Despite advances in the data, models, and methods underpinning environmental life cycle assessment (LCA), it remains challenging for practitioners to effectively communicate and interpret results. These shortcomings can bias decisions and hinder public acceptance for planning supported by LCA. This paper introduces a method for interpreting LCA results, the Argumentation Corrected Context Weighting-LCA (ArgCW-LCA), to overcome these barriers. ArgCW-LCA incorporates stakeholder preferences, corrects unjustified disagreements, and allows for the inclusion of non-environmental impacts (e.g., economic, social, etc.) using a novel weighting scheme and the application of multi-criteria decision analysis to provide transparent and context-relevant decision support. We illustrate the utility of the method through two case studies: a hypothetical decision regarding energy production and a real-world decision regarding polyphenol extraction technologies. In each case, we surveyed a relevant stakeholder group on their environmental views and fed their responses into the model to provide decision support that is relevant to their perspective. We found marked differences between results using ArgCW-LCA and results from a conventional analysis using an equal-weighting scheme, as well as differentiation between stakeholder preference groups, indicating the importance of applying the perspective of the particular stakeholder group. For instance, there was a rank reversal of alternatives when comparing between an equal weighting approach for all environmental and economic dimensions and ArgCW-LCA. ArgCW-LCA provides opportunity for both public and private sector incorporation of LCA, such as in developing enlightened stakeholder value measures. This is achieved through enabling the LCA practition to provide public and private actors\uffe2\uff80\uff99 interpreted LCA results in a manner that incorporates educated stakeholder perspectives. Furthermore, the method encourages stakeholder multiplicity through participatory design and policymaking that can enhance public backing of actions that can make society more sustainable.
", "keywords": ["[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]", "decision-support", "Environmental management", "330", "[SDE.IE]Environmental Sciences/Environmental Engineering", "02 engineering and technology", "/dk/atira/pure/sustainabledevelopmentgoals/responsible_consumption_and_production; name=SDG 12 - Responsible Consumption and Production", "multi-criteria decision analysis", "Decision-support", "01 natural sciences", "7. Clean energy", "[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]", "12. Responsible consumption", "environmental management", "Life cycle assessment", "/dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energy; name=SDG 7 - Affordable and Clean Energy", "Analyse cycle de vie", "life cycle assessment", "Multi-criteria decision analysis", "0202 electrical engineering", " electronic engineering", " information engineering", "participatory design", "[SDE.IE] Environmental Sciences/Environmental Engineering", "10. No inequality", "Participatory design", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2071-1050/12/6/2170/pdf"}, {"href": "https://www.mdpi.com/2071-1050/12/6/2170/pdf"}, {"href": "https://doi.org/10.3390/su12062170"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Sustainability", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/su12062170", "name": "item", "description": "10.3390/su12062170", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/su12062170"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-03-11T00:00:00Z"}}, {"id": "10.3390/atmos8050084", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:20:49Z", "type": "Journal Article", "created": "2017-05-05", "title": "Emissions and Possible Environmental Implication of Engineered Nanomaterials (ENMs) in the Atmosphere", "description": "In spite of the still increasing number of engineered nanomaterial (ENM) applications, large knowledge gaps exist with respect to their environmental fate, especially after release into air. This review aims to summarize the current knowledge of emissions and behavior of airborne engineered nanomaterials. The whole ENM lifecycle is considered from the perspective of possible releases into the atmosphere. Although in general, emissions during use phase and end-of-life seem to play a minor role compared to entry into soil and water, accidental and continuous emissions into air can occur especially during production and some use cases such as spray application. Implications of ENMs on the atmosphere as e.g., photo-catalytic properties or the production of reactive oxygen species are reviewed as well as the influence of physical processes and chemical reactions on the ENMs. Experimental studies and different modeling approaches regarding atmospheric transformation and removal are summarized. Some information exists especially for ENMs, but many issues can only be addressed by using data from ultrafine particles as a substitute and research on the specific implications of ENMs in the atmosphere is still needed.
", "keywords": ["Aerosols", "RELEASE", "ULTRAFINE PARTICLES", "Engineered nanomaterials", "660", "[SDE.IE]Environmental Sciences/Environmental Engineering", "Atmospheric transport", "Urbanisation", "ENMs", "ENMS", "Physik (inkl. Astronomie)", "01 natural sciences", "Ultrafine particles", "AEROSOLS", "13. Climate action", "Release", "ENGINEERED NANOMATERIALS", "8. Economic growth", "ATMOSPHERIC TRANSPORT", "TRANSFORMATION PROCESSES", "[SDE.IE] Environmental Sciences/Environmental Engineering", "Transformation processes", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://www.mdpi.com/2073-4433/8/5/84/pdf"}, {"href": "https://doi.org/10.3390/atmos8050084"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Atmosphere", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/atmos8050084", "name": "item", "description": "10.3390/atmos8050084", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/atmos8050084"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-05-05T00:00:00Z"}}, {"id": "10.3390/rs14010167", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:21:02Z", "type": "Journal Article", "created": "2022-01-10", "title": "Disaggregation of SMAP Soil Moisture at 20 m Resolution: Validation and Sub-Field Scale Analysis", "description": "This paper introduces a modified version of the DisPATCh (Disaggregation based on Physical And Theoretical scale Change) algorithm to disaggregate an SMAP surface soil moisture (SSM) product at a 20 m spatial resolution, through the use of sharpened Sentinel-3 land surface temperature (LST) data. Using sharpened LST as a high resolution proxy of SSM is a novel approach that needs to be validated and can be employed in a variety of applications that currently lack in a product with a similar high spatio-temporal resolution. The proposed high resolution SSM product was validated against available in situ data for two different fields, and it was also compared with two coarser DisPATCh products produced, disaggregating SMAP through the use of an LST at 1 km from Sentinel-3 and MODIS. From the correlation between in situ data and disaggregated SSM products, a general improvement was found in terms of Pearson\uffe2\uff80\uff99s correlation coefficient (R) for the proposed high resolution product with respect to the two products at 1 km. For the first field analyzed, R was equal to 0.47 when considering the 20 m product, an improvement compared to the 0.28 and 0.39 for the 1 km products. The improvement was especially noticeable during the summer season, in which it was only possible to successfully capture field-specific irrigation practices at the 20 m resolution. For the second field, R was 0.31 for the 20 m product, also an improvement compared to the 0.21 and 0.23 for the 1 km product. Additionally, the new product was able to depict SSM spatial variability at a sub-field scale and a validation analysis is also proposed at this scale. The main advantage of the proposed product is its very high spatio-temporal resolution, which opens up new opportunities to apply remotely sensed SSM data in disciplines that require fine spatial scales, such as agriculture and water management.
", "keywords": ["validation", "550", "[SDE.IE]Environmental Sciences/Environmental Engineering", "Science", "Q", "SMAP", "04 agricultural and veterinary sciences", "surface soil moisture", "333", "6. Clean water", "631", "surface soil moisture; disaggregation; DISPATCH; SMAP; validation", "DISPATCH", "disaggregation", "[SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology", "0401 agriculture", " forestry", " and fisheries", "[SDE.IE] Environmental Sciences/Environmental Engineering", "[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/14/1/167/pdf"}, {"href": "https://www.mdpi.com/2072-4292/14/1/167/pdf"}, {"href": "https://doi.org/10.3390/rs14010167"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/rs14010167", "name": "item", "description": "10.3390/rs14010167", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs14010167"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-12-31T00:00:00Z"}}, {"id": "10.3390/polym12071530", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:20:59Z", "type": "Journal Article", "created": "2020-07-10", "title": "Eco-Conversion of Two Winery Lignocellulosic Wastes into Fillers for Biocomposites: Vine Shoots and Wine Pomaces", "description": "Two winery residues, namely vine shoots (ViSh) and wine pomace (WiPo), were up-cycled as fillers in PHBV-based biocomposites. Answering a biorefinery approach, the impact of a preliminary polyphenols extraction step using an acetone/water mixture on the reinforcing effect of fillers was assessed. Biocomposites (filler content up to 20 wt%) were prepared by melt-mixing and compared in terms of final performance (thermal, mechanical and barrier). It was shown that the reinforcing effect was slightly better in the case of vine shoots, while it was not significantly affected by the pre-treatment, demonstrating that these two winery residues could be perfectly used as fillers in composite materials even after an extraction process to maximize their potential of valorization.
", "keywords": ["biocomposite", "660", "[SDE.IE]Environmental Sciences/Environmental Engineering", "02 engineering and technology", "mechanical properties", "15. Life on land", "vine shoot", "01 natural sciences", "Article", "extraction process", "Biocomposite; vine shoot; wine pomace; extraction process; mechanical properties", "[SDE.IE] Environmental Sciences/Environmental Engineering", "wine pomace", "0210 nano-technology", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2073-4360/12/7/1530/pdf"}, {"href": "https://cris.unibo.it/bitstream/11585/765607/4/45-2020%20Polymers-red%20grapes%20composites.pdf"}, {"href": "https://www.mdpi.com/2073-4360/12/7/1530/pdf"}, {"href": "https://doi.org/10.3390/polym12071530"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Polymers", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/polym12071530", "name": "item", "description": "10.3390/polym12071530", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/polym12071530"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-07-10T00:00:00Z"}}, {"id": "2790511636", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:25:37Z", "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/2790511636"}, {"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": "2790511636", "name": "item", "description": "2790511636", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2790511636"}, {"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": "10754/627861", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:24:42Z", "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/10754/627861"}, {"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": "10754/627861", "name": "item", "description": "10754/627861", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10754/627861"}, {"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": "1886144451", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:25:04Z", "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/1886144451"}, {"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": "1886144451", "name": "item", "description": "1886144451", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1886144451"}, {"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": "2768342228", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:25:37Z", "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/2768342228"}, {"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": "2768342228", "name": "item", "description": "2768342228", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2768342228"}, {"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": "2809041101", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:25:39Z", "type": "Journal Article", "created": "2018-06-18", "title": "Estimating the water budget components of irrigated crops: Combining the FAO-56 dual crop coefficient with surface temperature and vegetation index data", "description": "Abstract The FAO-56 dual crop coefficient (FAO-2Kc) model has been extensively used at the field scale to estimate the crop water requirements by means of the simulated evapotranspiration (ET) and its two components evaporation (E) and transpiration (T). Given that the main limitation of FAO-2Kc for operational irrigation management over large areas is the unavailability (over most irrigated areas) of irrigation data, this study investigates the feasibility 1) to constrain the FAO-2Kc ET from LST and VI data, 2) to retrieve irrigation amounts and dates from LST and VI data and 3) to estimate the root-zone soil moisture (RZSM) at the daily scale. In practice, the vegetation and soil temperatures retrieved from LST/VI data are used to estimate the FAO-2Kc vegetation stress coefficient (Ks) and soil evaporation reduction coefficient (Kr), respectively. The modeling and remote sensing combined approach is tested over a wheat crop field in central Morocco, and results are evaluated in terms of ET, irrigation and RZSM estimates. ET is estimated with a RMSE of 0.68\u202fmm day-1 compared to 0.84\u202fmm day-1 for the standard (without using LST data) FAO-2Kc based on tabulated values for the parameters. The total irrigation depth (67\u202fmm) is correctly estimated and is very close to the actual effective irrigation (69.8\u202fmm) applied by the farmer. Daily RZSM is estimated with an R2 value of 0.68 (0.42) and a RMSE value of 0.034 (0.061) m3 m-3 by forcing FAO-2Kc using the retrieved irrigation (from LST-derived estimates and precipitation only). Since spaceborne LST data are currently not available at both high-spatial and high-temporal resolution, a sensitivity analysis is finally undertaken to assess the potential and applicability of the proposed methodology to temporally-sparse thermal data.", "keywords": ["FAO-56", "0106 biological sciences", "2. Zero hunger", "550", "Evapotranspiration", "[SDE.IE]Environmental Sciences/Environmental Engineering", "Root-zone soil moisture", "[SDV.SA.STA] Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of agriculture", "Root-Zone Soil Moisture", "Surface Temperature", "[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation", "01 natural sciences", "6. Clean water", "Surface temperature", "[SDV.SA.STA]Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of agriculture", "[INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation", "[SDE.IE] Environmental Sciences/Environmental Engineering", "Irrigation", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/2809041101"}, {"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": "2809041101", "name": "item", "description": "2809041101", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2809041101"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-09-01T00:00:00Z"}}, {"id": "3091208561", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:25:55Z", "type": "Journal Article", "created": "2020-10-05", "title": "Performance of the HYDRUS-1D model for water balance components assessment of irrigated winter wheat under different water managements in semi-arid region of Morocco", "description": "Abstract The main goal of this research was to evaluate the potential of the HYDRUS-1D numerical model for estimating the soil moisture (\u03b8) at different depths, actual crop evapotranspiration (ETa) and its components (crop transpiration, Ta and soil evaporation, Ea) as well as the deep percolation (DP) of irrigated winter wheat under different water managements in the semi-arid region of Tensift-basin (central Morocco). The HYDRUS-1D simulations were performed at daily time step during the two growing seasons: 2002/2003 and 2015/2016. The model was firstly calibrated based on one field \u201cdenoted F1\u201d data during the 2002/2003 cropping season by using the Levenberg-Marquardt method implemented in HYDRUS-1D model for optimizing various parameters of Van Genuchten equation that provide the minimum difference between measured and simulated soil moisture at four layers of soil (0\u20135, 5\u201310, 10\u201320, 20\u201330, 30\u201350\u00a0cm). Afterwards, the model validation was done based on the data from four fields of wheat: two fields \u201cdenoted F2 and F3\u201d during the 2002/2003 and two other fields \u201cdenoted F4 and F5\u201d during the 2015/2016 cropping season. All fields were irrigated with flooding system except the field F5 where drip irrigation was undertaken. In-situ measurements of \u03b8 was carried out using Time Domain Reflectometry (TDR) and gravimetric method ETa was measured by the Eddy Covariance system Ta and Ea were monitored using a lysimeter in F5 field. The results showed that the HYDRUS-1D model simulates the \u03b8, ETa, Ta and Ea reasonably well. Additionally, the evaluation of the irrigation system on DP losses was investigated by comparing the simulation results over flood (F4) and drip (F5) irrigated fields. It was found that about 56% and 20% of seasonal supplied water were lost by DP in F4 and F5 sites, respectively. Such unexpected high amount of DP taking place in F5 field is due to the improper use of the drip irrigation system.", "keywords": ["690", "0106 biological sciences", "2. Zero hunger", "550", "Evapotranspiration", "[SDE.IE]Environmental Sciences/Environmental Engineering", "0207 environmental engineering", "[SDV.SA.STA] Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of agriculture", "Eddy covariance", "02 engineering and technology", "15. Life on land", "deep percolation", "01 natural sciences", "6. Clean water", "winter wheat", "Winter wheat", "[SDV.SA.STA]Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of agriculture", "Deep percolation", "[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", "Eddy Covariance", "HYDRUS-1D"]}, "links": [{"href": "https://doi.org/3091208561"}, {"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": "3091208561", "name": "item", "description": "3091208561", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3091208561"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-02-01T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=%5BSDE.IE%5DEnvironmental+Sciences%2FEnvironmental+Engineering&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=%5BSDE.IE%5DEnvironmental+Sciences%2FEnvironmental+Engineering&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": "first", "title": "items (first)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=%5BSDE.IE%5DEnvironmental+Sciences%2FEnvironmental+Engineering&", "hreflang": "en-US"}, {"rel": "last", "type": "application/geo+json", "title": "items (last)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=%5BSDE.IE%5DEnvironmental+Sciences%2FEnvironmental+Engineering&offset=23", "hreflang": "en-US"}], "numberMatched": 23, "numberReturned": 23, "distributedFeatures": [], "timeStamp": "2026-05-26T07:08:02.890651Z"}