{"type": "FeatureCollection", "features": [{"id": "10.1002/ecy.2199", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:14:03Z", "type": "Journal Article", "created": "2018-02-27", "title": "Temperature and aridity regulate spatial variability of soil multifunctionality in drylands across the globe", "description": "Abstract

The relationship between the spatial variability of soil multifunctionality (i.e., the capacity of soils to conduct multiple functions; SVM) and major climatic drivers, such as temperature and aridity, has never been assessed globally in terrestrial ecosystems. We surveyed 236 dryland ecosystems from six continents to evaluate the relative importance of aridity and mean annual temperature, and of other abiotic (e.g., texture) and biotic (e.g., plant cover) variables as drivers of SVM, calculated as the averaged coefficient of variation for multiple soil variables linked to nutrient stocks and cycling. We found that increases in temperature and aridity were globally correlated to increases in SVM. Some of these climatic effects on SVM were direct, but others were indirectly driven through reductions in the number of vegetation patches and increases in soil sand content. The predictive capacity of our structural equation\uffc2\uffa0modelling was clearly higher for the spatial variability of N\uffe2\uff80\uff90 than for C\uffe2\uff80\uff90 and P\uffe2\uff80\uff90related soil variables. In the case of N cycling, the effects of temperature and aridity were both direct and indirect via changes in soil properties. For C and P, the effect of climate was mainly indirect via changes in plant attributes. These results suggest that future changes in climate may decouple the spatial availability of these elements for plants and microbes in dryland soils. Our findings significantly advance our understanding of the patterns and mechanisms driving SVM in drylands across the globe, which is critical for predicting changes in ecosystem functioning in response to climate change.Forest soil organic carbon (SOC) and forest floor carbon (FFC) stocks are highly variable. The sampling effort required to assess SOC and FFC stocks is therefore large, resulting in limited sampling and poor estimates of the size, spatial distribution, and changes in SOC and FFC stocks in many countries. Forest SOC and FFC stocks are influenced by tree species. Therefore, quantification of the effect of tree species on carbon stocks combined with spatial information on tree species distribution could improve insight into the spatial distribution of forest carbon stocks. We present a study on the effect of tree species on FFC and SOC stock for a forest in the Netherlands and evaluate how this information could be used for inventory improvement. We assessed FFC and SOC stocks in stands of beech (Fagus sylvatica), Douglas fir (Pseudotsuga menziesii), Scots pine (Pinus sylvestris), oak (Quercus robur) and larch (Larix kaempferi). FFC and SOC stocks differed between a number of species. FFC stocks varied between 11.1 Mg C ha-1 (beech) and 29.6 Mg C ha-1 (larch). SOC stocks varied between 53.3 Mg C ha-1 (beech) and 97.1 Mg C ha-1 (larch). At managed locations, carbon stocks were lower than at unmanaged locations. The Dutch carbon inventory currently overestimates FFC stocks. Differences in carbon stocks between conifer and broadleaf forests were significant enough to consider them relevant for the Dutch system for carbon inventory.

", "keywords": ["0106 biological sciences", "land-use history", "01 natural sciences", "mitigation", "greenhouse gases", "Carbon stock", "Forest floor", "forest ecology", "SDG 15 - Life on Land", "forests", "decomposition", "species composition", "transformation", "carbon dioxide", "belgium", "04 agricultural and veterinary sciences", "15. Life on land", "Management", "impact", "0401 agriculture", " forestry", " and fisheries", "spatial variability", "europe", "Mineral soil", "management", "pine", "Tree species"]}, "links": [{"href": "https://doi.org/10.1016/j.foreco.2008.05.007"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Forest%20Ecology%20and%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.foreco.2008.05.007", "name": "item", "description": "10.1016/j.foreco.2008.05.007", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.foreco.2008.05.007"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2008-07-01T00:00:00Z"}}, {"id": "10.1016/j.soildyn.2019.106013", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:16:57Z", "type": "Journal Article", "created": "2020-01-27", "title": "Simplified design of bridges for multiple-support earthquake excitation", "description": "Abstract This paper presents a novel, bridge-dependent approach for quantifying the increase of design quantities due to spatially variable earthquake ground motion (SVEGM). Contrary to the existing methods for multiple support bridge excitation analysis that are either too complicated to be applied by most practitioners or oversimplied (e.g. Eurocode 8, Annex D provisions), this method aims to strike a balance between simplicity, accuracy and computational efficiency. The method deliberately avoids generating support-dependent, acceleration or displacement, asynchronous inputs for the prediction of bridge response. The reasons behind this decision are twofold: (a) first, the uncertainty associated with the generation of asynchronous motion scenarios, as well as the exact soil properties, stratification and topography is high while, (b) the response of a bridge is particularly sensitive to the above due to the large number of natural modes involved. It is therefore prohibitive to address SVEGM effects deterministically in the framework of a design code. Instead, this new method is based on two important and well-documented observations: (a) that SVEGM is typically globally beneficial but locally detrimental [1], and (b) that the local seismic demand increase is very closely correlated with the excitation of higher modes, which are not normally activated in the case of uniform ground motion [2,3]. Along these lines, a set of static analyses are specified herein to complement the standard, code-based response spectrum analysis. These static analyses apply spatially distributed lateral forces, whose patterns match the shape of potentially excited anti-symmetric modes. The amplitude of those forces is derived as a function of the expected amplification of these modes according to the process initially proposed by Price et al. [4]. Two real bridges with different structural configurations are used as a test-bed to demonstrate the effectiveness of the new method. Comparison of the results with those obtained through rigorous response history analysis using partially correlated, spatially variable, spectrum-compatible input motions [5] shows that, the simplified method presented herein provides a reasonably accurate estimation of the SVEGM impact on the response of the bridges examined at a highly reduced computational cost. This is essentially an elastic method that is found to be simple, yet precise enough to consist an attractive alternative for the design and assessment of long and/or important bridge structures in earthquake-prone regions.", "keywords": ["Anti-symmetric modes", "Multiple-support excitation", "0211 other engineering and technologies", "02 engineering and technology", "624", "Seismic codes", "Bridges", "Spatial variability", "0201 civil engineering"]}, "links": [{"href": "https://doi.org/10.1016/j.soildyn.2019.106013"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20Dynamics%20and%20Earthquake%20Engineering", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.soildyn.2019.106013", "name": "item", "description": "10.1016/j.soildyn.2019.106013", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.soildyn.2019.106013"}, {"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": "10.1111/nph.15582", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:18:47Z", "type": "Journal Article", "created": "2018-11-05", "title": "Methane emissions from tree stems: a new frontier in the global carbon cycle", "description": "Summary

Tree stems from wetland, floodplain and upland forests can produce and emit methane (CH4). Tree CH4 stem emissions have high spatial and temporal variability, but there is no consensus on the biophysical mechanisms that drive stem CH4 production and emissions. Here, we summarize up to 30 opportunities and challenges for stem CH4 emissions research, which, when addressed, will improve estimates of the magnitudes, patterns and drivers of CH4 emissions and trace their potential origin. We identified the need: (1) for both long\uffe2\uff80\uff90term, high\uffe2\uff80\uff90frequency measurements of stem CH4 emissions to understand the fine\uffe2\uff80\uff90scale processes, alongside rapid large\uffe2\uff80\uff90scale measurements designed to understand the variability across individuals, species and ecosystems; (2) to identify microorganisms and biogeochemical pathways associated with CH4 production; and (3) to develop a mechanistic model including passive and active transport of CH4 from the soil\uffe2\uff80\uff93tree\uffe2\uff80\uff93atmosphere continuum. Addressing these challenges will help to constrain the magnitudes and patterns of CH4 emissions, and allow for the integration of pathways and mechanisms of CH4 production and emissions into process\uffe2\uff80\uff90based models. These advances will facilitate the upscaling of stem CH4 emissions to the ecosystem level and quantify the role of stem CH4 emissions for the local to global CH4 budget.

", "keywords": ["0301 basic medicine", "570", "upland forests", "methane emissions", "temporal variability", "Methanogenesis", "wetland forests", "Spatial variability", "Models", " Biological", "01 natural sciences", "Carbon Cycle", "Trees", "Tree stems", "03 medical and health sciences", "Wetland forests", "tree stems", "0105 earth and related environmental sciences", "Methane emissions", "CH transport", "Plant Stems", "Upland forests", "Temporal variability", "Water", "CH4 transport", "methanogenesis", "15. Life on land", "13. Climate action", "spatial variability", "Methane"]}, "links": [{"href": "https://nph.onlinelibrary.wiley.com/doi/pdf/10.1111/nph.15582"}, {"href": "https://doi.org/10.1111/nph.15582"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/New%20Phytologist", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/nph.15582", "name": "item", "description": "10.1111/nph.15582", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/nph.15582"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-12-18T00:00:00Z"}}, {"id": "10.3390/rs13091636", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:20:33Z", "type": "Journal Article", "created": "2021-04-22", "title": "In-Season Interactions between Vine Vigor, Water Status and Wine Quality in Terrain-Based Management-Zones in a \u2018Cabernet Sauvignon\u2019 Vineyard", "description": "

Wine quality is the final outcome of the interactions within a vineyard between meteorological conditions, terrain and soil properties, plant physiology and numerous viticultural decisions, all of which are commonly summarized as the terroir effect. Associations between wine quality and a single soil or topographic factor are usually weak, but little information is available on the effect of terrain (elevation, aspect and slope) as a compound micro-terroir factor. We used the topographic wetness index (TWI) as a steady-state hydrologic and integrative measure to delineate management zones (MZs) within a vineyard and to study the interactions between vine vigor, water status and grape and wine quality. The study was conducted in a commercial 2.5-ha Vitis vinifera \u2018Cabernet Sauvignon\u2019 vineyard in Israel. Based on the TWI, the vineyard was divided into three MZs located along an elongate wadi that crosses the vineyard and bears water only in the rainy winter season. MZ1 was the most distant from the wadi and had low TWI values, MZ3 was closest to the wadi and had high TWI values. Remotely sensed crop water stress index (CWSI) was measured simultaneously with canopy cover (as determined by normalized difference vegetation index; NDVI) and with field measurements of midday stem water potential (\u03a8stem) and leaf area index (LAI) on several days during the growing seasons of 2017 and 2018. Vines in MZ1 had narrow trunk diameter and low LAI and canopy cover on most measurement days compared to the other two MZs. MZ1 vines also exhibited the highest water stress (highest CWSI and lowest \u03a8stem), lowest yield and highest wine quality. MZ3 vines showed higher LAI on most measurement days, lowest water deficit stress (\u03a8stem) during phenological stage I, highest yield and lowest wine quality. Yet, in stage III, MZ3 vines exhibited a similar water deficit stress (CWSI and \u03a8stem) as MZ2, suggesting that the relatively high vigor in MZ3 vines resulted in higher water deficit stress than expected towards the end of the season, possibly because of high water consumption over the course of the season. TWI and its classification into three MZs served as a reliable predictor for most of the attributes in the vineyard and for their dynamics within the season, and, thus, can be used as a key factor in delineation of MZs for irrigation. Yet, in-season remotely sensed monitoring is required to follow the vine dynamics to improve precision irrigation decisions.

", "keywords": ["in-field spatial variability", "2. Zero hunger", "0106 biological sciences", "In-field spatial variability", "CWSI", "Topographic wetness index", "NDVI", "Science", "UAV", "Q", "15. Life on land", "01 natural sciences", "6. Clean water", "topographic wetness index", "Vitis vinifera", "Irrigation management zones", "irrigation management zones", "UAV; CWSI; NDVI; irrigation management zones; topographic wetness index; in-field spatial variability; Vitis vinifera"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/13/9/1636/pdf"}, {"href": "https://www.mdpi.com/2072-4292/13/9/1636/pdf"}, {"href": "https://doi.org/10.3390/rs13091636"}, {"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/rs13091636", "name": "item", "description": "10.3390/rs13091636", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs13091636"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-04-22T00:00:00Z"}}, {"id": "10.3390/rs14071639", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:20:34Z", "type": "Journal Article", "created": "2022-03-30", "title": "Mapping Soil Properties with Fixed Rank Kriging of Proximally Sensed Soil Data Fused with Sentinel-2 Biophysical Parameter", "description": "

Soil surveys with line-scanning platforms appear to have great advantages over the traditional methods used to collect soil information for the development of field-scale soil mapping and applications. These carry VNIR (visible and near infrared) spectrometers and have been used in recent years extensively for the assessment of soil fertility at the field scale, and the delineation of site-specific management zones (MZ). A challenging feature of VNIR applications in precision agriculture (PA) is the massiveness of the derived datasets that contain point predictions of soil properties, and the interpolation techniques involved in incorporating these data into site-specific management plans. In this study, fixed-rank kriging (FRK) geostatistical interpolation, which is a flexible, non-stationary spatial interpolation method especially suited to handling huge datasets, was applied to massive VNIR soil scanner data for the production of useful, smooth interpolated maps, appropriate for the delineation of site-specific MZ maps. Moreover, auxiliary Sentinel-2 data-based biophysical parameters NDVI (normalized difference vegetation index) and fAPAR (fraction of photosynthetically active radiation absorbed by the canopy) were included as covariates to improve the filtering performance of the interpolator and the ability to generate uniform patterns of spatial variation from which it is easier to receive a meaningful interpretation in PA applications. Results from the VNIR prediction dataset obtained from a pivot-irrigated field in Albacete, southeastern Spain, during 2019, have shown that FRK variants outperform ordinary kriging in terms of filtering capacity, by doubling the noise removal metrics while keeping the computation cost reasonably low. Such features, along with the capacity to handle a large volume of spatial information, nominate the method as ideal for PA applications with massive proximal and remote sensing datasets.

", "keywords": ["MANAGEMENT ZONES", "precision agriculture", "PREDICTION", "NDVI", "SPATIAL VARIABILITY", "Science", "MODELS", "Q", "PHYSICAL-PROPERTIES", "ONLINE", "04 agricultural and veterinary sciences", "VNIR spectrometer", "15. Life on land", "geostatistical interpolation", "VARIABLES", "DELINEATION", "geostatistical interpolation; VNIR spectrometer; NDVI; fAPAR; precision agriculture", "Earth and Environmental Sciences", "fAPAR", "QUALITY", "0401 agriculture", " forestry", " and fisheries", "precision", "DATA FUSION", "agriculture"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/14/7/1639/pdf"}, {"href": "https://www.mdpi.com/2072-4292/14/7/1639/pdf"}, {"href": "https://doi.org/10.3390/rs14071639"}, {"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/rs14071639", "name": "item", "description": "10.3390/rs14071639", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs14071639"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-03-29T00:00:00Z"}}, {"id": "10.5194/hess-22-4513-2018", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:21:19Z", "type": "Journal Article", "created": "2018-08-27", "title": "Exploring the merging of the global land evaporation WACMOS-ET products based on local tower measurements", "description": "

Abstract. An inverse error variance weighting of the anomalies of three terrestrial evaporation (ET) products from the WACMOS-ET project based on FLUXNET sites is presented. The three ET models were run daily and at a resolution of 25\uffe2\uff80\uff89km for 2002\uffe2\uff80\uff932007, and based on common input data when possible. The local weights, derived based on the variance of the difference between the tower ET anomalies and the modelled ET anomalies, were made dynamic by estimating them using a 61-day running window centred on each day. These were then extrapolated from the tower locations to the global landscape by regressing them on the main model inputs and derived ET using a neural network. Over the stations, the weighted scheme usefully decreased the random error component, and the weighted ET correlated better with the tower data than a simple average. The global extrapolation produced weights displaying strong seasonal and geographical patterns, which translated into spatiotemporal differences between the ET weighted and simple average ET products. However, the uncertainty of the weights after the extrapolation remained large. Out-sample prediction tests showed that the tower data set, mostly located at temperate regions, had limitations with respect to the representation of different biome and climate conditions. Therefore, even if the local weighting was successful, the extrapolation to a global scale remains problematic, showing a limited added value over the simple average. Overall, this study suggests that merging tower observations and ET products at the timescales and spatial scales of this study is complicated by the tower spatial representativeness, the products' coarse spatial resolution, the nature of the error in both towers and gridded data sets, and how all these factors impact the weights extrapolation from the tower locations to the global landscape.

", "keywords": ["Technology", "550", "SPATIAL VARIABILITY", "0207 environmental engineering", "FLUX MEASUREMENTS", "02 engineering and technology", "SOIL-MOISTURE", "Environmental technology. Sanitary engineering", "01 natural sciences", "[PHYS] Physics [physics]", "G", "ENERGY-BALANCE CLOSURE", "Geography. Anthropology. Recreation", "GE1-350", "TD1-1066", "0105 earth and related environmental sciences", "[PHYS]Physics [physics]", "EVAPOTRANSPIRATION ESTIMATION", "CARBON-DIOXIDE EXCHANGE", "T", "DECIDUOUS FOREST", "EDDY-COVARIANCE", "Environmental sciences", "TEMPERATE FOREST", "13. Climate action", "Earth and Environmental Sciences", "[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]", "INTERANNUAL VARIABILITY", "[PHYS.ASTR] Physics [physics]/Astrophysics [astro-ph]"]}, "links": [{"href": "https://hess.copernicus.org/articles/22/4513/2018/hess-22-4513-2018.pdf"}, {"href": "https://doi.org/10.5194/hess-22-4513-2018"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Hydrology%20and%20Earth%20System%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/hess-22-4513-2018", "name": "item", "description": "10.5194/hess-22-4513-2018", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/hess-22-4513-2018"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-08-27T00:00:00Z"}}, {"id": "10.5194/hess-25-5749-2021", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:21:19Z", "type": "Journal Article", "created": "2021-11-09", "title": "The International Soil Moisture Network: serving Earth system science for over a decade", "description": "

Abstract. In\u00a02009, the International Soil Moisture Network\u00a0(ISMN) was initiated as a community effort, funded by the European Space Agency, to serve as a centralised data hosting facility for globally available in situ soil moisture measurements (Dorigo et\u00a0al.,\u00a02011b, a). The ISMN brings together in situ soil moisture measurements collected and freely shared by a multitude of organisations, harmonises them in terms of units and sampling rates, applies advanced quality control, and stores them in a database. Users can freely retrieve the data from this database through an online web portal (https://ismn.earth/en/, last access: 28\u00a0October\u00a02021). Meanwhile, the ISMN has evolved into the primary in situ soil moisture reference database worldwide, as evidenced by more than 3000\u00a0active users and over 1000\u00a0scientific publications referencing the data sets provided by the network. As of July\u00a02021, the ISMN now contains the data of 71\u00a0networks and 2842\u00a0stations located all over the globe, with a time period spanning from\u00a01952 to the present. The number of networks and stations covered by the ISMN is still growing, and approximately 70\u2009% of the data sets contained in the database continue to be updated on a regular or irregular basis. The main scope of this paper is to inform readers about the evolution of the ISMN over the past decade, including a description of network and data set updates and quality control procedures. A comprehensive review of the existing literature making use of ISMN data is also provided in order to identify current limitations in functionality and data usage and to shape priorities for the next decade of operations of this unique community-based data repository.

", "keywords": ["[SDE] Environmental Sciences", "Technology", "Atmospheric Science", "550", "Soil Moisture", "TA Engineering (General). Civil engineering (General)", "02 engineering and technology", "Soil Moisture; ISMN; IMA_CAN1; swc; STEMS", "Spatial variability", "Environmental technology. Sanitary engineering", "01 natural sciences", "Agency (philosophy)", "remote sensing", "Antecedent wetness conditions", "Engineering", "Geography. Anthropology. Recreation", "GE1-350", "TD1-1066", "Smos brightness temperature", "Heihe river-basin", "T", "Soil Water Retention", "Leaf-area index", "004", "FOS: Philosophy", " ethics and religion", "Programming language", "Earth and Planetary Sciences", "Physical Sciences", "name=Water Science and Technology", "/dk/atira/pure/subjectarea/asjc/1900/1901", "Medicine", "name=Earth and Planetary Sciences (miscellaneous)", "Mechanics and Transport in Unsaturated Soils", "Environmental Engineering", "Soil Moisture International Network", "0207 environmental engineering", "Epistemology", "Environmental science", "G", "Database", "Soil Moisture; network", "Arctic Permafrost Dynamics and Climate Change", "Scope (computer science)", "Land data assimilation", "Civil and Structural Engineering", "0105 earth and related environmental sciences", "info:eu-repo/classification/ddc/550", "Consecutive dry days", "in situ", "FOS: Environmental engineering", "AMSR-E", "15. Life on land", "Remote Sensing of Soil Moisture", "Globe", "Computer science", "Environmental sciences", "QE Geology", "Philosophy", "Ophthalmology", "In-situ measurements", "13. Climate action", "ITC-ISI-JOURNAL-ARTICLE", "global scale", "Environmental Science", "G70.212-70.215 Geographic information system", "soil moisture", "ITC-GOLD", "/dk/atira/pure/subjectarea/asjc/2300/2312", "Wireless sensor network"]}, "links": [{"href": "https://iris.polito.it/bitstream/11583/2998914/1/prod_447100-doc_161016.pdf"}, {"href": "https://iris.polito.it/bitstream/11583/2998914/2/prod_447100-doc_178365.pdf"}, {"href": "https://research.unipg.it/bitstream/11391/1498417/2/2021_The%20international%20soil_OA.pdf"}, {"href": "https://cris.unibo.it/bitstream/11585/910145/1/Dourigo_etal_2021.pdf"}, {"href": "https://doi.org/10.5194/hess-25-5749-2021"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Hydrology%20and%20Earth%20System%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/hess-25-5749-2021", "name": "item", "description": "10.5194/hess-25-5749-2021", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/hess-25-5749-2021"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-11-09T00:00:00Z"}}, {"id": "1854/LU-8751352", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:24:18Z", "type": "Journal Article", "created": "2022-03-29", "title": "Mapping Soil Properties with Fixed Rank Kriging of Proximally Sensed Soil Data Fused with Sentinel-2 Biophysical Parameter", "description": "

Soil surveys with line-scanning platforms appear to have great advantages over the traditional methods used to collect soil information for the development of field-scale soil mapping and applications. These carry VNIR (visible and near infrared) spectrometers and have been used in recent years extensively for the assessment of soil fertility at the field scale, and the delineation of site-specific management zones (MZ). A challenging feature of VNIR applications in precision agriculture (PA) is the massiveness of the derived datasets that contain point predictions of soil properties, and the interpolation techniques involved in incorporating these data into site-specific management plans. In this study, fixed-rank kriging (FRK) geostatistical interpolation, which is a flexible, non-stationary spatial interpolation method especially suited to handling huge datasets, was applied to massive VNIR soil scanner data for the production of useful, smooth interpolated maps, appropriate for the delineation of site-specific MZ maps. Moreover, auxiliary Sentinel-2 data-based biophysical parameters NDVI (normalized difference vegetation index) and fAPAR (fraction of photosynthetically active radiation absorbed by the canopy) were included as covariates to improve the filtering performance of the interpolator and the ability to generate uniform patterns of spatial variation from which it is easier to receive a meaningful interpretation in PA applications. Results from the VNIR prediction dataset obtained from a pivot-irrigated field in Albacete, southeastern Spain, during 2019, have shown that FRK variants outperform ordinary kriging in terms of filtering capacity, by doubling the noise removal metrics while keeping the computation cost reasonably low. Such features, along with the capacity to handle a large volume of spatial information, nominate the method as ideal for PA applications with massive proximal and remote sensing datasets.

", "keywords": ["Technology", "MANAGEMENT ZONES", "PREDICTION", "NDVI", "SPATIAL VARIABILITY", "Science", "MODELS", "PHYSICAL-PROPERTIES", "ONLINE", "Environmental Sciences & Ecology", "VNIR spectrometer", "geostatistical interpolation", "VARIABLES", "0203 Classical Physics", "Remote Sensing", "geostatistical interpolation; VNIR spectrometer; NDVI; fAPAR; precision agriculture", "0909 Geomatic Engineering", "QUALITY", "DATA FUSION", "Geosciences", " Multidisciplinary", "Imaging Science & Photographic Technology", "agriculture", "Science & Technology", "precision agriculture", "Q", "Geology", "04 agricultural and veterinary sciences", "15. Life on land", "DELINEATION", "Earth and Environmental Sciences", "Physical Sciences", "fAPAR", "0401 agriculture", " forestry", " and fisheries", "precision", "4013 Geomatic engineering", "0406 Physical Geography and Environmental Geoscience", "Life Sciences & Biomedicine", "3701 Atmospheric sciences", "Environmental Sciences", "3709 Physical geography and environmental geoscience"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/14/7/1639/pdf"}, {"href": "https://www.mdpi.com/2072-4292/14/7/1639/pdf"}, {"href": "https://doi.org/1854/LU-8751352"}, {"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": "1854/LU-8751352", "name": "item", "description": "1854/LU-8751352", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1854/LU-8751352"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-03-29T00:00:00Z"}}, {"id": "10.5281/zenodo.3463360", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:22:34Z", "type": "Journal Article", "title": "SPATIAL VARIBILITY OF CPT DATA FOR LIQUEFACTION ASSESSMENT", "description": "Open AccessThe seismic liquefaction is often responsible for the major part of the economic losses caused by earthquakes. Usually damages involve the foundations of buildings, bridges, embankments, underground constructions and are widely diffused over the cities. The strategies for the mitigation of risk aim to evaluate susceptibility and hazard on given areas by quantifying the liquefaction potential indexes from the results of fast investigations. The empirical relations proposed in the literature based on the results of cone penetration tests CPT, allow to calculate the indexes at each vertical, which can be reductive for the complete risk assessment of larger territorial extension. The present study moves at two distinct levels, one carried out with traditional geographic information systems aiming to map the liquefaction hazard over the territory, the second one aiming to define the three-dimensional distribution of the liquefiable deposit in the subsoil.
The analysis focuses on the district of San Carlo, in the municipality of Sant\u2019Agostino (Italy), located near the epicenter of the 2012 Emilia Romagna earthquake (Mw = 6.15). Several dozens of CPT profiles have been processed to compute the liquefaction potential maps and the individuation of the liquefiable deposits, using geostatistical methodologies. The results, validated with the observations of ground failures and damaged buildings recorded after the earthquake and with the geological structure of the investigated area, improve the quality of Microzonation studies with the addition of the liquefaction hazard and helps to precisely identify the susceptible subsoil deposit.", "keywords": ["liquefaction", "geostatistical analysis", "seismic hazard", " liquefaction", " spatial variability", " geostatistical analysis", "11. Sustainability", "0211 other engineering and technologies", "seismic hazard", "spatial variability", "02 engineering and technology"], "contacts": [{"organization": "Spacagna, Rose Line, Paolella, Luca, Rasulo, Alessandro, Modoni, Giuseppe,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.3463360"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/XVI%20European%20Conference%20on%20Earthquake%20Engineering", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.3463360", "name": "item", "description": "10.5281/zenodo.3463360", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.3463360"}, {"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": "10261/253216", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:23:47Z", "type": "Journal Article", "created": "2021-04-22", "title": "In-Season Interactions between Vine Vigor, Water Status and Wine Quality in Terrain-Based Management-Zones in a \u2018Cabernet Sauvignon\u2019 Vineyard", "description": "

Wine quality is the final outcome of the interactions within a vineyard between meteorological conditions, terrain and soil properties, plant physiology and numerous viticultural decisions, all of which are commonly summarized as the terroir effect. Associations between wine quality and a single soil or topographic factor are usually weak, but little information is available on the effect of terrain (elevation, aspect and slope) as a compound micro-terroir factor. We used the topographic wetness index (TWI) as a steady-state hydrologic and integrative measure to delineate management zones (MZs) within a vineyard and to study the interactions between vine vigor, water status and grape and wine quality. The study was conducted in a commercial 2.5-ha Vitis vinifera \u2018Cabernet Sauvignon\u2019 vineyard in Israel. Based on the TWI, the vineyard was divided into three MZs located along an elongate wadi that crosses the vineyard and bears water only in the rainy winter season. MZ1 was the most distant from the wadi and had low TWI values, MZ3 was closest to the wadi and had high TWI values. Remotely sensed crop water stress index (CWSI) was measured simultaneously with canopy cover (as determined by normalized difference vegetation index; NDVI) and with field measurements of midday stem water potential (\u03a8stem) and leaf area index (LAI) on several days during the growing seasons of 2017 and 2018. Vines in MZ1 had narrow trunk diameter and low LAI and canopy cover on most measurement days compared to the other two MZs. MZ1 vines also exhibited the highest water stress (highest CWSI and lowest \u03a8stem), lowest yield and highest wine quality. MZ3 vines showed higher LAI on most measurement days, lowest water deficit stress (\u03a8stem) during phenological stage I, highest yield and lowest wine quality. Yet, in stage III, MZ3 vines exhibited a similar water deficit stress (CWSI and \u03a8stem) as MZ2, suggesting that the relatively high vigor in MZ3 vines resulted in higher water deficit stress than expected towards the end of the season, possibly because of high water consumption over the course of the season. TWI and its classification into three MZs served as a reliable predictor for most of the attributes in the vineyard and for their dynamics within the season, and, thus, can be used as a key factor in delineation of MZs for irrigation. Yet, in-season remotely sensed monitoring is required to follow the vine dynamics to improve precision irrigation decisions.

", "keywords": ["in-field spatial variability", "2. Zero hunger", "0106 biological sciences", "In-field spatial variability", "CWSI", "Topographic wetness index", "NDVI", "Science", "UAV", "Q", "15. Life on land", "01 natural sciences", "6. Clean water", "topographic wetness index", "Vitis vinifera", "Irrigation management zones", "irrigation management zones", "UAV; CWSI; NDVI; irrigation management zones; topographic wetness index; in-field spatial variability; Vitis vinifera"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/13/9/1636/pdf"}, {"href": "https://www.mdpi.com/2072-4292/13/9/1636/pdf"}, {"href": "https://doi.org/10261/253216"}, {"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": "10261/253216", "name": "item", "description": "10261/253216", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/253216"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-04-22T00:00:00Z"}}, {"id": "10261/309237", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:23:49Z", "type": "Journal Article", "created": "2022-12-29", "title": "Spatial variability of soil organic carbon stock in an olive orchard at catchment scale in Southern Spain", "description": "Orchards have a high potential for carbon sequestration. However, little research is available on the spatial variability at catchment scale and on the difference between the tree area and the lanes. We analyzed theik spatial variability of soil organic carbon stock, SOCstock at 90\u00a0cm depth in an 8-ha catchment in Southern Spain with olives on a vertic soil. Results showed higher soil organic carbon concentration, SOC, in the tree area as compared to the lane up to 60\u00a0cm depth, but its impact on SOCstock was negligible since it was compensated by the higher soil bulk density in the lane. SOC at different depths was correlated with that in the top 0\u20135\u00a0cm. The overall SOCstock of the orchard was 4.14\u00a0kg\u00a0m\u22122, ranging between 1.8 and 6.0\u00a0kg\u00a0m\u22122. This SOCstock is in the mid-lower range of values reported for olive orchards, measured at smaller scale, and similar to those other intensive field crops and agroforestry under comparable rainfall conditions. The spatial variability in SOCstock was correlated to several geomorphological variables: elevation, cumulative upstream area, topographic wetness index, sediment transport index, and tillage erosion. Differences in SOC and SOCstock are driven by the sediment redistribution downslope, mainly by tillage erosion, and higher soil water availability in lower areas allowing higher biomass production. These topographic indexes and the correlation between SOC in the topsoil and SOCstock up to 90\u00a0cm should be further explored in other typology of olive orchards for facilitating the mapping of SOCstock.", "keywords": ["Carbon sequestration", "2. Zero hunger", "Vertic soils", "Mediterranean crops", "Catchments", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "TA1-2040", "15. Life on land", "Engineering (General). Civil engineering (General)", "Catchment", "Spatial variability"]}, "links": [{"href": "https://doi.org/10261/309237"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/International%20Soil%20and%20Water%20Conservation%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/309237", "name": "item", "description": "10261/309237", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/309237"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-06-01T00:00:00Z"}}, {"id": "11585/910145", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:24:10Z", "type": "Journal Article", "created": "2021-11-09", "title": "The International Soil Moisture Network: serving Earth system science for over a decade", "description": "

Abstract. In\u00a02009, the International Soil Moisture Network\u00a0(ISMN) was initiated as a community effort, funded by the European Space Agency, to serve as a centralised data hosting facility for globally available in situ soil moisture measurements (Dorigo et\u00a0al.,\u00a02011b, a). The ISMN brings together in situ soil moisture measurements collected and freely shared by a multitude of organisations, harmonises them in terms of units and sampling rates, applies advanced quality control, and stores them in a database. Users can freely retrieve the data from this database through an online web portal (https://ismn.earth/en/, last access: 28\u00a0October\u00a02021). Meanwhile, the ISMN has evolved into the primary in situ soil moisture reference database worldwide, as evidenced by more than 3000\u00a0active users and over 1000\u00a0scientific publications referencing the data sets provided by the network. As of July\u00a02021, the ISMN now contains the data of 71\u00a0networks and 2842\u00a0stations located all over the globe, with a time period spanning from\u00a01952 to the present. The number of networks and stations covered by the ISMN is still growing, and approximately 70\u2009% of the data sets contained in the database continue to be updated on a regular or irregular basis. The main scope of this paper is to inform readers about the evolution of the ISMN over the past decade, including a description of network and data set updates and quality control procedures. A comprehensive review of the existing literature making use of ISMN data is also provided in order to identify current limitations in functionality and data usage and to shape priorities for the next decade of operations of this unique community-based data repository.

", "keywords": ["[SDE] Environmental Sciences", "Technology", "Atmospheric Science", "550", "Soil Moisture", "TA Engineering (General). Civil engineering (General)", "02 engineering and technology", "Soil Moisture; ISMN; IMA_CAN1; swc; STEMS", "SMOS BRIGHTNESS TEMPERATURE", "Spatial variability", "Environmental technology. Sanitary engineering", "01 natural sciences", "Agency (philosophy)", "remote sensing", "Antecedent wetness conditions", "Engineering", "Geography. Anthropology. Recreation", "GE1-350", "Geosciences", " Multidisciplinary", "TD1-1066", "Smos brightness temperature", "Heihe river-basin", "T", "Soil Water Retention", "Geology", "Leaf-area index", "004", "FOS: Philosophy", " ethics and religion", "Programming language", "HEIHE RIVER-BASIN", "Earth and Planetary Sciences", "Physical Sciences", "Water Resources", "name=Water Science and Technology", "/dk/atira/pure/subjectarea/asjc/1900/1901", "Medicine", "0406 Physical Geography and Environmental Geoscience", "name=Earth and Planetary Sciences (miscellaneous)", "3709 Physical geography and environmental geoscience", "Mechanics and Transport in Unsaturated Soils", "Environmental Engineering", "SPATIAL VARIABILITY", "IN-SITU MEASUREMENTS", "0207 environmental engineering", "Epistemology", "0905 Civil Engineering", "Environmental science", "G", "Database", "LAND DATA ASSIMILATION", "Soil Moisture; network", "WIRELESS SENSOR NETWORK", "Arctic Permafrost Dynamics and Climate Change", "Scope (computer science)", "Land data assimilation", "Civil and Structural Engineering", "0105 earth and related environmental sciences", "info:eu-repo/classification/ddc/550", "Science & Technology", "3707 Hydrology", "Consecutive dry days", "LEAF-AREA INDEX", "in situ", "FOS: Environmental engineering", "AMSR-E", "15. Life on land", "Remote Sensing of Soil Moisture", "ANTECEDENT WETNESS CONDITIONS", "Globe", "Computer science", "Environmental sciences", "QE Geology", "0907 Environmental Engineering", "Philosophy", "Ophthalmology", "In-situ measurements", "13. Climate action", "ITC-ISI-JOURNAL-ARTICLE", "global scale", "Environmental Science", "G70.212-70.215 Geographic information system", "4013 Geomatic engineering", "soil moisture", "CONSECUTIVE DRY DAYS", "ITC-GOLD", "/dk/atira/pure/subjectarea/asjc/2300/2312", "Wireless sensor network"]}, "links": [{"href": "https://iris.polito.it/bitstream/11583/2998914/1/prod_447100-doc_161016.pdf"}, {"href": "https://iris.polito.it/bitstream/11583/2998914/2/prod_447100-doc_178365.pdf"}, {"href": "https://cris.unibo.it/bitstream/11585/910145/1/Dourigo_etal_2021.pdf"}, {"href": "https://doi.org/11585/910145"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Hydrology%20and%20Earth%20System%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "11585/910145", "name": "item", "description": "11585/910145", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/11585/910145"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-11-09T00:00:00Z"}}, {"id": "1959.7/uws:63733", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:24:22Z", "type": "Journal Article", "created": "2018-02-27", "title": "Temperature and aridity regulate spatial variability of soil multifunctionality in drylands across the globe", "description": "Abstract

The relationship between the spatial variability of soil multifunctionality (i.e., the capacity of soils to conduct multiple functions; SVM) and major climatic drivers, such as temperature and aridity, has never been assessed globally in terrestrial ecosystems. We surveyed 236 dryland ecosystems from six continents to evaluate the relative importance of aridity and mean annual temperature, and of other abiotic (e.g., texture) and biotic (e.g., plant cover) variables as drivers of SVM, calculated as the averaged coefficient of variation for multiple soil variables linked to nutrient stocks and cycling. We found that increases in temperature and aridity were globally correlated to increases in SVM. Some of these climatic effects on SVM were direct, but others were indirectly driven through reductions in the number of vegetation patches and increases in soil sand content. The predictive capacity of our structural equation\uffc2\uffa0modelling was clearly higher for the spatial variability of N\uffe2\uff80\uff90 than for C\uffe2\uff80\uff90 and P\uffe2\uff80\uff90related soil variables. In the case of N cycling, the effects of temperature and aridity were both direct and indirect via changes in soil properties. For C and P, the effect of climate was mainly indirect via changes in plant attributes. These results suggest that future changes in climate may decouple the spatial availability of these elements for plants and microbes in dryland soils. Our findings significantly advance our understanding of the patterns and mechanisms driving SVM in drylands across the globe, which is critical for predicting changes in ecosystem functioning in response to climate change.

Wine quality is the final outcome of the interactions within a vineyard between meteorological conditions, terrain and soil properties, plant physiology and numerous viticultural decisions, all of which are commonly summarized as the terroir effect. Associations between wine quality and a single soil or topographic factor are usually weak, but little information is available on the effect of terrain (elevation, aspect and slope) as a compound micro-terroir factor. We used the topographic wetness index (TWI) as a steady-state hydrologic and integrative measure to delineate management zones (MZs) within a vineyard and to study the interactions between vine vigor, water status and grape and wine quality. The study was conducted in a commercial 2.5-ha Vitis vinifera \u2018Cabernet Sauvignon\u2019 vineyard in Israel. Based on the TWI, the vineyard was divided into three MZs located along an elongate wadi that crosses the vineyard and bears water only in the rainy winter season. MZ1 was the most distant from the wadi and had low TWI values, MZ3 was closest to the wadi and had high TWI values. Remotely sensed crop water stress index (CWSI) was measured simultaneously with canopy cover (as determined by normalized difference vegetation index; NDVI) and with field measurements of midday stem water potential (\u03a8stem) and leaf area index (LAI) on several days during the growing seasons of 2017 and 2018. Vines in MZ1 had narrow trunk diameter and low LAI and canopy cover on most measurement days compared to the other two MZs. MZ1 vines also exhibited the highest water stress (highest CWSI and lowest \u03a8stem), lowest yield and highest wine quality. MZ3 vines showed higher LAI on most measurement days, lowest water deficit stress (\u03a8stem) during phenological stage I, highest yield and lowest wine quality. Yet, in stage III, MZ3 vines exhibited a similar water deficit stress (CWSI and \u03a8stem) as MZ2, suggesting that the relatively high vigor in MZ3 vines resulted in higher water deficit stress than expected towards the end of the season, possibly because of high water consumption over the course of the season. TWI and its classification into three MZs served as a reliable predictor for most of the attributes in the vineyard and for their dynamics within the season, and, thus, can be used as a key factor in delineation of MZs for irrigation. Yet, in-season remotely sensed monitoring is required to follow the vine dynamics to improve precision irrigation decisions.

", "keywords": ["in-field spatial variability", "2. Zero hunger", "0106 biological sciences", "In-field spatial variability", "CWSI", "Topographic wetness index", "NDVI", "Science", "UAV", "Q", "15. Life on land", "01 natural sciences", "6. Clean water", "topographic wetness index", "Vitis vinifera", "Irrigation management zones", "irrigation management zones", "UAV; CWSI; NDVI; irrigation management zones; topographic wetness index; in-field spatial variability; Vitis vinifera"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/13/9/1636/pdf"}, {"href": "https://www.mdpi.com/2072-4292/13/9/1636/pdf"}, {"href": "https://doi.org/3164629963"}, {"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": "3164629963", "name": "item", "description": "3164629963", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3164629963"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-04-22T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Spatial+variability&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=Spatial+variability&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=Spatial+variability&", "hreflang": "en-US"}, {"rel": "last", "type": "application/geo+json", "title": "items (last)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Spatial+variability&offset=18", "hreflang": "en-US"}], "numberMatched": 18, "numberReturned": 18, "distributedFeatures": [], "timeStamp": "2026-05-25T14:19:28.175023Z"}