the stable isotope method. This in-depth comparison of two simple tools to monitor  ET a   leads us to the conclusion that the TSEB model can reasonably be used to map  ET a   on large scale and possibly for the decision-making process of irrigation scheduling.", "keywords": ["FAO-56", "2. Zero hunger", "550", "Evapotranspiration", "NDVI", "Water stress", "0207 environmental engineering", "04 agricultural and veterinary sciences", "02 engineering and technology", "15. Life on land", "6. Clean water", "Surface temperature", "0401 agriculture", " forestry", " and fisheries", "TSEB"]}, "links": [{"href": "https://doi.org/10.1016/j.agwat.2017.08.007"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agricultural%20Water%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.agwat.2017.08.007", "name": "item", "description": "10.1016/j.agwat.2017.08.007", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agwat.2017.08.007"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-11-01T00:00:00Z"}}, {"id": "10.1016/j.agwat.2021.107290", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:16:07Z", "type": "Journal Article", "created": "2021-11-22", "title": "Assimilation of SMAP disaggregated soil moisture and Landsat land surface temperature to improve FAO-56 estimates of ET in semi-arid regions", "description": "Accurate estimation of evapotranspiration (ET) is of crucial importance in water science and hydrological process understanding especially in semi-arid/arid areas since ET represents more than 85% of the total water budget. FAO-56 is one of the widely used formulations to estimate the actual crop evapotranspiration (ET c act) due to its operational nature and since it represents a reasonable compromise between simplicity and accuracy. In this vein, the objective of this paper was to examine the possibility of improving ET c act estimates through remote sensing data assimilation. For this purpose, remotely sensed soil moisture (SM) and Land surface temperature (LST) data were simultaneously assimilated into FAO-dualK c. Surface SM observations were assimilated into the soil evaporation (E s) component through the soil evaporation coefficient, and LST data were assimilated into the actual crop transpiration (T c act) component through the crop stress coefficient. The LST data were used to estimate the water stress coefficient (K s) as a proxy of LST (LST proxy). The FAO-Ks was corrected by assimilating LST proxy derived from Landsat data based on the variances of predicted errors on K s estimates from FAO-56 model and thermal-derived K s. The proposed approach was tested over a semi-arid area in Morocco using first, in situ data collected during 2002-2003 and 2015-2016 wheat growth seasons over two different fields and then, remotely sensed data derived from disaggregated Soil Moisture Active Passive (SMAP) SM and Landsat-LST sensors were used. Assimilating SM data leads to an improvement of the ET c act model prediction: the root mean square error (RMSE) decreased from 0.98 to 0.65 mm/day compared to the classical FAO-dualK c using in situ SM. Moreover, assimilating both in situ SM and LST data provided more accurate results with a RMSE error of 0.55 mm/day. By using SMAP-based SM and Landsat-LST, results also improved in comparison with standard FAO and reached a RMSE of 0.73 mm/day against eddy-covariance ET c act measurements.", "keywords": ["2. Zero hunger", "0106 biological sciences", "Evapotranspiration", "550", "Evapotranspiration Data assimilation FAO-dualK c Soil moisture Land surface temperature", "0207 environmental engineering", "02 engineering and technology", "15. Life on land", "01 natural sciences", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "6. Clean water", "FAO-dualK(c)", "13. Climate action", "Data assimilation", "[SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology", "Soil moisture", "[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "environment", "Land surface temperature"]}, "links": [{"href": "https://doi.org/10.1016/j.agwat.2021.107290"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agricultural%20Water%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.agwat.2021.107290", "name": "item", "description": "10.1016/j.agwat.2021.107290", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agwat.2021.107290"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-02-01T00:00:00Z"}}, {"id": "10.1016/j.agwat.2022.107602", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-23T16:16:07Z", "type": "Journal Article", "created": "2022-04-01", "title": "A novel evapotranspiration based irrigation quantification method using the hydrological similar pixels algorithm", "description": "Globally, the agricultural sector is the largest consumer of fresh water, despite the increased efficiency in irrigation. Remote sensing is a valuable tool to monitor agricultural water use. In this study, we demonstrate a novel algorithm that computes high-resolution (10 m) remote sensing-based evapotranspiration (ET) data linked exclusively to irrigation, i.e. the incremental evapotranspiration (ETincr). The methodology compares the ET of irrigated agricultural pixels to the weighted average ET of a subset of natural Hydrological Similar Pixels (HSP). The hydrological similarity is based upon a set of features derived from DEM, soil texture, reference evapotranspiration, and precipitation datasets. The difference in ET between the subset of hydrological similar natural pixels and the corresponding irrigated agricultural pixel is explanatory for the amount of ET related to irrigation (ETincr). These results are then converted to the water use (m3) per agricultural field. The method is validated for three study areas in South Africa, Spain, and Australia. Comparing the monthly and seasonal water use estimates to water meter observations in the Hex Valley (South Africa), yielded an R2 of 0.751 and 0.780, respectively. For the Ebro (Spain) and Namoi (Australia) study areas, the accuracy of the monthly estimates decreased. In Australia, this was a result of the water meters being linked to local reservoirs, instead of the direct use of the irrigation systems. In total, 8 out of the 27 validation fields with monthly data showed a Kling-Gupta Efficiency (KGE) larger than 0.5, which highlights that the temporal variability can be captured well by the model. Generally, seasonal estimates showed to be most accurate, which makes the product suitable for comparison with seasonal water allocations and could help to monitor overconsumption in water-scarce environments.", "keywords": ["2. Zero hunger", "Hydrological Similar Pixels", "550", "0208 environmental biotechnology", "[SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology", "0207 environmental engineering", "02 engineering and technology", "[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology", "15. Life on land", "333", "630", "ETLook", "6. Clean water"]}, "links": [{"href": "https://doi.org/10.1016/j.agwat.2022.107602"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agricultural%20Water%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.agwat.2022.107602", "name": "item", "description": "10.1016/j.agwat.2022.107602", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agwat.2022.107602"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-06-01T00:00:00Z"}}, {"id": "10.1016/j.rhisph.2017.10.004", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-23T16:17:18Z", "type": "Journal Article", "created": "2017-10-23", "title": "Modelling water dynamics in the rhizosphere", "description": "Abstract   We review the recent progress in the use of image based modelling to describe water dynamics in the rhizosphere. In addition, we describe traditional modelling and experimental methods, and how images obtained from X-ray Computed Tomography can be used in combination with direct pore-scale modelling to answer questions on water movement in the rhizosphere. The focus of this review is on the need for micro-scale experiments to parameterize image-based modelling on the pore-scale, and to show how variations in these parameters can lead to different macroscopic parameters when considering the movement of water on the plant scale. We finish the review with an illustrative example which highlights the importance of fluid-to-fluid contact angle, and the need for care in image preparation when using detailed models of this type.", "keywords": ["550", "13. Climate action", "0207 environmental engineering", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "02 engineering and technology", "6. Clean water"]}, "links": [{"href": "https://eprints.soton.ac.uk/415238/1/171019_WaterDynamicsReview_Accepted.pdf"}, {"href": "https://doi.org/10.1016/j.rhisph.2017.10.004"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Rhizosphere", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.rhisph.2017.10.004", "name": "item", "description": "10.1016/j.rhisph.2017.10.004", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.rhisph.2017.10.004"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-12-01T00:00:00Z"}}, {"id": "10.1016/j.rse.2016.02.046", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:17:18Z", "type": "Journal Article", "created": "2016-03-05", "title": "Comparison of remote sensing and simulated soil moisture datasets in Mediterranean landscapes", "description": "AbstractThis paper presents the comparison of three global soil moisture products (ASCAT, AMSR and SMOS) versus a land surface model over a region representative of several Mediterranean landscapes located in the Northeast of the Iberian Peninsula. Our approach has been for agricultural and water management applications at the regional and local scale. Despite being a rather small area, we were able to observe different signal behaviours corresponding to major land cover classes in Mediterranean areas i.e.: dryland and irrigated crops, forests and natural vegetation (grass-shrubs). The area also allowed assessing the impact of topography. The first result of the study is that the results are very dependent on the normalizations used to make the data comparable, thus their impact must be carefully analysed. In this study, we applied two different normalisation methods (called ZV35 and ZV) and different moving average windows (1, 10 and 30days) in order to enhance seasonal effects. Using no smoothing window, ASCAT is the soil moisture product that correlates best with the LSM over all cover classes, whatever the method. Using smoothing window, AMSR-E tends to outperform other soil moisture products with the ZV method. The ZV35 method is not able to identify a small heavily irrigated area. The reason for these different results is that ZV35, tends to eliminate the monthly scale soil moisture memory and therefore becomes more sensitive to precipitation and less sensitive to the monthly evolution of superficial soil moisture. The comparison shows in general good agreement for all soil moisture products with the LSM on the temporal series simulated over flat, non irrigated areas which are not close to the sea. SMOS has difficulties in areas close to the sea and in areas with steep relief and the current version of the L2 Operational Algorithm (V5.51) depicts few values in forested areas. ASCAT, in its turn, shows some limitations over agricultural and natural vegetation where it shows an increase of soil moisture from June to October probably due to increase of penetration depth in dry soil moisture conditions. AMSR-E LPRM shows a clear vegetation cycle over all the land cover classes. From all the remote sensing products, SMOS is the only one able to see irrigation and the only that does not show clear vegetation or roughness effects. In this study, we were able to assess the impact of higher resolution soil moisture products to map irrigated areas.", "keywords": ["2. Zero hunger", "0207 environmental engineering", "Soil Science", "Agriculture", "Geology", "AMSR-E", "02 engineering and technology", "15. Life on land", "16. Peace & justice", "01 natural sciences", "6. Clean water", "Water management", "ASCAT", "13. Climate action", "Regional scale", "LSM", "Soil moisture", "Computers in Earth Sciences", "Irrigation", "SMOS", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.rse.2016.02.046"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing%20of%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.rse.2016.02.046", "name": "item", "description": "10.1016/j.rse.2016.02.046", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.rse.2016.02.046"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-07-01T00:00:00Z"}}, {"id": "10.1016/j.rse.2016.11.010", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:17:18Z", "type": "Journal Article", "created": "2016-11-26", "title": "Normalizing land surface temperature data for elevation and illumination effects in mountainous areas: A case study using ASTER data over a steep-sided valley in Morocco", "description": "Abstract   The remotely sensed land surface temperature (LST) is a key parameter to monitor surface energy and water fluxes but the strong impact of topography on LST has limited its use to mostly flat areas. To fill the gap, this study proposes a physically-based method to normalize LST data for topographic - namely illumination and elevation - effects over mountainous areas. Both topographic effects are first quantified by inverting a dual-source soil/vegetation energy balance (EB) model forced by 1) the instantaneous solar radiation simulated by a 3D radiative transfer model named DART (Discrete Anisotropic Radiative Transfer) that uses a digital elevation model (DEM), 2) a satellite-derived vegetation index, and 3) local meteorological (air temperature, air relative humidity and wind speed) data available at a given location. The satellite LST is then normalized for topography by simulating the LST using both pixel- and image-scale DART solar radiation and elevation data. The approach is tested on three ASTER (Advanced Spaceborne Thermal Emission and Reflection Radiometer) overpass dates over a steep-sided 6\u00a0km by 6\u00a0km area in the Atlas Mountain in Morocco. The mean correlation coefficient and root mean square difference (RMSD) between EB-simulated and ASTER LST is 0.80 and 3\u00a0\u00b0C, respectively. Moreover, the EB-based method is found to be more accurate than a more classical approach based on a multi-linear regression with DART solar radiation and elevation data. The EB-simulated LST is also evaluated against an extensive ground dataset of 135 autonomous 1-cm depth temperature sensors deployed over the study area. While the mean RMSD between 90\u00a0m resolution ASTER LST and localized ibutton measurements is 6.1\u00a0\u00b0C, the RMSD between EB-simulated LST and ibutton soil temperature is 5.4 and 5.3\u00a0\u00b0C for a DEM at 90\u00a0m and 8\u00a0m resolution, respectively. The proposed topographic normalization is self-calibrated from (LST, DEM, vegetation index and in situ meteorological data) data available over large extents. As a significant perspective this approach opens the path to using normalized LST as input to evapotranspiration retrieval methods based on LST.", "keywords": ["[SDE] Environmental Sciences", "550", "Topographic normalization", "DEM", "0207 environmental engineering", "Energy balance", "02 engineering and technology", "01 natural sciences", "ASTER", "13. Climate action", "[SDE]Environmental Sciences", "DART", "Land surface temperature", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.rse.2016.11.010"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing%20of%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.rse.2016.11.010", "name": "item", "description": "10.1016/j.rse.2016.11.010", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.rse.2016.11.010"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-02-01T00:00:00Z"}}, {"id": "10.1016/j.rse.2018.04.013", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:17:18Z", "type": "Journal Article", "created": "2018-04-24", "title": "Retrieving surface soil moisture at high spatio-temporal resolution from a synergy between Sentinel-1 radar and Landsat thermal data: A study case over bare soil", "description": "Radar data have been used to retrieve and monitor the surface soil moisture (SM) changes in various conditions. However, the calibration of radar models whether empirically or physically-based, is still subject to large uncertainties especially at high-spatial resolution. To help calibrate radar-based retrieval approaches to supervising SM at high resolution, this paper presents an innovative synergistic method combining Sentinel-1 (S1) microwave and Landsat-7/8 (L7/8) thermal data. First, the S1 backscatter coefficient was normalized by its maximum and minimum values obtained during 2015\u20132016 agriculture season. Second, the normalized S1 backscatter coefficient was calibrated from reference points provided by a thermal-derived SM proxy named soil evaporative efficiency (SEE, defined as the ratio of actual to potential soil evaporation). SEE was estimated as the radiometric soil temperature normalized by its minimum and maximum values reached in a water-saturated and dry soil, respectively. We estimated both soil temperature endmembers by using a soil energy balance model forced by available meteorological forcing. The proposed approach was evaluated against in situ SM measurements collected over three bare soil fields in a semi-arid region in Morocco and we compared it against a classical approach based on radar data only. The two polarizations VV (vertical transmit and receive) and VH (vertical transmit and horizontal receive) of the S1 data available over the area are tested to analyse the sensitivity of radar signal to SM at high incidence angles (39\u00b0\u201343\u00b0). We found that the VV polarization was better correlated to SM than the VH polarization with a determination coefficient of 0.47 and 0.28, respectively. By combining S1 (VV) and L7/8 data, we reduced the root mean square difference between satellite and in situ SM to 0.03\u202fm3\u202fm\u22123, which is far smaller than 0.16\u202fm3\u202fm\u22123 when using S1 (VV) only.", "keywords": ["550", "[SDE.IE]Environmental Sciences/Environmental Engineering", "Sentinel-1 (A/B)", "near surface soil moisture", "Bare soil", "0211 other engineering and technologies", "Sentinel-1 (AB)", "02 engineering and technology", "15. Life on land", "Landsat-78", "01 natural sciences", "Energy balance modelling", "Near surface soil moisture", "Landsat-7/8", "bare soil", "13. Climate action", "energy balance modelling", "soil evaporation", "[SDE.IE] Environmental Sciences/Environmental Engineering", "Soil evaporation", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://hal.archives-ouvertes.fr/hal-01912888/file/Amazirh%20et%20al_2018%20%281%29.pdf"}, {"href": "https://doi.org/10.1016/j.rse.2018.04.013"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing%20of%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.rse.2018.04.013", "name": "item", "description": "10.1016/j.rse.2018.04.013", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.rse.2018.04.013"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-06-01T00:00:00Z"}}, {"id": "10.1016/j.rse.2020.112030", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:17:19Z", "type": "Journal Article", "created": "2020-08-12", "title": "Sun-induced fluorescence closely linked to ecosystem transpiration as evidenced by satellite data and radiative transfer models", "description": "Closed Access[EN] Transpiration (7) returns about half of continental precipitation back into the atmosphere. However, the global spatial and temporal dynamics of transpiration are highly uncertain, and current estimates rely on either indirect remote sensing or empirical model formulations. Here, we show that T can be estimated reliably at the global scale using observations of plant sun-induced fluorescence (SIF). To do so, we derive T using two different methods from globally-distributed eddy-covariance measurements and compare it with satellite SIF retrievals from GOME-2 and OCO-2. Whereas most research to date has focused on the link between SIF and gross primary production (GPP), we demonstrate that SIF is as highly correlated with T (mean correlation coefficient R of 0.76 across sites for 16-day periods with GOME-2 and 0.75 at the daily scale with OCO-2). SIF shows a greater predictive skill to estimate T than traditional optical vegetation indices and its dynamics are very similar to those of T. Through the use of an advanced radiative transfer model, we also demonstrate a clear empirical link between SIF and T. At 83 FLUXNET sites, remote sensing data and flux-derived GPP and T are used to estimate the relevant parameters of the Soil Canopy Observation of Photosynthesis and Energy fluxes (SCOPE) radiative transfer model and to model SIF. While the relationship between SIF and photosynthesis (GPP) is mostly controlled by leaf biochemical properties and plant structure, the SIF-T relationship appears largely determined by air temperature and intrinsic water use efficiency. Our findings suggest that ongoing advances in satellite SIF retrievals will allow for a more direct estimation of transpiration over large scales", "keywords": ["Evapotranspiration", "FLUXNET", "0207 environmental engineering", "02 engineering and technology", "Solar-induced fluorescence", "15. Life on land", "01 natural sciences", "Transpiration", "OCO-2", "GOME-2", "SCOPE", "13. Climate action", "FISICA APLICADA", "Photosynthesis", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.rse.2020.112030"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing%20of%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.rse.2020.112030", "name": "item", "description": "10.1016/j.rse.2020.112030", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.rse.2020.112030"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-11-01T00:00:00Z"}}, {"id": "10.1016/j.envsoft.2020.104770", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-23T16:16:40Z", "type": "Journal Article", "created": "2020-06-16", "title": "METRIC-GIS: An advanced energy balance model for computing crop evapotranspiration in a GIS environment", "description": "A novel ArcGIS toolbox that applies the Mapping Evapotranspiration with Internalized Calibration model was developed and tested in a semi-arid environment. The tool, named METRIC-GIS, facilitates the pre-processing operations and the automatic identification of potential calibration and pixels review. The energy balance components obtained from METRIC-GIS were contrasted with those from the original METRIC version (R2 = 1; RMSE = 0 W m\u22122 or mm day\u22121 for ETc) Additionally, an irrigated scheme located at southern Spain was considered for assessing Kc variability in the maize fields with METRIC-GIS. The identified spatial variability was mainly due to differences in irrigation regimes, crop management practices, and planting and harvesting dates. This information is critical for developing irrigation advisory strategies that contribute to the area sustainability. The developed tool facilitates data input introduction and reduces computational time by up to 50%, providing a more user-friendly alternative to other existing platforms that use METRIC. This research was funded by the projects RTA2011-00015-00-00 funded by the National Institute for Agricultural and Food Research and Technology (INIA) and FEDER 2014\u20132020 \u201cPrograma Operativo de Crecimiento Inteligente\u201d and by the European Commission with project \u201cSHui\u201d (grant number: 773903). Additional funding support was provided by the Nebraska Agricultural Experiment Station and Idaho Agricultural Experiment Station.", "keywords": ["550", "satellite", "evapotranspiration", "0207 environmental engineering", "02 engineering and technology", "630", "Modelling", "Water requirements", "modelling", "remote sensing", "Natural Resources and Conservation", "crop coefficient", "2. Zero hunger", "Evapotranspiration", "Natural Resources Management and Policy", "Crop coefficients", "water requirements", "04 agricultural and veterinary sciences", "Remote sensing", "15. Life on land", "6. Clean water", "Satellite", "Crop coefficient", "0401 agriculture", " forestry", " and fisheries", "Other Environmental Sciences", "Environmental Sciences"]}, "links": [{"href": "https://www.iris.unict.it/bitstream/20.500.11769/552482/2/Environmental%20modelling%20and%20software%202020.pdf"}, {"href": "https://doi.org/10.1016/j.envsoft.2020.104770"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Modelling%20%26amp%3B%20Software", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.envsoft.2020.104770", "name": "item", "description": "10.1016/j.envsoft.2020.104770", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.envsoft.2020.104770"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-09-01T00:00:00Z"}}, {"id": "10.1016/j.asr.2019.05.027", "type": "Feature", "geometry": null, "properties": {"license": "Closed Access", "updated": "2026-06-23T16:16:14Z", "type": "Journal Article", "created": "2019-06-04", "title": "Variability and accuracy of Zenith Total Delay over the East African tropical region", "description": "The Global Navigation Satellite System (GNSS) can be used to derive accurately the Zenith Tropospheric Delay (ZTD) under all-weather conditions. The derived ZTDs play a vital role in climate studies, weather forecasting and are operationally assimilated into numerical weather prediction models. In this study, variations and statistical analysis of GNSS-derived ZTD over the East African tropical region are analysed. The data is collected from 13 geodetic permanent stations for the period of 4 years from 2013 to 2016. The 13 stations consist of 5 International GNSS Service (IGS) stations plus 8 stations as follows: 4 Africa Array stations and 4 Malawi Rifting stations from Uganda, Kenya, Tanzania and Rwanda. The ZTD time series were processed using goGPS software version 1.0 beta1, a MATLAB based GNSS processing software, originally developed for kinematic applications but recently re-engineered for quasi static applications. The annual variation of the ZTD time series was investigated using Lomb Scargle periodograms. The semi-annual frequency has the dominant power in subregion 1 (latitudes 4 \u00b0S and 4 \u00b0N) and the annual frequency has the dominant power in subregion 2 (latitudes 12 \u00b0S to 4 \u00b0S). The highest ZTD estimates occur during the rainy seasons, at all stations, and the lowest estimates occur during the dry seasons. The results also show that the ZTD estimates are largest at stations located at low elevation (regions close to the Indian Ocean). The derived ZTDs are compared to the values derived from the GIPSY-OASIS via Jet Propulsion Laboratory (JPL) online Automatic Precise Positioning Service (APPS) and the Unified Environmental Modelling System (UEMS) numerical weather prediction (NWP) model. The comparison of goGPS and APPS ZTD at the 13 stations shows an overall average bias, Root Mean Square (RMS) and standard deviation (stdev) of \u22120.9 mm, 3.2 mm and 3.0 mm respectively, with correlation coefficients ranging from 0.974 to 0.999. The comparison of goGPS ZTD against UEMS NWP ZTD at 8 selected stations shows average bias, RMS and stdev of \u221212.4 mm, 22.0 mm and 17.6 mm respectively, with correlation coefficients ranging from 0.802 to 0.974. The agreement between the GPS ZTD and the NWP ZTD indicates that goGPS ZTD can be assimilated into NWP models in the East African region.", "keywords": ["GNSS", "goGPS", "Zenith tropospheric delay", "13. Climate action", "UEMS-NWP", "0207 environmental engineering", "02 engineering and technology", "551", "Precise point positioning", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.asr.2019.05.027"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Advances%20in%20Space%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.asr.2019.05.027", "name": "item", "description": "10.1016/j.asr.2019.05.027", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.asr.2019.05.027"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-08-01T00:00:00Z"}}, {"id": "10.1016/j.asr.2020.02.003", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-23T16:16:14Z", "type": "Journal Article", "created": "2020-02-13", "title": "Performance of ERA5 data in retrieving Precipitable Water Vapour over East African tropical region", "description": "Abstract   The accuracy of surface meteorological measurements is vital to derive accurate Global Positioning System (GPS) Precipitable Water Vapour (PWV) data. However, in absence of surface meteorological data, data from Numerical Weather Prediction Models (NWP) are used. The accuracy of these models varies depending on the model, region, season and other climatic conditions. In this study, GPS data for derivation of PWV is collected from 13 geodetic permanent stations for the years 2013 to 2016. Five out of 13 GPS stations are equipped with meteorological sensors. The interpolated European Centre for Medium-Range Weather Forecasts (ECMWF) 5th Re-Analysis (ERA5) dataset at these locations is first validated using the meteorological data from these sensors. The assessment shows that the average root mean square errors (RMSE) of surface pressure and temperature values are about 0.72\u00a0hPa and 1.04\u00a0K respectively. PWV determined also requires information on the weighted mean temperature (      T    m      ); the       T    m       at the 13 GPS stations was also evaluated using three methods: the temperature and humidity profiles from ERA5 (ERA5       T    m      ), as well as the       T    m       derived from Bevis and Yao       T    m       -       T    s       relationships. The       T    m       derived from ERA5 was used as a reference to assess the errors of the Bevis and Yao       T    m      . The comparisons show that the average RMSE values of       T    m       derived from the two methods are 2.05\u00a0K and 2.02\u00a0K respectively. The GPS PWVs calculated using the ERA5 interpolated data (GPS ERA5 PWV) were compared to GPS PWV calculated using the sensor meteorological data (GPS MET PWV) at the 5 stations. The GPS ERA5 PWV values were used as the reference. The RMSE values of the two PWV datasets are in the range of 0.19\u00a0mm to 0.90\u00a0mm with overall average value of 0.44\u00a0mm. Also the computed ERA5 PWV data are compared to GPS ERA5 PWV at the 13 stations. ERA5 PWV values were used as the reference and the RMS errors of the two PWV values are in the range 1.35\u00a0mm to 2.25\u00a0mm with the overall average value of 1.66\u00a0mm. Regarding the seasonal variations, the stations between latitudes 4     \u00b0    S and 4     \u00b0    N and latitudes 12     \u00b0    S to 4     \u00b0    S have the highest PWV values in spring and summer while the lowest values occur in summer and winter respectively.", "keywords": ["PWV", "GNSS", "13. Climate action", "0207 environmental engineering", "ERA5", "NWP", "02 engineering and technology", "01 natural sciences", "333", "ECMWF", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.asr.2020.02.003"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Advances%20in%20Space%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.asr.2020.02.003", "name": "item", "description": "10.1016/j.asr.2020.02.003", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.asr.2020.02.003"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-04-01T00:00:00Z"}}, {"id": "10.1016/j.atmosres.2020.105264", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-23T16:16:15Z", "type": "Journal Article", "created": "2020-09-15", "title": "Destinations frequently impacted by dust storms originating from southwest Iran", "description": "<p>Deserts can be considered as one of the main sources of dust emissions as they are highlyvulnerable to wind erosion, i.e. The lack of vegetative cover, as well as low soil wetness,contribute to the release of particles by wind erosion. The present study examines theseasonal variation in sand and dust storms (SDSs) originating from war-impacted semi-aridbare lands affected by chemical warfare located in southwest Iran for the period of 2007-2018. It employs a synthesis of satellite observations and Hybrid Single-Particle LagrangianIntegrated Trajectory (HYSPLIT) model trajectories. A regression analysis betweenannual/seasonal absorbing aerosol index distribution and selected parameters indicated strongcorrelation with surface skin temperature, topsoil layer wetness, and 10-m wind speed.During both cold and warm periods, Kuwait and the Persian Gulf were highly vulnerable toepisodic dust incursions as they were identified in the maximum impact zone (frequency of100%). The Persian Gulf was affected by about 12% of the total air masses during the warmperiod, which increased to 74% during the cold period. Regarding the vulnerability to thehigh wind of war-impacted regions presumably contaminated with potentially toxic elements(PTEs) and toxic compounds, the particles of contaminated dust may have been continuouslytransported over by the strong winds, not only the surrounding region but also long distancesincluding agricultural land and marine environment. The study area would possibly pose adanger to the environment and human health; therefore, a detailed site characterization toinvestigate the degree of contamination with PTEs and toxic compounds is warranted.</p>", "keywords": ["Civil and Environmental Engineering", "bepress|Engineering|Civil and Environmental Engineering|Environmental Engineering", "engrXiv|Engineering|Civil and Environmental Engineering|Environmental Engineering", "Environmental Engineering", "bepress|Engineering", "15. Life on land", "01 natural sciences", "Engineering", "engrXiv|Engineering", "bepress|Engineering|Civil and Environmental Engineering", "13. Climate action", "engrXiv|Engineering|Civil and Environmental Engineering", "TD", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://wrap.warwick.ac.uk/149216/1/WRAP-Destinations-frequently-impacted-dust-storms-originating-2021.pdf"}, {"href": "https://doi.org/10.1016/j.atmosres.2020.105264"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Atmospheric%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.atmosres.2020.105264", "name": "item", "description": "10.1016/j.atmosres.2020.105264", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.atmosres.2020.105264"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-01T00:00:00Z"}}, {"id": "10.1016/j.biosystemseng.2017.09.015", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:16:18Z", "type": "Journal Article", "created": "2017-10-23", "title": "Modified Penman\u2013Monteith equation for monitoring evapotranspiration of wheat crop: Relationship between the surface resistance and remotely sensed stress index", "description": "Evapotranspiration (ET) plays an essential role for detecting plant water status, estimating crop water needs and optimising irrigation management. Accurate estimates of ET at field scale are therefore critical. The present paper investigates a remote sensing and modelling coupled approach for monitoring actual ET of irrigated wheat crops in the semi-arid region of Tensift Al Haouz (Morocco). The ET modelling is based on a modified Penman\u2013Monteith equation obtained by introducing a simple empirical relationship between surface resistance (rc) and a stress index (SI). SI is estimated from Landsat-derived land surface temperature (LST) combined with the LST endmembers (in wet and dry conditions) simulated by a surface energy balance model driven by meteorological forcing and Landsat-derived fractional vegetation cover. The proposed model is first calibrated using eddy covariance measurements of ET during one growing season (2015\u20132016) over an experimental flood-irrigated wheat field located within the irrigated perimeter named R3. It is then validated during the same growing season over another drip-irrigated wheat field located in the same perimeter. Next, the proposed ET model is implemented over a 10\u00a0\u00d7\u00a010\u00a0km2 area in R3 using a time series of Landsat-7/8 reflectance and LST data. The comparison between modelled and measured ET fluxes indicates that the model works well. The Root Mean Square Error (RMSE) values over drip and flood sites were 13 and 12\u00a0W\u00a0m\u22122, respectively. The proposed approach has a great potential for detecting crop water stress and estimating crop water requirements over large areas along the agricultural season.", "keywords": ["0106 biological sciences", "2. Zero hunger", "550", "Evapotranspiration", "Penman-30", "0207 environmental engineering", "02 engineering and technology", "15. Life on land", "01 natural sciences", "630", "Crop water stress", "6. Clean water", "[SDE.ES] Environmental Sciences/Environment and Society", "Bulk surface resistance", "[SDE.ES]Environmental Sciences/Environment and Society", "Landsat"]}, "links": [{"href": "https://doi.org/10.1016/j.biosystemseng.2017.09.015"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biosystems%20Engineering", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.biosystemseng.2017.09.015", "name": "item", "description": "10.1016/j.biosystemseng.2017.09.015", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.biosystemseng.2017.09.015"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-12-01T00:00:00Z"}}, {"id": "10.1016/j.biosystemseng.2017.10.017", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-23T16:16:18Z", "type": "Journal Article", "created": "2017-11-20", "title": "Evaluation and analysis of deep percolation losses of drip irrigated citrus crops under non-saline and saline conditions in a semi-arid area", "description": "In arid and semi-arid regions, irrigation management is important to avoid water loss by soil evaporation and deep percolation (DP). In this context, estimating the irrigation water demand has been investigated by many studies in the Haouz plain. However, DP losses beneath irrigated areas in the plain have not been quantified. To fill the gap, this study evaluated DP over two drip-irrigated citrus orchards (Agafay and Saada) using both water balance and direct fluxmeter measurement methods, and explored the simple FAO-56 approach to optimise irrigation in order to both avoid crop water stress and reduce DP losses in case of non-saline and saline soils. The experimental measurements determined different terms of the water balance by using an Eddy-Covariance system, fluxmeter, soil moisture sensors and a meteorological station. Using the water balance equation and fluxmeter measurements, results showed that about 37% and 45% of supplied water was lost by DP in Saada and Agafay sites, respectively. The main cause of DP losses was the mismatch between irrigation and the real crop water requirement. For Agafay site, it was found that increased over-irrigation had the effect of reducing soil salinity by leaching salts.  The applied FAO-56 model suggested an optimal irrigation scheduling by taking into account both rainfall and soil salinity. The recommended irrigations could save about 39% of supplied water in non-saline soil at Saada and from 30% to 47% in saline soil at Agafay.", "keywords": ["Fluxmeter", "[SDV.SA.AGRO] Life Sciences [q-bio]/Agricultural sciences/Agronomy", "[SDE] Environmental Sciences", "0106 biological sciences", "2. Zero hunger", "550", "[SDE.IE]Environmental Sciences/Environmental Engineering", "[SDV.SA.AGRO]Life Sciences [q-bio]/Agricultural sciences/Agronomy", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "630", "Irrigation scheduling", "6. Clean water", "[SDE]Environmental Sciences", "FAO-56 approach", "0401 agriculture", " forestry", " and fisheries", "[SDE.IE] Environmental Sciences/Environmental Engineering", "Water balance", "Saline soil"]}, "links": [{"href": "https://doi.org/10.1016/j.biosystemseng.2017.10.017"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biosystems%20Engineering", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.biosystemseng.2017.10.017", "name": "item", "description": "10.1016/j.biosystemseng.2017.10.017", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.biosystemseng.2017.10.017"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-01-01T00:00:00Z"}}, {"id": "10.1016/j.catena.2004.09.008", "type": "Feature", "geometry": null, "properties": {"license": "Closed Access", "updated": "2026-06-23T16:16:19Z", "type": "Journal Article", "created": "2004-12-06", "title": "Runoff And Sediment Losses From Rough And Smooth Soil Surfaces In A Laboratory Experiment", "description": "Soil surface roughness may significantly impact runoff and erosion under rainfall. A common perception is that runoff and erosion are decreased as a function of roughness because of surface ponding and increased hydraulic roughness that reduces effective flow shear stress. The objective of this study was to measure the effects of initial surface roughness on runoff and erosion under controlled laboratory conditions. Initially, rough and smooth surfaces were exposed to five simulated rainfall applications at 5% and 20% slopes. In all cases, runoff was delayed for the case of the initially rough surface; however, this effect was temporary. Overall, no statistical differences in either total runoff or erosion were measured on the 20% slope. At 5% slope, runoff was less on the rough surface for the first rainfall application but greater on the final three, probably due to the formation of a depositional seal in that case. This resulted in an overall insignificant difference in runoff for the sum of the five rainfall applications. Erosion was greater on the rougher slope at 5% steepness, probably due to concentration of flow as it moved around the roughness elements on the rougher slope. These results indicate that commonly held perceptions of the impact of soil surface roughness on runoff and erosion may not be entirely correct in all cases. D 2004 Elsevier B.V. All rights reserved.", "keywords": ["0208 environmental biotechnology", "0207 environmental engineering", "02 engineering and technology"], "contacts": [{"organization": "Mark A. Nearing, J.A. G\u00f3mez,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1016/j.catena.2004.09.008"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/CATENA", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.catena.2004.09.008", "name": "item", "description": "10.1016/j.catena.2004.09.008", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.catena.2004.09.008"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2005-01-01T00:00:00Z"}}, {"id": "10.1016/j.catena.2009.08.007", "type": "Feature", "geometry": null, "properties": {"license": "Closed Access", "updated": "2026-06-23T16:16:19Z", "type": "Journal Article", "created": "2009-09-10", "title": "Factors Affecting Soil Loss At Plot Scale And Sediment Yield At Catchment Scale In A Tropical Volcanic Agroforestry Landscape", "description": "Abstract   Tropical deforestation and land use change is often perceived as the major cause of soil loss by water erosion and of sediment load in rivers that has a negative impact on the functioning of hydropower storage reservoirs. The Sumberjaya area in Sumatra, Indonesia is representative for conflicts and evictions arising from this perception. The purpose of this study as part of a Negotiation Support System approach was to assess sediment yield both at plot and catchment scale and to relate it to a variety of possible clarifying factors i.e. land use, geology, soil and topography. Sediment yield at catchment scale per unit area, was found to be 3\u201310 times higher than soil loss measured in erosion plots. A stepwise regression showed that the dominant factors explaining sediment yield differences at catchment scale in this volcanic landscape were a particular lithology (Old Andesites) and slope angle followed by the silt fraction of the top soil. In lithologically sensitive areas soil loss at the plot scale under monoculture coffee gardens decreases over time from on average 7\u201311\u00a0Mg\u00a0ha\u2212\u00a01\u00a0yr\u2212\u00a01 to 4\u20136\u00a0Mg\u00a0ha\u2212\u00a01\u00a0yr\u2212\u00a01, mainly because of the development of surface litter layers as filters and top soil compaction in the areas without litter, but remains higher than under shade coffee systems or forest. The runoff coefficient under monoculture coffee remains on average significantly higher (10\u201315%) than under forest (4%) or under shade coffee systems (4\u20137%). In lithologically stable areas soil loss remained below 1.8\u00a0Mg\u00a0ha\u2212\u00a01\u00a0yr\u2212\u00a01 and the runoff coefficient below 2.5% under all land use types, even bare soil plots or monoculture coffee gardens. Less than 20% of the catchment area produces almost 60% of the sediment yield. The reduction of negative off-site effects on e.g. the life time of a storage reservoir would benefit greatly from an improved assessment of the lithologies in volcanic landscapes and the consideration of potential sediment source and sink areas. In lithologically sensitive areas, a shift from sun to shade coffee systems may result in reducing surface runoff and soil loss, although water erosion at the plot scale is not the main contributor to sediment yield at the catchment scale. The quantification of land use effects on dominant erosive processes such as river bank and river bed erosion, landslides and the concentrated flow erosion on footpaths and roads can contribute to more targeted efforts and relevant incentives to reduce (or live with) sediment load of the rivers.", "keywords": ["2. Zero hunger", "13. Climate action", "0207 environmental engineering", "02 engineering and technology", "15. Life on land", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.catena.2009.08.007"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/CATENA", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.catena.2009.08.007", "name": "item", "description": "10.1016/j.catena.2009.08.007", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.catena.2009.08.007"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2010-01-01T00:00:00Z"}}, {"id": "10.1016/j.catena.2014.07.019", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-23T16:16:20Z", "type": "Journal Article", "created": "2014-08-28", "title": "In Memoriam: Dan Hardy Yaalon 1924\u20132014", "keywords": ["0207 environmental engineering", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "02 engineering and technology"]}, "links": [{"href": "https://doi.org/10.1016/j.catena.2014.07.019"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/CATENA", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.catena.2014.07.019", "name": "item", "description": "10.1016/j.catena.2014.07.019", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.catena.2014.07.019"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2014-12-01T00:00:00Z"}}, {"id": "10.1016/j.catena.2016.06.015", "type": "Feature", "geometry": null, "properties": {"license": "Closed Access", "updated": "2026-06-23T16:16:21Z", "type": "Journal Article", "created": "2016-06-16", "title": "Temporal changes of streamflow and its causes in the Liao River Basin over the period of 1953\u20132011, northeastern China", "description": "Abstract   Under the impacts of climate change and human activities, violent fluctuations of streamflow are observed in large river basins in China. Therefore, comparative assessment of the climatic and anthropogenic influence is crucial for better water resources planning and management. This study investigates the streamflow change in the Liao River Basin (LRB), one of the largest basins in northeast China, using long-term hydrological and meteorological data for the period of 1953\u20132011. The nonparametric Mann\u2013Kendall test, Pettitt test, and cumulative anomaly curve are used to identify trends and change points of the hydro-meteorological variables. In the past 59\u00a0years, the annual and seasonal mean streamflow exhibited significant downward trend. The monthly mean streamflow presented upward trends in January, February, and May, while a downward trend was observed in other seasons. Turning points in the streamflow occurred in the years 1964, 1984, and 1998, which divide the long-term runoff series into a natural (baseline) and three human-induced periods. The high (Q5), low (Q95), and median (Q50) flow during the natural period (1953\u20131964) was higher than that in two human-induced periods (1965\u20131984 and 1999\u20132011). The hydrologic sensitivity method was employed to evaluate the effects of climate change and human activities on the annual runoff during the human-induced periods. The results revealed that anthropogenic influence had a far greater contribution (>\u00a056.6%) to the streamflow variability than that by climate change (", "keywords": ["13. Climate action", "0207 environmental engineering", "02 engineering and technology", "15. Life on land", "01 natural sciences", "6. Clean water", "0105 earth and related environmental sciences"], "contacts": [{"organization": "Jiang, Chong, Wang, Fei,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1016/j.catena.2016.06.015"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/CATENA", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.catena.2016.06.015", "name": "item", "description": "10.1016/j.catena.2016.06.015", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.catena.2016.06.015"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-10-01T00:00:00Z"}}, {"id": "10.1016/j.catena.2016.06.034", "type": "Feature", "geometry": null, "properties": {"license": "Closed Access", "updated": "2026-06-23T16:16:21Z", "type": "Journal Article", "created": "2016-07-01", "title": "Are Rubber-Based Agroforestry Systems Effective In Controlling Rain Splash Erosion?", "description": "Abstract   In order to evaluate the influence of different types of rubber-based agroforestry systems on soil erosion processes, rainfall and throughfall erosivity (splash erosion potential) were measured in an open field environment and under different vegetation types using sand-filled Tubingen splash cups. Our results indicate that the splash erosion potential under rubber monoculture was, on average, 3.12 times greater than those in the open environment. Splash erosion potential under agroforestry systems was higher than that of an open environment (ranging from 1.22 to 2.18 times greater), except for the rubber and tea system (0.87 times the open environment). However, in all but one system (the rubber and orange system), there was a significant reduction in splash erosion beneath multiple canopies compared to monoculture, especially for the rubber and tea system (0.27 times the monoculture) where it had high sub-canopy closure and low sub-canopy height. The erosion potential under the forest is closely related to the forest structure, especially height and canopy cover. These results indicate that low canopy height with high sub-canopy coverage is the major control on the amount of splash erosion, regardless of how the splash potential is increased by the canopy above. These results highlight the importance of selecting low near-surface intercrops for constructing rubber-based agroforestry systems. This also accentuates the importance of an intact litter layer in rubber plantations to protect the soil against splash erosion. Disturbance of these forests by latex tapping activities, herbicide application and removal of the litter layer during fertilization, for example, will also lead to higher actual splash erosion rates inside the forests in comparison with the open environment.", "keywords": ["2. Zero hunger", "13. Climate action", "0207 environmental engineering", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "02 engineering and technology", "15. Life on land"], "contacts": [{"organization": "Junen Wu, Junen Wu, Chunfeng Chen, Chunfeng Chen, Chunjing Zhu, Chunjing Zhu, Wenjie Liu,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1016/j.catena.2016.06.034"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/CATENA", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.catena.2016.06.034", "name": "item", "description": "10.1016/j.catena.2016.06.034", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.catena.2016.06.034"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-12-01T00:00:00Z"}}, {"id": "10.1016/j.catena.2016.09.013", "type": "Feature", "geometry": null, "properties": {"license": "Closed Access", "updated": "2026-06-23T16:16:21Z", "type": "Journal Article", "created": "2016-11-09", "title": "The Effect Of Litter Layer On Controlling Surface Runoff And Erosion In Rubber Plantations On Tropical Mountain Slopes, Sw China", "description": "Abstract   In order to investigate the influence of the litter layer and undergrowth intercrops on surface runoff and soil erosion, experimental field plots were monitored over one rainy season in a rubber monoculture and a rubber/tea agroforestry system. Results indicated that the cumulative runoff from plots with bare soil was 1.7 and 2.3 times higher than plots with a litter layer, and with a litter layer plus undergrowth, respectively. Overall, soil erosion from plots with bare soil, plots with a litter layer, and plots with a litter layer plus undergrowth was 4.73, 1.92 and 0.91\u00a0t\u00a0ha\u2212\u00a01, respectively. This suggests that rubber/tea agroforestry was more effective in runoff and erosion control than rubber monoculture. In contrast to runoff, soil erosion was found to be highly correlated with rainfall intensity, but weakly correlated with rainfall volumes. In the early rainy season when litterfall was considerably abundant (litter coverage >\u00a070%), runoff and soil erosion in both the litter plots and litter plus undergrowth plots were significantly lower compared to the bare soil plots, or plots with only undergrowth. In the late rainy season when litter coverage", "keywords": ["2. Zero hunger", "0207 environmental engineering", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "02 engineering and technology", "15. Life on land"], "contacts": [{"organization": "Junen Wu, Junen Wu, Wenping Duan, Hongjian Lu, Hongjian Lu, Qinpu Luo, Qinpu Luo, Wenjie Liu,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1016/j.catena.2016.09.013"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/CATENA", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.catena.2016.09.013", "name": "item", "description": "10.1016/j.catena.2016.09.013", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.catena.2016.09.013"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-02-01T00:00:00Z"}}, {"id": "10.1016/j.catena.2022.106181", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-23T16:16:21Z", "type": "Journal Article", "created": "2022-03-04", "title": "Sediment yields variation and response to the controlling factors in the Wei River Basin, China", "description": "Project Co-ordinators: Dr. Jose Alfonso G\u00f3mez Calero (Instituto de Agricultura Sostenible (IAS-CISC), Dr. Weifeng Xu (Fujian Agriculture and Forest University, FAFU). -- Trabajo desarrollado bajo la financiaci\u00f3n del proyecto \u201cSoil Hydrology research platform underpinning innovation to manage water scarcity in European and Chinese cropping Systems\u201d (773903), coordinado por Jos\u00e9 Alfonso G\u00f3mez Calero, investigador del Instituto de Agricultura Sostenible (IAS). Assessing regional sediment yield variation and their responses to the potential controlling factors are critical to develop specific strategies of soil conservation measures to adapt to future climate change. This study attempted to investigate the spatial\u2013temporal variation of sediment load in the Wei River basin in the midstream of the Yellow River during 1961\u20132015 at 15 hydrological stations. The results indicated that annual sediment load in the past six decades decreased significantly (P < 0.01) with the changing trends of \u22126.43 \u00d7 104, \u22123.86 \u00d7 104, \u22124.6 \u00d7 104 t/a at Xianyang, Zhangjiashan, and Zhuangtou stations, respectively. Annual sediment load exhibited abrupt changes in the mid-1990s, which were largely attributed to the strong effects of soil conservation measures in the study area. The spatial pattern of soil erosion were characterized by high sediment yield in the north with sparse vegetation cover and well-developed gullies, and low sediment yield in the south with flat plain and good vegetation cover in the Wei River basin. The results of the partial least squares-structural equation model (PLS-SEM) showed that vegetation changes and rainfall variability explained 62.3%, 47.3%, and 40.1% of the variation in runoff at Xianyang, Zhuangtou, and Zhangjiashan stations, respectively, whereas 59.4%, 17.6% and 48% of the variation in sediment load were explained by the combining effects of rainfall variability, changes of vegetation and runoff. This study provides a deep insight for understanding the effects of driving forces on sediment yield changes, and can be useful to regional soil conservation planning in the region. The study was funded by the National Science and Technology Basic Resource Investigation Program (2017FY100904), the Chinese National Natural Sciences Foundation (42177323; 42077076), the Horizon 2020 Project Shui which is co-funded by the Chinese MOST (2017YFE0118100) and the European Union Project (773903). Peer reviewed", "keywords": ["Controlling factors", "13. Climate action", "0208 environmental biotechnology", "Sediment yield", "0207 environmental engineering", "Correlation analysis", "Spatial and temporal variation", "02 engineering and technology", "15. Life on land", "6. Clean water", "Wei River Basin"]}, "links": [{"href": "https://doi.org/10.1016/j.catena.2022.106181"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/CATENA", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.catena.2022.106181", "name": "item", "description": "10.1016/j.catena.2022.106181", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.catena.2022.106181"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-06-01T00:00:00Z"}}, {"id": "10.1016/j.compgeo.2019.103200", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-23T16:16:25Z", "type": "Journal Article", "created": "2019-08-18", "title": "Non-orthogonal elastoplastic constitutive model with the critical state for clay", "description": "<p>A non-orthogonal elastoplastic model for clay is proposed by combining the non-orthogonal plastic flow rule with the critical state concept, and the model framework is presented from the perspective of the magnitude and direction of the plastic strain increment. The magnitude is obtained based on the improved elliptical yield function and the plastic volumetric strain dependent hardening parameter. The direction is determined by ap-plying the non-orthogonal plastic flow rule with the Riemann-Liouville fractional derivative to the yield function without the necessity of additional plastic potential function. The presented approach gives rise to a simple model for soil with five parameters. All parameters have clear physical meaning and can be easily identified by triaxial tests. The model performance is shown by analyzing the evolution process of the yield surface, the hardening rule and the plastic flow direction. The capability of the proposed model to capture the mechanical behaviours of clay with different stiffness is also confirmed by predicting test results from the literature.</p>", "keywords": ["Civil and Environmental Engineering", "bepress|Engineering", "0211 other engineering and technologies", "Aerospace Engineering", "bepress|Engineering|Aerospace Engineering", "02 engineering and technology", "Geotechnical Engineering", "01 natural sciences", "engrXiv|Engineering|Aerospace Engineering", "Engineering", "engrXiv|Engineering", "bepress|Engineering|Civil and Environmental Engineering", "engrXiv|Engineering|Civil and Environmental Engineering|Geotechnical Engineering", "engrXiv|Engineering|Civil and Environmental Engineering", "bepress|Engineering|Civil and Environmental Engineering|Geotechnical Engineering", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.compgeo.2019.103200"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Computers%20and%20Geotechnics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.compgeo.2019.103200", "name": "item", "description": "10.1016/j.compgeo.2019.103200", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.compgeo.2019.103200"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-12-01T00:00:00Z"}}, {"id": "10.1016/j.compgeo.2020.103486", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-23T16:16:25Z", "type": "Journal Article", "created": "2021-03-11", "title": "Extension of a basic hypoplastic model for overconsolidated clays", "description": "<p>This paper presents a new rate-dependent hypoplastic constitutive model for overconsolidated clays. The model is developed based on a basic hypoplastic model proposed recently for sand. New density and stiffness factors are introduced to account for history dependence. The Matsuoka-Nakai failure surface is incorporated for the limit stress criterion. With six constitutive parameters, the model is capable of predicting the hardening/softening, shear dilation/contraction, and asymptotic state for overconsolidated clays. Comparison between numerical predictions and experimental results shows this model can properly describe the main features of both reconstituted and undisturbed clays with different overconsolidation ratios.</p>", "keywords": ["Civil and Environmental Engineering", "Engineering", "engrXiv|Engineering", "bepress|Engineering|Civil and Environmental Engineering", "bepress|Engineering", "engrXiv|Engineering|Civil and Environmental Engineering|Geotechnical Engineering", "engrXiv|Engineering|Civil and Environmental Engineering", "0211 other engineering and technologies", "02 engineering and technology", "Geotechnical Engineering", "bepress|Engineering|Civil and Environmental Engineering|Geotechnical Engineering", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.compgeo.2020.103486"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Computers%20and%20Geotechnics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.compgeo.2020.103486", "name": "item", "description": "10.1016/j.compgeo.2020.103486", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.compgeo.2020.103486"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-07-01T00:00:00Z"}}, {"id": "10.1016/j.crm.2021.100375", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-23T16:16:26Z", "type": "Journal Article", "created": "2021-11-09", "title": "Playing the long game: Anticipatory action based on seasonal forecasts", "description": "Acting in advance of floods, drought and cyclones often requires decision-makers to work with weather forecasts. The inherently probabilistic nature of these forecasts can be problematic when deciding whether to act or not. Cost-loss analysis has previously been employed to support forecast based decision-making such as Forecast-based Financing (FbF), providing insight to when an FbF system has \u2018potential economic value\u2019 relative to a no-forecast alternative. One well-known limitation of cost-loss analysis is the difficulty of estimating losses (which vary with hazard magnitude and extent, and with the dynamics of population vulnerability and exposure). A less-explored limitation is ignorance of the temporal dynamics (sequencing) of costs and losses. That is, even if the potential economic value of a forecast system is high, the stochastic nature of the atmosphere and the probabilistic nature of forecasts could conspire over the first few forecasts to increase the expense of using the system over the no-forecast alternative. Thus, for a forecast-based action system to demonstrate value, it often needs to be used over a prolonged length of time. However, knowing exactly how long it must be used to guarantee value is unquantified. This presents difficulties to institutions mandated to protect those at risk, who must justify the use of limited funds to act in advance of a potential, but not definite disaster, whilst planning multi-year strategies. Here we show how to determine the period over which decision makers must use forecasts in order to be confident of achieving \u2018value\u2019 over a no-forecast alternative. Results show that in the context of seasonal forecasting it is plausible that more than a decade may pass before a FbF system will have some certainty of showing value, and that if a particular user requires an almost-certain guarantee that using a forecast will be better than a no-forecast strategy, they must hold out until a near-perfect forecast system is available. The implication: there is potential value in seasonal forecasts, but to exploit it one must be prepared to play the long game.", "keywords": ["Early warning", "Forecast-based financing", "13. Climate action", "Climate adaptation", "Seasonal climate forecasting", "Meteorology. Climatology", "0207 environmental engineering", "Anticipatory action", "Disaster risk reduction", "02 engineering and technology", "QC851-999", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://sro.sussex.ac.uk/id/eprint/103124/1/macleod_2021_CRM.pdf"}, {"href": "https://doi.org/10.1016/j.crm.2021.100375"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Climate%20Risk%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.crm.2021.100375", "name": "item", "description": "10.1016/j.crm.2021.100375", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.crm.2021.100375"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-01T00:00:00Z"}}, {"id": "10.1016/j.compag.2021.106262", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-23T16:16:25Z", "type": "Journal Article", "created": "2021-07-15", "title": "A multifunctional matching algorithm for sample design in agricultural plots", "description": "Collection of accurate and representative data from agricultural fields is required for efficient crop management. Since growers have limited available resources, there is a need for advanced methods to select representative points within a field in order to best satisfy sampling or sensing objectives. The main purpose of this work was to develop a data-driven method for selecting locations across an agricultural field given observations of some covariates at every point in the field. These chosen locations should be representative of the distribution of the covariates in the entire population and represent the spatial variability in the field. They can then be used to sample an unknown target feature whose sampling is expensive and cannot be realistically done at the population scale. An algorithm for determining these optimal sampling locations, namely the multifunctional matching (MFM) criterion, was based on matching of moments (functionals) between sample and population. The selected functionals in this study were standard deviation, mean, and Kendall's tau. An additional algorithm defined the minimal number of observations that could represent the population according to a desired level of accuracy. The MFM was applied to datasets from two agricultural plots: a vineyard and a peach orchard. The data from the plots included measured values of slope, topographic wetness index, normalized difference vegetation index, and apparent soil electrical conductivity. The MFM algorithm selected the number of sampling points according to a representation accuracy of 90% and determined the optimal location of these points. The algorithm was validated against values of vine or tree water status measured as crop water stress index (CWSI). Algorithm performance was then compared to two other sampling methods: the conditioned Latin hypercube sampling (cLHS) model and a uniform random sample with spatial constraints. Comparison among sampling methods was based on measures of similarity between the target variable population distribution and the distribution of the selected sample. MFM represented CWSI distribution better than the cLHS and the uniform random sampling, and the selected locations showed smaller deviations from the mean and standard deviation of the entire population. The MFM functioned better in the vineyard, where spatial variability was larger than in the orchard. In both plots, the spatial pattern of the selected samples captured the spatial variability of CWSI. MFM can be adjusted and applied using other moments/functionals and may be adopted by other disciplines, particularly in cases where small sample sizes are desired.", "keywords": ["2. Zero hunger", "Partially-observed data", "Agricultural sampling", "Representative sampling given covariates", "0207 environmental engineering", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "02 engineering and technology", "15. Life on land", "Two-phase study", "310", "Original Papers", "Spatial autocorrelation"]}, "links": [{"href": "https://doi.org/10.1016/j.compag.2021.106262"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Computers%20and%20Electronics%20in%20Agriculture", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.compag.2021.106262", "name": "item", "description": "10.1016/j.compag.2021.106262", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.compag.2021.106262"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-08-01T00:00:00Z"}}, {"id": "10.1016/j.compgeo.2020.103856", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-23T16:16:25Z", "type": "Journal Article", "created": "2021-03-11", "title": "GPU-accelerated smoothed particle finite element method for large deformation analysis in geomechanics", "description": "<p>Particle finite element method (PFEM) is an effective numerical tool for solving large-deformation problems in geomechanics. By incorporating the node integration technique with strain smoothing into the PFEM, we proposed the smoothed particle ?nite element method (SPFEM). This paper extends the SPFEM to three-dimensional cases and presents a SPFEM executed on graphics processing units (GPUs) to boost the computational efficiency. The detailed parallel computing strategy on GPU is introduced. New computation formulations related to the strain smoothing technique are proposed to save memory space in the GPU parallel computing. Several benchmark problems are solved to validate the proposed approach and to evaluate the GPU acceleration performance. Numerical examples show that with the new formulations not only the memory space can be saved but also the computational efficiency is improved. The computational cost is reduced by 70% for the double-precision GPU parallel computing with the new formulations.</p>", "keywords": ["Civil and Environmental Engineering", "bepress|Engineering", "0211 other engineering and technologies", "Computational Engineering", "02 engineering and technology", "Geotechnical Engineering", "Engineering", "engrXiv|Engineering", "0203 mechanical engineering", "bepress|Engineering|Computational Engineering", "bepress|Engineering|Civil and Environmental Engineering", "engrXiv|Engineering|Civil and Environmental Engineering|Geotechnical Engineering", "engrXiv|Engineering|Computational Engineering", "engrXiv|Engineering|Civil and Environmental Engineering", "bepress|Engineering|Civil and Environmental Engineering|Geotechnical Engineering"]}, "links": [{"href": "https://doi.org/10.1016/j.compgeo.2020.103856"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Computers%20and%20Geotechnics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.compgeo.2020.103856", "name": "item", "description": "10.1016/j.compgeo.2020.103856", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.compgeo.2020.103856"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-01T00:00:00Z"}}, {"id": "10.1016/j.ecoleng.2017.08.010", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:16:29Z", "type": "Journal Article", "created": "2017-11-27", "title": "Sensitivity of the landslide model LAPSUS_LS to vegetation and soil parameters", "description": "Open Access\u0625\u0646 \u062a\u0623\u062b\u064a\u0631 \u0627\u0644\u063a\u0637\u0627\u0621 \u0627\u0644\u0646\u0628\u0627\u062a\u064a \u0639\u0644\u0649 \u0627\u0633\u062a\u0642\u0631\u0627\u0631 \u0627\u0644\u0645\u0646\u062d\u062f\u0631\u0627\u062a \u0645\u0641\u0647\u0648\u0645 \u062c\u064a\u062f\u064b\u0627 \u0639\u0644\u0649 \u0645\u0633\u062a\u0648\u0649 \u0627\u0644\u0645\u0646\u062d\u062f\u0631\u0627\u062a\u060c \u0644\u0643\u0646 \u0627\u0644\u0627\u0631\u062a\u0642\u0627\u0621 \u0625\u0644\u0649 \u0645\u0633\u062a\u0648\u0649 \u0645\u0633\u062a\u062c\u0645\u0639\u0627\u062a \u0627\u0644\u0645\u064a\u0627\u0647 \u0644\u0627 \u064a\u0632\u0627\u0644 \u064a\u0645\u062b\u0644 \u062a\u062d\u062f\u064a\u064b\u0627\u060c \u0648\u064a\u0631\u062c\u0639 \u0630\u0644\u0643 \u062c\u0632\u0626\u064a\u064b\u0627 \u0625\u0644\u0649 \u0646\u0642\u0635 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u0645\u0646\u0627\u0633\u0628\u0629 \u0644\u0644\u062a\u062d\u0642\u0642 \u0645\u0646 \u0627\u0644\u0646\u0645\u0627\u0630\u062c. \u0627\u062e\u062a\u0628\u0631\u0646\u0627 \u0646\u0645\u0648\u0630\u062c \u0627\u0644\u0627\u0646\u0647\u064a\u0627\u0631\u0627\u062a \u0627\u0644\u0623\u0631\u0636\u064a\u0629 \u0627\u0644\u0645\u0627\u062f\u064a\u0629\u060c LAPSUS_LS\u060c \u0627\u0644\u0630\u064a \u064a\u0635\u0645\u0645 \u0627\u0633\u062a\u0642\u0631\u0627\u0631 \u0627\u0644\u0627\u0646\u062d\u062f\u0627\u0631 \u0639\u0644\u0649 \u0645\u0642\u064a\u0627\u0633 \u0645\u0633\u062a\u062c\u0645\u0639\u0627\u062a \u0627\u0644\u0645\u064a\u0627\u0647. \u062a\u062c\u0645\u0639 LAPSUS_LS \u0628\u064a\u0646 \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0627\u0644\u0647\u064a\u062f\u0631\u0648\u0644\u0648\u062c\u064a \u0648\u0646\u0645\u0648\u0630\u062c \u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u062a\u0648\u0627\u0632\u0646 \u0627\u0644\u062d\u062f\u064a\u060c \u0648\u062a\u062d\u0633\u0628 \u0639\u0627\u0645\u0644 \u0633\u0644\u0627\u0645\u0629 \u0627\u0644\u062e\u0644\u0627\u064a\u0627 \u0627\u0644\u0641\u0631\u062f\u064a\u0629 \u0628\u0646\u0627\u0621\u064b \u0639\u0644\u0649 \u062e\u0635\u0627\u0626\u0635\u0647\u0627 \u0627\u0644\u0647\u064a\u062f\u0631\u0648\u0644\u0648\u062c\u064a\u0629 \u0648\u0627\u0644\u062c\u064a\u0648\u0645\u0648\u0631\u0641\u0648\u0644\u0648\u062c\u064a\u0629. \u0627\u062e\u062a\u0628\u0631\u0646\u0627 \u0646\u0648\u0639\u064a\u0646 \u0645\u0646 \u0627\u0644\u0646\u0628\u0627\u062a\u0627\u062a \u0639\u0644\u0649 \u0627\u0633\u062a\u0642\u0631\u0627\u0631 \u0627\u0644\u0645\u0646\u062d\u062f\u0631\u0627\u062a: (1) \u0632\u0631\u0627\u0639\u0629 \u0627\u0644\u0642\u0647\u0648\u0629 \u0627\u0644\u0623\u062d\u0627\u062f\u064a\u0629 (\u0627\u0644\u0642\u0647\u0648\u0629 \u0627\u0644\u0639\u0631\u0628\u064a\u0629) \u0648 (2) \u0632\u0631\u0627\u0639\u0629 \u0645\u062e\u062a\u0644\u0637\u0629 \u0644\u0644\u0628\u0646 \u0648\u062a\u062c\u0630\u064a\u0631 \u0639\u0645\u064a\u0642 \u0644\u0623\u0634\u062c\u0627\u0631 \u0627\u0644\u0625\u0631\u064a\u062b\u0631\u064a\u0646\u0627 (\u0627\u0644\u0625\u0631\u064a\u062b\u0631\u064a\u0646\u0627 \u0628\u0648\u0628\u064a\u062c\u064a\u0627\u0646\u0627). \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u062a\u0631\u0628\u0629 \u0648\u0627\u0644\u062c\u0630\u0631 \u0645\u0646 \u0643\u0648\u0633\u062a\u0627\u0631\u064a\u0643\u0627\u060c \u0623\u062c\u0631\u064a\u0646\u0627 \u0639\u0645\u0644\u064a\u0627\u062a \u0645\u062d\u0627\u0643\u0627\u0629 \u0644\u0627\u062e\u062a\u0628\u0627\u0631 \u0627\u0633\u062a\u062c\u0627\u0628\u0629 LAPSUS_LS \u0644\u062a\u0642\u0648\u064a\u0629 \u0627\u0644\u062c\u0630\u0631 \u0648\u0643\u062b\u0627\u0641\u0629 \u0643\u062a\u0644\u0629 \u0627\u0644\u062a\u0631\u0628\u0629 \u0648\u0627\u0644\u0627\u0646\u062a\u0642\u0627\u0644 \u0648\u0632\u0627\u0648\u064a\u0629 \u0627\u0644\u0627\u062d\u062a\u0643\u0627\u0643 \u0627\u0644\u062f\u0627\u062e\u0644\u064a \u0648\u0639\u0645\u0642 \u0645\u0633\u062a\u0648\u0649 \u0627\u0644\u0642\u0635. \u0639\u0644\u0627\u0648\u0629 \u0639\u0644\u0649 \u0630\u0644\u0643\u060c \u0642\u0645\u0646\u0627 \u0628\u062a\u0639\u062f\u064a\u0644 \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0644\u064a\u0634\u0645\u0644 \u062a\u0623\u062b\u064a\u0631 \u0627\u0644\u0631\u0633\u0648\u0645 \u0627\u0644\u0625\u0636\u0627\u0641\u064a\u0629 \u0644\u0644\u0643\u062a\u0644\u0629 \u0627\u0644\u062d\u064a\u0648\u064a\u0629 \u0641\u064a \u0627\u0644\u062d\u0633\u0627\u0628\u0627\u062a. \u062a\u0638\u0647\u0631 \u0627\u0644\u0646\u062a\u0627\u0626\u062c \u0623\u0646 LAPSUS_LS \u0643\u0627\u0646 \u0623\u0643\u062b\u0631 \u062d\u0633\u0627\u0633\u064a\u0629 \u0644\u0644\u062a\u063a\u064a\u0631\u0627\u062a \u0641\u064a \u0627\u0644\u062a\u0645\u0627\u0633\u0643 \u0627\u0644\u0625\u0636\u0627\u0641\u064a \u0645\u0646 \u0627\u0644\u062c\u0630\u0648\u0631. \u0639\u0646\u062f\u0645\u0627 \u062a\u0645 \u062a\u062b\u0628\u064a\u062a \u0639\u0645\u0642 \u0645\u0633\u062a\u0648\u0649 \u0627\u0644\u0642\u0635 \u0639\u0646\u062f 1.0 \u0645\u062a\u0631\u060c \u0644\u0645 \u062a\u0643\u0646 \u0627\u0644\u0645\u0646\u062d\u062f\u0631\u0627\u062a \u063a\u064a\u0631 \u0645\u0633\u062a\u0642\u0631\u0629. \u0648\u0645\u0639 \u0630\u0644\u0643\u060c \u0639\u0646\u062f\u0645\u0627 \u062a\u0645 \u062a\u062b\u0628\u064a\u062a \u0645\u0633\u062a\u0648\u0649 \u0627\u0644\u0642\u0635 \u0639\u0644\u0649 1.5 \u0645\u062a\u0631\u060c \u0627\u0633\u062a\u0642\u0631\u062a \u0627\u0644\u0632\u0631\u0627\u0639\u0629 \u0627\u0644\u0645\u062e\u062a\u0644\u0637\u0629 \u0644\u0644\u0628\u0646 \u0648\u0627\u0644\u0623\u0634\u062c\u0627\u0631 \u0639\u0644\u0649 \u0627\u0644\u0645\u0646\u062d\u062f\u0631\u0627\u062a\u060c \u0644\u0643\u0646 \u0627\u0644\u0632\u0631\u0627\u0639\u0629 \u0627\u0644\u0623\u062d\u0627\u062f\u064a\u0629 \u0644\u0644\u0628\u0646 \u0643\u0627\u0646\u062a \u063a\u064a\u0631 \u0645\u0633\u062a\u0642\u0631\u0629 \u0644\u0644\u063a\u0627\u064a\u0629\u060c \u0644\u0623\u0646 \u062a\u0642\u0648\u064a\u0629 \u0627\u0644\u062c\u0630\u0631 \u0643\u0627\u0646\u062a \u0645\u0646\u062e\u0641\u0636\u0629 \u0639\u0644\u0649 \u0639\u0645\u0642 1.5 \u0645\u062a\u0631. \u0643\u0627\u0646 \u0644\u0646\u0642\u0644 \u0627\u0644\u062a\u0631\u0628\u0629 \u062a\u0623\u062b\u064a\u0631 \u0645\u062d\u062f\u0648\u062f \u0639\u0644\u0649 \u0627\u0644\u0646\u062a\u0627\u0626\u062c \u0645\u0642\u0627\u0631\u0646\u0629 \u0628\u0627\u0644\u0643\u062b\u0627\u0641\u0629 \u0627\u0644\u0633\u0627\u0626\u0628\u0629 \u0648\u0632\u0627\u0648\u064a\u0629 \u0627\u0644\u0627\u062d\u062a\u0643\u0627\u0643 \u0627\u0644\u062f\u0627\u062e\u0644\u064a. \u0644\u0645 \u064a\u0643\u0646 \u0644\u0644\u0631\u0633\u0648\u0645 \u0627\u0644\u0625\u0636\u0627\u0641\u064a\u0629 \u0644\u0644\u0643\u062a\u0644\u0629 \u0627\u0644\u062d\u064a\u0648\u064a\u0629 \u0623\u064a \u062a\u0623\u062b\u064a\u0631 \u0643\u0628\u064a\u0631 \u0639\u0644\u0649 \u0639\u0645\u0644\u064a\u0627\u062a \u0627\u0644\u0645\u062d\u0627\u0643\u0627\u0629. \u0641\u064a \u0627\u0644\u062e\u062a\u0627\u0645\u060c \u0627\u0633\u062a\u062c\u0627\u0628\u062a LAPSUS_LS \u0628\u0634\u0643\u0644 \u062c\u064a\u062f \u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0645\u062f\u062e\u0644\u0627\u062a \u0627\u0644\u062a\u0631\u0628\u0629 \u0648\u0627\u0644\u063a\u0637\u0627\u0621 \u0627\u0644\u0646\u0628\u0627\u062a\u064a\u060c \u0648\u0647\u064a \u0645\u0631\u0634\u062d \u0645\u0646\u0627\u0633\u0628 \u0644\u0646\u0645\u0630\u062c\u0629 \u0627\u0633\u062a\u0642\u0631\u0627\u0631 \u0627\u0644\u0645\u0646\u062d\u062f\u0631\u0627\u062a \u0627\u0644\u0646\u0628\u0627\u062a\u064a\u0629 \u0639\u0644\u0649 \u0645\u0633\u062a\u0648\u0649 \u0645\u0633\u062a\u062c\u0645\u0639\u0627\u062a \u0627\u0644\u0645\u064a\u0627\u0647.", "keywords": ["Cohesion (chemistry)", "http://aims.fao.org/aos/agrovoc/c_27199", "http://aims.fao.org/aos/agrovoc/c_4915", "F08 - Syst\u00e8mes et modes de culture", "[SDV]Life Sciences [q-bio]", "culture associ\u00e9e", "http://aims.fao.org/aos/agrovoc/c_1920", "FOS: Mechanical engineering", "Organic chemistry", "Plant Science", "02 engineering and technology", "Erythrina poeppigiana", "01 natural sciences", "630", "Mechanical Effects of Plant Roots on Slope Stability", "stabilisation du sol", "Agricultural and Biological Sciences", "Soil", "monoculture", "Engineering", "enracinement", "couverture du sol", "m\u00e9thode statistique", "Pathology", "Monoculture", "http://aims.fao.org/aos/agrovoc/c_1721", "http://aims.fao.org/aos/agrovoc/c_2018", "http://aims.fao.org/aos/agrovoc/c_24199", "http://aims.fao.org/aos/agrovoc/c_35927", "U10 - Informatique", " math\u00e9matiques et statistiques", "Susceptibility Mapping", "Life Sciences", "Hydrology (agriculture)", "Geology", "Coffea arabica", "[SDV] Life Sciences [q-bio]", "Chemistry", "Landslide", "Plant Responses to Flooding Stress", "Slope Stability", "Physical Sciences", "http://aims.fao.org/aos/agrovoc/c_6649", "Medicine", "Vegetation (pathology)", "http://aims.fao.org/aos/agrovoc/c_7377", "http://aims.fao.org/aos/agrovoc/c_7171", "0207 environmental engineering", "Soil Science", "Management", " Monitoring", " Policy and Law", "Transmissivity", "Environmental science", "mod\u00e8le math\u00e9matique", "FOS: Mathematics", "http://aims.fao.org/aos/agrovoc/c_12676", "http://aims.fao.org/aos/agrovoc/c_37897", "Landslide Hazards and Risk Assessment", "pratique culturale", "Biology", "0105 earth and related environmental sciences", "P36 - \u00c9rosion", " conservation et r\u00e9cup\u00e9ration des sols", "Soil science", "montagne", "Mechanical Engineering", "Slope stability", "Modeling", "Botany", "FOS: Earth and related environmental sciences", "15. Life on land", "Roots", "Bulk density", "Agronomy", "Geotechnical engineering", "13. Climate action", "Environmental Science", "Cohesion", "Mathematics"]}, "links": [{"href": "https://doi.org/10.1016/j.ecoleng.2017.08.010"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Ecological%20Engineering", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.ecoleng.2017.08.010", "name": "item", "description": "10.1016/j.ecoleng.2017.08.010", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.ecoleng.2017.08.010"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-12-01T00:00:00Z"}}, {"id": "10.1016/j.ejrh.2021.100882", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:16:33Z", "type": "Journal Article", "created": "2021-07-30", "title": "Surface water and groundwater interaction at long-term exploited riverbank filtration site based on groundwater flow modelling (Mosina-Krajkowo, Poland)", "description": "Study region: Poland, Warta River catchment. Study focus: The study aimed to explain the reasons for spatial variability in chloride concentrations at the Mosina-Krajkowo riverbank filtration (RBF) site located along the river. This variability is attributed to RBF\u2019s different intensity along the river sections, related, among others, to clogging development. The RBF effectiveness was studied using groundwater flow modelling by: examining the water balance in zones established on hydrogeological setting and chloride concentrations; travel time of the bankfiltrate investigation; RBF parametrisation (i.e. infiltration per unit area and specific infiltration per unit of riverbank). New Hydrological Insights for the Region: The study identifies zones of the most favourable RBF conditions and establishes the variability causes. The overall share bankfiltrate was found at 75.8 %. Its spatial variation ranged widely from 41.1\u201389.3%, confirming the usefulness of the RBF performance sectional analysis in managing this type of site. The highest proportion of surface water (>80 %) occurred along the straight river section, where the riverbed was built by fine and medium sands (preventing penetration of organic suspension into the aquifer). In contrast, the lowest values (<42 %) occurred in the meander zone (with the most favourable RBF conditions at the beginning of site operation), where deep erosion reached coarse-grained sediments in the river bottom, followed by the development of clogging processes and a decrease in the RBF efficiency with time.", "keywords": ["Physical geography", "QE1-996.5", "Riverbed clogging", "Numerical modelling", "0208 environmental biotechnology", "0207 environmental engineering", "Geology", "Modflow", "02 engineering and technology", "Riverbank filtration", "6. Clean water", "Modpath", "GB3-5030"]}, "links": [{"href": "https://doi.org/10.1016/j.ejrh.2021.100882"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Hydrology%3A%20Regional%20Studies", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.ejrh.2021.100882", "name": "item", "description": "10.1016/j.ejrh.2021.100882", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.ejrh.2021.100882"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-10-01T00:00:00Z"}}, {"id": "10.1016/j.ejrh.2021.100903", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:16:33Z", "type": "Journal Article", "created": "2021-09-03", "title": "Evaluation of pedotransfer functions for predicting soil hydraulic properties: A voyage from regional to field scales across Europe", "description": "Study region: Europe. A total of 660, 522, and 4940 soil samples belonging to GRIZZLY, HYPRES, and EU-HYDI databases, respectively, were used for parametric evaluation. Study focus: The soil water retention and hydraulic conductivity functions are crucial input information for land surface models. Determining these functions by using direct methods is hampered by excessive time and unaffordable costs required for field activities and laboratory analyses. Pedotransfer functions (PTFs) are widely-used indirect techniques enabling soil hydraulic properties to be predicted by using easily-retrievable soil information. In a parametric evaluation, the predictive capability of PTFs is examined by comparing measured and estimated soil water retention parameters and saturated hydraulic conductivity. Yet information about the performance of PTFs for specific modeling applications is mandatory to evaluate PTF effectiveness in greater depth. This approach is commonly defined as functional evaluation. New hydrological insights for the region: The best performing four PTFs selected in the parametric evaluations are tested under two functional evaluations. The first encompasses a spatial interpolation with a geostatistical technique, whereas the second employs Hydrus-1D to simulate the water balance components along an experimental transect. Our results reinforce and integrate the insights of previous studies about the use of a PTF, and highlight the ability, or inability, of this technique to adequately reproduce the observed spatial variability of soil hydraulic properties and simulated water fluxes.", "keywords": ["S1 Agriculture (General) / mez\u0151gazdas\u00e1g \u00e1ltal\u00e1ban", "Physical geography", "QE1-996.5", "Water retention function", "Hydrus-1D", "saturated hydraulic conductivity", "0208 environmental biotechnology", "0207 environmental engineering", "Geology", "02 engineering and technology", "15. Life on land", "Semi-variogram", "S590 Soill / Talajtan", "Saturated hydraulic conductivity", "6. Clean water", "GB3-5030", "Kriging", "semi-variogram", "functional evaluation", "water retention function", "Functional evaluation", "kriging", "water retention function", " saturated hydraulic conductivity", " semi-variogram", " kriging", " functional evaluation", " Hydrus-1D"]}, "links": [{"href": "https://doi.org/10.1016/j.ejrh.2021.100903"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Hydrology%3A%20Regional%20Studies", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.ejrh.2021.100903", "name": "item", "description": "10.1016/j.ejrh.2021.100903", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.ejrh.2021.100903"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-10-01T00:00:00Z"}}, {"id": "10.1016/j.energy.2020.119018", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:16:35Z", "type": "Journal Article", "created": "2020-10-07", "title": "Economics of seasonal photovoltaic soiling and cleaning optimization scenarios", "description": "Abstract   The present study analyzes the soiling losses of a 1\u00a0MW photovoltaic system installed in the South of Spain. Both the Levelized Cost of Energy and the Net Present Value are used to compare the convenience of different mitigation strategies. It is found that also photovoltaic installations located in moderate regions, where the yearly soiling losses are limited to 3%, can suffer of a severe seasonal soiling, with power drops higher than 20%. In these conditions, an optimized cleaning schedule can be considerably beneficial from an economic perspective. For the given site, an optimal cleaning schedule generates a raise in profits up to 3.6% if one yearly cleaning is performed within a \u00b131-day window in summer. The convenience of one and multiple cleaning strategies is investigated by considering variable electricity prices and cleaning costs. In addition, the impact of the module efficiency on the cleaning strategy is analyzed. It is found that an optimized cleaning schedule can enhance the benefits of installing high efficiency modules, as it increases the amount of energy recovered through each cleaning and, therefore, the profits.", "keywords": ["General Energy", "13. Climate action", "Photovoltaic system", "11. Sustainability", "Environmental engineering", "0211 other engineering and technologies", "0202 electrical engineering", " electronic engineering", " information engineering", "Environmental science", "02 engineering and technology", "Pollution", "7. Clean energy", "cleaning; economics; performance ratio; photovoltaic; soiling"]}, "links": [{"href": "https://iris.uniroma1.it/bitstream/11573/1625660/5/Micheli_Economics_Post-print_2021.pdf"}, {"href": "https://doi.org/10.1016/j.energy.2020.119018"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Energy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.energy.2020.119018", "name": "item", "description": "10.1016/j.energy.2020.119018", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.energy.2020.119018"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-01T00:00:00Z"}}, {"id": "10.1016/j.envsoft.2021.105095", "type": "Feature", "geometry": null, "properties": {"license": "Closed Access", "updated": "2026-06-23T16:16:40Z", "type": "Journal Article", "created": "2021-06-03", "title": "Volume and uncertainty estimates of on-farm reservoirs using surface reflectance and LiDAR data", "description": "Abstract   Accurate estimates of water volumes are crucial for water management. This study applies an automated methodology to detect small-scale on-farm dams and develops a novel application of Bayesian inference to jointly simulate volumes and uncertainties. A linear relationship was assumed between flooded pixel area images derived from LiDAR datasets and water index rasters derived from Sentinel 2 images. Using a Markov chain Monte Carlo (MCMC) method led to accurate estimates of water elevations and reservoir volumes, with a systematic error of about 2.5% and 10% of the maximum capacity during the study period in Keepit dam and Pamamaroo lake, respectively. Additionally, the method quantifies uncertainties of volumes. The presence of woody vegetation growing at the reservoir walls leads to a deterioration of estimates. This methodology may be used as an auditing tool in water governance schemes or to gain knowledge on water losses at the field scale.", "keywords": ["13. Climate action", "0207 environmental engineering", "02 engineering and technology", "01 natural sciences", "6. Clean water", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.envsoft.2021.105095"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Modelling%20%26amp%3B%20Software", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.envsoft.2021.105095", "name": "item", "description": "10.1016/j.envsoft.2021.105095", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.envsoft.2021.105095"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-09-01T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Environmental+Engineering&offset=50&f=json", "hreflang": "en-US"}, {"rel": "alternate", "type": "text/html", "title": "This document as HTML", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Environmental+Engineering&offset=50&f=html", "hreflang": "en-US"}, {"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main", "hreflang": "en-US"}, {"type": "application/geo+json", "rel": "prev", "title": "items (prev)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Environmental+Engineering&offset=0", "hreflang": "en-US"}, {"rel": "next", "type": "application/geo+json", "title": "items (next)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Environmental+Engineering&offset=100", "hreflang": "en-US"}], "numberMatched": 503, "numberReturned": 50, "distributedFeatures": [], "timeStamp": "2026-06-23T22:09:58.424526Z"}