{"type": "FeatureCollection", "features": [{"id": "10.1002/eqe.3145", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:14:02Z", "type": "Journal Article", "created": "2018-12-17", "title": "On the number of records for structural risk estimation in PBEE", "description": "Summary

Response\uffe2\uff80\uff90history nonlinear dynamic analysis is an analytical tool that often sees use in risk\uffe2\uff80\uff90oriented earthquake engineering applications. In the context of performance\uffe2\uff80\uff90based earthquake engineering, dynamic analysis serves to obtain a probabilistic description of seismic structural vulnerability. This typically involves subjecting a nonlinear numerical computer model to a set of ground\uffe2\uff80\uff90motions that represent a sample of possible realizations of base acceleration at the site of interest. The analysis results are then used to calibrate a stochastic model that describes structural response as a function of shaking intensity. The sample size of the ground\uffe2\uff80\uff90motion record set is nowadays usually governed by computation\uffe2\uff80\uff90demand constraints, yet it directly affects the uncertainty in estimation of seismic response. The present study uses analytical and numerical means to investigate the record sample size, n, required to achieve quantifiable levels of mean relative estimation error on seismic risk metrics. Regression\uffe2\uff80\uff90based cloud analysis in the context of Cornell's reliability method and incremental dynamic analysis using various intensity measures were employed to derive a relation of the form , where \uffce\uff94 is a parameter that depends on both the dispersion of structural responses and the shape of the hazard curve at the site. For the cases examined, n can be kept in the 40 to 100 range and achieve 10% mean relative error. The study can contribute to guide engineers towards an informed a\uffe2\uff80\uff90priori assessment of the number of records needed to achieve a desired value for the coefficient of variation of the estimator of structural seismic risk.

", "keywords": ["seismic reliability", "fragility function", "nonlinear dynamic analysis", "Earth and Planetary Sciences (miscellaneous)", "0211 other engineering and technologies", "fragility function; ground motion record selection; nonlinear dynamic analysis; seismic reliability; Geotechnical Engineering and Engineering Geology; Earth and Planetary Sciences (miscellaneous)", "02 engineering and technology", "Geotechnical Engineering and Engineering Geology", "ground motion record selection"]}, "links": [{"href": "https://onlinelibrary.wiley.com/doi/pdf/10.1002/eqe.3145"}, {"href": "https://doi.org/10.1002/eqe.3145"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Earthquake%20Engineering%20%26amp%3B%20Structural%20Dynamics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/eqe.3145", "name": "item", "description": "10.1002/eqe.3145", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/eqe.3145"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-12-16T00:00:00Z"}}, {"id": "10.1007/s10346-020-01410-w", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:14:38Z", "type": "Journal Article", "created": "2020-05-06", "title": "Role of baffle shape on debris flow impact in step-pool channel: an SPH study", "description": "

Drainage channels with step-pool system are widely used to control debris flow. The blocking of debris flow often gives rise to local damage at the steps and ba?es. Hence, the estimation of impact force of debris flow is crucial for designing step-pools channel. Existing empirical models for impact pressure prediction cannot consider the influence of baffle shape. In this work, a three-dimensional smoothed particle hydrodynamics (SPH) study on the impact behaviour of debris flows in step-pool systems is presented, where debris material is modelled using the regularizedBingham model. The SPH method is first checked using the results from two laboratory tests. Then it is used to investigate the influence of bafflee shape and flow density. Numerical results show that the impact pressure at the first ba?e highly depends on the ba?e shape; however, the largest impact pressure usually occurs at subsequent baffles due to the violent impact induced by jet flows. The peak impact pressure at the first ba?e initially grows with increasing flow density; however, it starts to drop as density is beyond a threshold. Based on the numerical results, an empirical relation considering the influence of ba?e shape is proposed for better prediction of debris impact pressure.

", "keywords": ["Civil and Environmental Engineering", "bepress|Engineering", "0211 other engineering and technologies", "02 engineering and technology", "Geotechnical Engineering", "01 natural sciences", "Engineering", "engrXiv|Engineering", "bepress|Engineering|Civil and Environmental Engineering", "engrXiv|Engineering|Civil and Environmental Engineering|Geotechnical Engineering", "13. Climate action", "engrXiv|Engineering|Civil and Environmental Engineering", "bepress|Engineering|Civil and Environmental Engineering|Geotechnical Engineering", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://link.springer.com/content/pdf/10.1007/s10346-020-01410-w.pdf"}, {"href": "https://doi.org/10.1007/s10346-020-01410-w"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Landslides", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s10346-020-01410-w", "name": "item", "description": "10.1007/s10346-020-01410-w", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s10346-020-01410-w"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-05-06T00:00:00Z"}}, {"id": "10.1007/s10518-017-0295-3", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:14:41Z", "type": "Journal Article", "created": "2017-12-09", "title": "Seismic actions on structures in the near-source region of the 2016 central Italy sequence", "description": "The central Italy seismic sequence began in the latter half of 2016 and continued well into 2017, causing severe damage in the villages close to the source and causing hundreds of casualties. It is a sequence especially interesting to study, from the perspective of seismic actions experienced by structures, because it saw nine M\u00a0\u2265\u00a05.0 earthquakes within a period of 5\u00a0months, rupturing parts of the complex central Apennine mountain range fault system. Consequently, some of the main earthquake engineering issues that arose are the multiple locations where the code-mandated seismic actions were exceeded in more than one of the main events of the sequence and the number of pre- and low-code existing buildings that suffered heavy damage or collapse due to the intensity of individual earthquakes and the cumulative effect of repeated damaging shocks. The present article picks up on these topics and uses probabilistic seismic hazard, as well as the multitude of strong ground motion recordings available from the sequence, to provide a discussion on certain issues, that are all related to the topical subject of seismic actions. These issues are: (1) the unsurprising exceedance of code spectra in the epicentral areas of strong earthquakes; (2) the particular spectral shape and damaging potential of near-source, pulse-like, ground motions, possibly related to rupture directivity; and (3) structural non-linear behaviour in the wake of a sequence that produces repeated strong shaking without the necessary respite for repair and retrofit operations.", "keywords": ["Geophysics", "Seismic Hazard", "Pulse-like ground motion", "Cumulative damage", "0211 other engineering and technologies", "Cumulative damage; Pulse-like ground motion; Seismic hazard; Civil and Structural Engineering; Building and Construction; Geotechnical Engineering and Engineering Geology; Geophysics", "Building and Construction", "02 engineering and technology", "Geotechnical Engineering and Engineering Geology", "Seismic hazard", "Civil and Structural Engineering"]}, "links": [{"href": "http://link.springer.com/content/pdf/10.1007/s10518-017-0295-3.pdf"}, {"href": "https://doi.org/10.1007/s10518-017-0295-3"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Bulletin%20of%20Earthquake%20Engineering", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s10518-017-0295-3", "name": "item", "description": "10.1007/s10518-017-0295-3", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s10518-017-0295-3"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-12-09T00:00:00Z"}}, {"id": "10.1007/s10661-023-11079-y", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:14:46Z", "type": "Journal Article", "created": "2023-03-25", "title": "Evaluating the impacts of sustainable land management practices on water quality in an agricultural catchment in Lower Austria using SWAT", "description": "Abstract

Managing agricultural watersheds in an environmentally friendly manner necessitate the strategic implementation of well-targeted sustainable land management (SLM) practices that limit soil and nonpoint source pollution losses and translocation. Watershed-scale SLM-scenario modeling has the potential to identify efficient and effective management strategies from the field to the integrated landscape level. In a case study targeting a 66-hectare watershed in Petzenkirchen, Lower Austria, the Soil and Water Assessment Tool (SWAT) was utilized to evaluate a variety of locally adoptable SLM practices. SWAT was calibrated and validated (monthly) at the catchment outlet for flow, sediment, nitrate-nitrogen (NO3\uffe2\uff80\uff93N), ammonium nitrogen (NH4\uffe2\uff80\uff93N), and mineralized phosphorus (PO4\uffe2\uff80\uff93P) using SWATplusR. Considering the locally existing agricultural practices and socioeconomic and environmental factors of the research area, four conservation practices were evaluated: baseline scenario, contour farming (CF), winter cover crops (CC), and a combination of no-till and cover crops (NT\uffe2\uff80\uff89+\uffe2\uff80\uff89CC). The NT\uffe2\uff80\uff89+\uffe2\uff80\uff89CC SLM practice was found to be the most effective soil conservation practice in reducing soil loss by around 80%, whereas CF obtained the best results for decreasing the nutrient loads of NO3\uffe2\uff80\uff93N and PO4\uffe2\uff80\uff93P by 11% and 35%, respectively. The findings of this study imply that the setup SWAT model can serve the context-specific performance assessment and eventual promotion of SLM interventions that mitigate on-site land degradation and the consequential off-site environmental pollution resulting from agricultural nonpoint sources.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.

", "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.compgeo.2019.01.007", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:15:48Z", "type": "Journal Article", "created": "2019-01-25", "title": "Effect of soil deformability on the failure mechanism of shallow plate or screw anchors in sand", "description": "Abstract Most analytical approaches for the design of shallow plate and screw anchors in tension are based on the limit equilibrium of a rigid soil wedge for which a horizontal stress distribution acting on the failure plane is assumed. Finite element analysis for a wide range of soil properties was carried out to identify the shape of the failure mechanism and to study the stress distribution at failure. Results show that soil deformation modifies the stress field around the anchor and increases the uplift capacity. A semi-analytical approach is proposed to describe this stress distribution, based on peak friction angle.", "keywords": ["/dk/atira/pure/subjectarea/asjc/1900/1909", "name=Geotechnical Engineering and Engineering Geology", "/dk/atira/pure/subjectarea/asjc/1700/1706", "Design", "550", "Sand", "Anchors", "Finite element analysis", "0211 other engineering and technologies", "Failure mechanism", "02 engineering and technology", "name=Computer Science Applications", "620"]}, "links": [{"href": "https://doi.org/10.1016/j.compgeo.2019.01.007"}, {"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.2019.01.007", "name": "item", "description": "10.1016/j.compgeo.2019.01.007", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.compgeo.2019.01.007"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-05-01T00:00:00Z"}}, {"id": "10.1016/j.compgeo.2019.103200", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:15:48Z", "type": "Journal Article", "created": "2019-08-18", "title": "Non-orthogonal elastoplastic constitutive model with the critical state for clay", "description": "

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.

", "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.2020.103754", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:15:48Z", "type": "Journal Article", "created": "2020-08-11", "title": "Mathematical and computational modelling of vegetated soil incorporating hydraulically-driven finite strain deformation", "description": "Abstract In this paper a new model for the hydro-mechanical behaviour of rooted soils is developed. It is a physically-based model that couples finite strain soil deformation with unsaturated water and air flow, while improving on existing cohesion-based approaches to mechanical root reinforcement and empirical soil water-uptake approaches typically used to deal with rooted slopes. The model is used to show that the dynamics of soil-water pressure and soil deformation depend strongly on the physics of the root-water uptake and the elasto-plastic soil mechanics. Root water uptake can cause suctions and corresponding soil shrinkage sufficiently large to necessitate a finite-strain approach. Although this deformation can change the intrinsic permeability, hydraulic conductivity remains dominated by the water content. The model incorporates simultaneous air-flow, but this is shown to be unimportant for soil-water dynamics under the conditions assumed in example simulations. The mechanical action of roots is incorporated via a root stress tensor and a simulation is used to show how root tension is mobilised within a swelling soil. The developed model may be used to simulate both laboratory experiments and full-scale vegetated slopes.", "keywords": ["/dk/atira/pure/subjectarea/asjc/1900/1909", "name=Geotechnical Engineering and Engineering Geology", "/dk/atira/pure/subjectarea/asjc/1700/1706", "550", "Vegetated soil", "0211 other engineering and technologies", "Large-strain", "04 agricultural and veterinary sciences", "02 engineering and technology", "name=Computer Science Applications", "15. Life on land", "Roots", "510", "Slope", "Landslide", "0401 agriculture", " forestry", " and fisheries"]}, "links": [{"href": "https://eprints.soton.ac.uk/442810/1/Woodman_et_al_revised_June20PURE.pdf"}, {"href": "https://doi.org/10.1016/j.compgeo.2020.103754"}, {"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.2020.103754", "name": "item", "description": "10.1016/j.compgeo.2020.103754", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.compgeo.2020.103754"}, {"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.compgeo.2020.103856", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:15:48Z", "type": "Journal Article", "created": "2021-03-11", "title": "GPU-accelerated smoothed particle finite element method for large deformation analysis in geomechanics", "description": "

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.

", "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.ijrmms.2017.01.002", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:16:22Z", "type": "Journal Article", "created": "2017-01-16", "title": "Analytical solutions of stresses and displacements for deeply buried twin tunnels in viscoelastic rock", "description": "A set of analytical solutions is presented to calculate the stresses and displacements generated when two closely located circular tunnels are sequentially excavated in viscoelastic rock. The solutions are provided for circular tunnels excavated in time dependent rock for any type of linear viscoelastic model, e.g. Burgers and Poyting-Thomson model. In the presented solutions the sequential excavation of the tunnels is also accounted for. The radii of the twin tunnels are time-dependent functions reflecting the excavation process adopted. The solutions are provided as analytical expressions in integral form. These were obtained by extending the principle of correspondence to solid media with time varying boundaries. A comparison of the stresses and displacements predicted by the analytical solutions and FEM analyses for an example case of twin tunnels excavated in a generalized Kelvin medium shows a good agreement between the two methods. Then, a parametric analysis was performed to investigate the influence of the tunnel spacing on displacements and stresses for various excavation processes. Several dimensionless charts summarizing the result of the parametric analysis are provided for the benefit of practitioners.", "keywords": ["0211 other engineering and technologies", "02 engineering and technology", "Geotechnical Engineering and Engineering Geology", "01 natural sciences", "0105 earth and related environmental sciences"], "contacts": [{"organization": "Huaning Wang, Huaning Wang, G.S. Zeng, Stefano Utili, L. Wu, Mingjing Jiang,", "roles": ["creator"]}]}, "links": [{"href": "https://eprints.ncl.ac.uk/fulltext.aspx?url=232634/94D19CB1-32DC-45CE-A40C-2CDE88C9E618.pdf&pub_id=232634"}, {"href": "https://doi.org/10.1016/j.ijrmms.2017.01.002"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/International%20Journal%20of%20Rock%20Mechanics%20and%20Mining%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.ijrmms.2017.01.002", "name": "item", "description": "10.1016/j.ijrmms.2017.01.002", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.ijrmms.2017.01.002"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-03-01T00:00:00Z"}}, {"id": "10.1016/j.ecoleng.2017.08.010", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:15:51Z", "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 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\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.ecoleng.2024.107487", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:15:51Z", "type": "Journal Article", "created": "2024-12-13", "title": "Comparative geotechnical analysis of slope stabilization through conventional, soil and water bioengineering, and combined solutions", "description": "The sustainable mitigation of hydrogeological hazard through the geotechnical stabilization of natural and artificial slopes is an ethical and technical goal of increasing global relevance. In this context, \u201cgray\u201d geotechnical stabilization solutions involving the use of inert materials, injections of cement mixtures and steel elements, have been prevalently used in the past decades and have thus come to define the present \u201cconventional\u201d approach. These solutions may meet engineering performance criteria but are unable to attain desirable sustainability standards. The practice of Soil and Water BioEngineering (SWBE) draws from ancient empirical experience and is rapidly gaining new momentum due to the increased focus on environmental protection and requalification. SWBE and can be effectively conducted through the design and implementation of nature-based solutions (NBS) by using living plants, alone or in combination with locally available materials, to improve the engineering performance of ecosystems while fostering an increase in their biodiversity and environmental value. The domain of applicability of NBS is limited to quasi-surficial instability phenomena, since the root systems which provide resistance to destabilizing forces are found mainly at shallow depths from ground surface. Moreover, biological and physical processes intervening in NBS result in the temporal variation of their mechanical resistance and engineering performance. \u201cCombined\u201d solutions involving the presence of \u2013 and synergy between - gray and green solutions may ensure the simultaneous attainment of safety and sustainability. This paper describes the conceptual standpoints and operational framework used for the comparative assessment of the engineering design performance of conventional, NBS, and combined solutions for a slope stabilization intervention on a site located near Florence, Italy. Stability is assessed quantitatively through limit equilibrium methods for multiple scenarios defined in terms of technological solutions, temporal stage, and level of engineering conservatism in design parameters. Temporal trends of the factors of safety against sliding are defined statistically and assessed qualitatively and quantitatively. The comparative analysis suggests that the combined solution provides the best option at the Montisoni site as it ensures sufficient short-terms, post-stabilization stability as well as increased stability overtime due to the improvement in the mechanical contribution of NBS components. The paper brings innovative contributions with respect to the equivalent geomechanical modeling of NBS and combined solutions in limit-equilibrium analyses and to the discussion of criteria to be considered in the assignment of design values in stability analyses.", "keywords": ["Geotechnical engineering; Bio-geotechnics; Slope stability; Soil and water bioengineering; Nature-based solutions; Statistics"]}, "links": [{"href": "https://flore.unifi.it/bitstream/2158/1403973/1/Uzielli%20et%20al.%202024%20-%20Comparative%20geotechnical%20analysis%20of%20slope%20stabilization.pdf"}, {"href": "https://doi.org/10.1016/j.ecoleng.2024.107487"}, {"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.2024.107487", "name": "item", "description": "10.1016/j.ecoleng.2024.107487", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.ecoleng.2024.107487"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-02-01T00:00:00Z"}}, {"id": "10.1016/j.enggeo.2016.09.005", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-24T16:16:03Z", "type": "Journal Article", "created": "2016-09-21", "title": "A general analytical solution for the evolution of cliffs accounting for strength degradation, seismic action, formation of tension cracks and seepage", "description": "Abstract The evolution of natural slopes over time is ruled by several concurrent physical phenomena, namely the strength of its component geomaterials and their weakening over time due to weathering processes, the occurrence of seismic events, seepage and the formation of tension cracks. The paper presents analytical solutions obtained considering a succession of discrete failure events (landslides) progressively altering the slope morphology over time. The model, derived in the framework of limit analysis assuming plane strain conditions, provides a tool for the assessment of whether manufacts and/or infrastructures located on a slope subject to various natural degradation phenomena will be affected by the occurrence of failures. Unlike current empirical and semi-empirical models of slope evolution, the analytical solution that is here presented is derived by applying principles of soil and rock mechanics, therefore it is of general validity, so that no ad\u2013hoc calibration against past observations of the evolving slope is needed. This analytical technique only requires knowledge of the (geotechnical) parameters characterising the geomaterials comprising the slope of interest, namely angle of shearing resistance, \u03d5, cohesion, c, tensile strength, unit weight, together with knowledge of the relevant seepage scenarios, strength degradation processes, and seismic events likely to occur. Results show that that earthquake loading and seepage can substantially decrease slope stability, increase the volume of material sliding away during each landslide event and alter the evolution of the slope over time, while tensile strength exhibits a less strong influence especially as strength degradation progresses. Dimensionless ready-to-use charts are provided for the benefit of practitioners.", "keywords": ["0211 other engineering and technologies", "Geology", "02 engineering and technology", "Geotechnical Engineering and Engineering Geology"], "contacts": [{"organization": "Voulgari C, Utili S,", "roles": ["creator"]}]}, "links": [{"href": "https://eprints.ncl.ac.uk/fulltext.aspx?url=233041/DAA01FBC-D982-4FBD-8C10-003E2723978E.pdf&pub_id=233041"}, {"href": "https://doi.org/10.1016/j.enggeo.2016.09.005"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Engineering%20Geology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.enggeo.2016.09.005", "name": "item", "description": "10.1016/j.enggeo.2016.09.005", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.enggeo.2016.09.005"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-03-01T00:00:00Z"}}, {"id": "10.1038/ncomms15972", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:17:32Z", "type": "Journal Article", "created": "2017-06-26", "title": "Iron-Mediated Soil Carbon Response To Water-Table Decline In An Alpine Wetland", "description": "Abstract

The tremendous reservoir of soil organic carbon (SOC) in wetlands is being threatened by water-table decline (WTD) globally. However, the SOC response to WTD remains highly uncertain. Here we examine the under-investigated role of iron (Fe) in mediating soil enzyme activity and lignin stabilization in a mesocosm WTD experiment in an alpine wetland. In contrast to the classic \uffe2\uff80\uff98enzyme latch\uffe2\uff80\uff99 theory, phenol oxidative activity is mainly controlled by ferrous iron [Fe(II)] and declines with WTD, leading to an accumulation of dissolvable aromatics and a reduced activity of hydrolytic enzyme. Furthermore, using dithionite to remove Fe oxides, we observe a significant increase of Fe-protected lignin phenols in the air-exposed soils. Fe oxidation hence acts as an \uffe2\uff80\uff98iron gate\uffe2\uff80\uff99 against the \uffe2\uff80\uff98enzyme latch\uffe2\uff80\uff99 in regulating wetland SOC dynamics under oxygen exposure. This newly recognized mechanism may be key to predicting wetland soil carbon storage with intensified WTD in a changing climate.

", "keywords": ["Composite material", "Science", "Soil Science", "Organic chemistry", "Carbon Dynamics in Peatland Ecosystems", "01 natural sciences", "Article", "Environmental science", "Agricultural and Biological Sciences", "Importance of Mangrove Ecosystems in Coastal Protection", "Soil water", "Carbon fibers", "Soil Carbon Sequestration", "Biology", "Groundwater", "Ecosystem", "0105 earth and related environmental sciences", "Soil science", "Ecology", "Q", "Life Sciences", "Composite number", "Geology", "Mesocosm", "FOS: Earth and related environmental sciences", "04 agricultural and veterinary sciences", "15. Life on land", "Soil carbon", "Materials science", "6. Clean water", "Water table", "Chemistry", "Geotechnical engineering", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Physical Sciences", "Wetland", "Environmental chemistry", "0401 agriculture", " forestry", " and fisheries", "Soil Carbon Dynamics and Nutrient Cycling in Ecosystems", "Ferrous"]}, "links": [{"href": "https://doi.org/10.1038/ncomms15972"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nature%20Communications", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1038/ncomms15972", "name": "item", "description": "10.1038/ncomms15972", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1038/ncomms15972"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-06-26T00:00:00Z"}}, {"id": "10.1061/(asce)gt.1943-5606.0002376", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:17:48Z", "type": "Journal Article", "created": "2020-08-25", "title": "Response of Framed Buildings on Raft Foundations to Tunneling", "description": "This paper investigates the response of framed buildings on raft foundations to tunnel construction using geotechnical centrifuge testing. Five framed building models were considered, and the influence of building configuration, weight, eccentricity, and soil density were evaluated. Soil and foundation displacements, frame deformed shape, maximum structure deformation parameters (deflection ratios and angular distortions), and associated modification factors are illustrated. Results indicate that unlike equivalent isotropic plates, framed buildings primarily exhibit shear behavior and a semi-flexible response. Building deformed shapes indicate that angular/shear distortions (considering bay slope and local tilt) are more appropriate for quantifying framed building distortions than deflection ratios. A relative stiffness parameter is suggested to relate maximum angular distortions to the greenfield settlement slope. Moreover, the efficiency of the available relative stiffness parameters for the deflection ratio modification factors is confirmed. Limitations of the equivalent plate approach and practical implications of the results for framed buildings are discussed.", "keywords": ["0211 other engineering and technologies", "02 engineering and technology", "Geotechnical Engineering and Engineering Geology", "Ingenier\u00eda Civil y de la Construcci\u00f3n", "General Environmental Science"]}, "links": [{"href": "https://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29GT.1943-5606.0002376"}, {"href": "https://doi.org/10.1061/(asce)gt.1943-5606.0002376"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Geotechnical%20and%20Geoenvironmental%20Engineering", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1061/(asce)gt.1943-5606.0002376", "name": "item", "description": "10.1061/(asce)gt.1943-5606.0002376", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1061/(asce)gt.1943-5606.0002376"}, {"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": "10.1109/lgrs.2021.3073484", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:18:21Z", "type": "Journal Article", "created": "2021-06-10", "title": "Sentinel-1 Backscatter Assimilation Using Support Vector Regression or the Water Cloud Model at European Soil Moisture Sites", "description": "Sentinel-1 backscatter observations were assimilated into the Global Land Evaporation Amsterdam Model (GLEAM) using an ensemble Kalman filter. As a forward operator, which is required to simulate backscatter from soil moisture and leaf area index (LAI), we evaluated both the traditional water cloud model (WCM) and the support vector regression (SVR). With SVR, a closer fit between backscatter observations and simulations was achieved. The impact on the correlation between modeled and in situ soil moisture measurements was similar when assimilating the Sentinel data using WCM (\u0394 R = +0.037) or SVR (\u0394 R = +0.025).", "keywords": ["Vegetation mapping", "support vector regression (SVR)", "Technology and Engineering", "Data models", "0211 other engineering and technologies", "Computational modeling", "02 engineering and technology", "15. Life on land", "Geotechnical Engineering and Engineering Geology", "01 natural sciences", "Backscatter", "radar backscatter", "Soil", "Earth and Environmental Sciences", "LAND EVAPORATION", "Data assimilation", "Soil moisture", "Electrical and Electronic Engineering", "soil moisture", "Moisture", "SMOS", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://xplorestaging.ieee.org/ielx7/8859/9651998/09451176.pdf?arnumber=9451176"}, {"href": "https://doi.org/10.1109/lgrs.2021.3073484"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/IEEE%20Geoscience%20and%20Remote%20Sensing%20Letters", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1109/lgrs.2021.3073484", "name": "item", "description": "10.1109/lgrs.2021.3073484", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1109/lgrs.2021.3073484"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-01T00:00:00Z"}}, {"id": "10.1371/journal.pone.0056562", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:19:18Z", "type": "Journal Article", "created": "2013-02-20", "title": "Carbon Dioxide Flux From Rice Paddy Soils In Central China: Effects Of Intermittent Flooding And Draining Cycles", "description": "Open AccessSe realiz\u00f3 un experimento de campo para (i) examinar el patr\u00f3n de flujos de di\u00f3xido de carbono (CO(2)) del suelo diurno y estacional en los arrozales en el centro de China y (ii) evaluar el papel del agua de inundaci\u00f3n en el control de las emisiones de CO(2) del suelo y el agua de inundaci\u00f3n en el drenaje intermitente del suelo de los arrozales. Las tasas de flujo de CO(2) del suelo oscilaron entre -0.45 y 8.62 \u00b5mol.m(-2).s(-1) durante la temporada de cultivo de arroz. Los eflujos netos de CO(2) del suelo del arrozal fueron menores cuando se inund\u00f3 el arrozal que cuando se dren\u00f3. Las emisiones de CO(2) para las condiciones de drenaje mostraron una variaci\u00f3n diurna distinta con un eflujo m\u00e1ximo observado en la tarde. Cuando el arrozal se inund\u00f3, los flujos de CO(2) del suelo diurno se invirtieron con un flujo m\u00e1ximo negativo justo despu\u00e9s del mediod\u00eda. En per\u00edodos alternos de drenaje/inundaci\u00f3n, se produjo un evento repentino similar a un pulso de eflujo de CO(2) en r\u00e1pido aumento en respuesta a una nueva inundaci\u00f3n despu\u00e9s del drenaje. El an\u00e1lisis de correlaci\u00f3n mostr\u00f3 una relaci\u00f3n negativa entre el flujo de CO(2) del suelo y la temperatura en condiciones de inundaci\u00f3n, pero se encontr\u00f3 una relaci\u00f3n positiva en condiciones de drenaje. Los resultados mostraron que los ciclos de drenaje e inundaci\u00f3n juegan un papel vital en el control de las emisiones de CO(2) de los suelos de los arrozales.", "keywords": ["Carbon sequestration", "Organic chemistry", "Agricultural and Biological Sciences", "Soil", "Agricultural soil science", "Soil water", "Psychology", "2. Zero hunger", "Global and Planetary Change", "Ecology", "Q", "R", "Temperature", "Life Sciences", "Hydrology (agriculture)", "Geology", "Carbon cycle", "04 agricultural and veterinary sciences", "6. Clean water", "FOS: Psychology", "Chemistry", "Emissions", "Physical Sciences", "Medicine", "Seasons", "Methane", "Research Article", "China", "Science", "Soil Science", "Flooding (psychology)", "Environmental science", "Carbon Cycle", "Humans", "Biology", "Ecosystem", "Soil science", "Soil organic matter", "Oryza", "FOS: Earth and related environmental sciences", "Carbon Dioxide", "15. Life on land", "Soil biodiversity", "Floods", "Agronomy", "Geotechnical engineering", "Carbon dioxide", "13. Climate action", "FOS: Biological sciences", "Global Methane Emissions and Impacts", "Environmental Science", "Flux (metallurgy)", "Psychotherapist", "0401 agriculture", " forestry", " and fisheries", "Soil Carbon Dynamics and Nutrient Cycling in Ecosystems"], "contacts": [{"organization": "Yi Liu, Kaiyuan Wan, Yong Tao, Zhiguo Li, Guoshi Zhang, Shuanglai Li, Fang Chen,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1371/journal.pone.0056562"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PLoS%20ONE", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1371/journal.pone.0056562", "name": "item", "description": "10.1371/journal.pone.0056562", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1371/journal.pone.0056562"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-02-20T00:00:00Z"}}, {"id": "10.3390/rs9111155", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:20:50Z", "type": "Journal Article", "created": "2017-11-10", "title": "Disaggregation of SMOS Soil Moisture to 100 m Resolution Using MODIS Optical/Thermal and Sentinel-1 Radar Data: Evaluation over a Bare Soil Site in Morocco", "description": "

The 40 km resolution SMOS (Soil Moisture and Ocean Salinity) soil moisture, previously disaggregated at a 1 km resolution using the DISPATCH (DISaggregation based on Physical And Theoretical scale CHange) method based on MODIS optical/thermal data, is further disaggregated to 100 m resolution using Sentinel-1 backscattering coefficient (\uffcf\uff83\uffc2\uffb0). For this purpose, three distinct radar-based disaggregation methods are tested by linking the spatio-temporal variability of \uffcf\uff83\uffc2\uffb0 and soil moisture data at the 1 km and 100 m resolution. The three methods are: (1) the weight method, which estimates soil moisture at 100 m resolution at a certain time as a function of \uffcf\uff83\uffc2\uffb0 ratio (100 m to 1 km resolution) and the 1 km DISPATCH products of the same time; (2) the regression method which estimates soil moisture as a function of \uffcf\uff83\uffc2\uffb0 where the regression parameters (e.g., intercept and slope) vary in space and time; and (3) the Cumulative Distribution Function (CDF) method, which estimates 100 m resolution soil moisture from the cumulative probability of 100 m resolution backscatter and the maximum to minimum 1 km resolution (DISPATCH) soil moisture difference. In each case, disaggregation results are evaluated against in situ measurements collected between 1 January 2016 and 11 October 2016 over a bare soil site in central Morocco. The determination coefficient (R2) between 1 km resolution DISPATCH and localized in situ soil moisture is 0.31. The regression and CDF methods have marginal effect on improving the DISPATCH accuracy at the station scale with a R2 between remotely sensed and in situ soil moisture of 0.29 and 0.34, respectively. By contrast, the weight method significantly improves the correlation between remotely sensed and in situ soil moisture with a R2 of 0.52. Likewise, the soil moisture estimates show low root mean square difference with in situ measurements (RMSD= 0.032 m3 m\uffe2\uff88\uff923).

", "keywords": ["soil moisture and ocean salinity satellite (SMOS)", "Atmospheric Science", "Artificial intelligence", "Environmental Engineering", "550", "Science", "Soil Moisture", "0211 other engineering and technologies", "Aerospace Engineering", "FOS: Mechanical engineering", "02 engineering and technology", "01 natural sciences", "Environmental science", "[SDU] Sciences of the Universe [physics]", "Engineering", "Meteorology", "DISPATCH", "Image resolution", "Arctic Permafrost Dynamics and Climate Change", "14. Life underwater", "Moisture", "0105 earth and related environmental sciences", "Soil science", "Water content", "Radar", "Geography", "soil moisture and ocean salinity satellite (SMOS); DISPATCH; radar; Sentinel-1; disaggregation; soil moisture", "Soilmoisture and ocean salinity satellite (SMOS)", "Synthetic Aperture Radar Interferometry", "Q", "FOS: Environmental engineering", "Geology", "FOS: Earth and related environmental sciences", "Remote sensing", "Remote Sensing of Soil Moisture", "Surface Deformation Monitoring", "Computer science", "Earth and Planetary Sciences", "Groundwater Extraction", "Geotechnical engineering", "[SDU]Sciences of the Universe [physics]", "disaggregation", "Environmental Science", "Physical Sciences", "Sentinel-1", "soil moisture", "radar"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/9/11/1155/pdf"}, {"href": "https://doi.org/10.3390/rs9111155"}, {"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/rs9111155", "name": "item", "description": "10.3390/rs9111155", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs9111155"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-11-10T00:00:00Z"}}, {"id": "10.3390/rs12244018", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:20:49Z", "type": "Journal Article", "created": "2020-12-08", "title": "Linkages between Rainfed Cereal Production and Agricultural Drought through Remote Sensing Indices and a Land Data Assimilation System: A Case Study in Morocco", "description": "

In Morocco, cereal production shows high interannual variability due to uncertain rainfall and recurrent drought periods. Considering the socioeconomic importance of cereal for the country, there is a serious need to characterize the impact of drought on cereal yields. In this study, drought is assessed through (1) indices derived from remote sensing data (the vegetation condition index (VCI), temperature condition index (TCI), vegetation health ind ex (VHI), soil moisture condition index (SMCI) and soil water index for different soil layers (SWI)) and (2) key land surface variables (Land Area Index (LAI), soil moisture (SM) at different depths, soil evaporation and plant transpiration) from a Land Data Assimilation System (LDAS) over 2000\u20132017. A lagged correlation analysis was conducted to assess the relationships between the drought indices and cereal yield at monthly time scales. The VCI and LAI around the heading stage (March-April) are highly linked to yield for all provinces (R = 0.94 for the Khemisset province), while a high link for TCI occurs during the development stage in January-February (R = 0.83 for the Beni Mellal province). Interestingly, indices related to soil moisture in the superficial soil layer are correlated with yield earlier in the season around the emergence stage (December). The results demonstrate the clear added value of using an LDAS compared with using a remote sensing product alone, particularly concerning the soil moisture in the root-zone, considered a key variable for yield production, that is not directly observable from space. The time scale of integration is also discussed. By integrating the indices on the main phenological stages of wheat using a dynamic threshold approach instead of the monthly time scale, the correlation between indices and yield increased by up to 14%. In addition, the contributions of VCI and TCI to VHI were optimized by using yield anomalies as proxies for drought. This study opens perspectives for the development of drought early warning systems in Morocco and over North Africa, as well as for seasonal crop yield forecasting.

", "keywords": ["[SDE] Environmental Sciences", "550", "Science", "0207 environmental engineering", "Agricultural drought", "02 engineering and technology", "01 natural sciences", "630", "Environmental science", "remote sensing", "Land data assimilation systems", "Pathology", "assimilation systems", "Biology", "land data assimilation systems", "0105 earth and related environmental sciences", "2. Zero hunger", "Global and Planetary Change", "Vegetation Monitoring", "Water content", "Ecology", "Drought", "Global Forest Drought Response and Climate Change", "Q", "Hydrology (agriculture)", "Geology", "cereal yield", "Remote Sensing in Vegetation Monitoring and Phenology", "FOS: Earth and related environmental sciences", "Remote sensing", "semiarid region", "15. Life on land", "agricultural drought", "Agronomy", "6. Clean water", "Cereal yield", "Geotechnical engineering", "13. Climate action", "FOS: Biological sciences", "[SDE]Environmental Sciences", "Global Drought Monitoring and Assessment", "Environmental Science", "Physical Sciences", "Leaf area index", "Medicine", "Semiarid region", "land data", "Vegetation (pathology)"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/12/24/4018/pdf"}, {"href": "https://www.mdpi.com/2072-4292/12/24/4018/pdf"}, {"href": "https://doi.org/10.3390/rs12244018"}, {"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/rs12244018", "name": "item", "description": "10.3390/rs12244018", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs12244018"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-12-08T00:00:00Z"}}, {"id": "10.5194/bg-10-2671-2013", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:21:22Z", "type": "Journal Article", "created": "2012-07-28", "title": "Nitrous Oxide Emissions From European Agriculture - An Analysis Of Variability And Drivers Of Emissions From Field Experiments", "description": "

Abstract. Nitrous oxide emissions from a network of agricultural experiments in Europe and Zimbabwe were used to explore the relative importance of site and management controls of emissions. At each site, a selection of management interventions were compared within replicated experimental designs in plot based experiments. Arable experiments were conducted at Beano in Italy, El Encin in Spain, Foulum in Denmark, Log\uffc3\uffa5rden in Sweden, Maulde in Belgium, Paulinenaue in Germany, Harare in Zimbabwe and Tulloch in the UK. Grassland experiments were conducted at Crichton, Nafferton and Peaknaze in the UK, G\uffc3\uffb6d\uffc3\uffb6ll\uffc3\uffb6 in Hungary, Rzecin in Poland, Zarnekow in Germany and Theix in France. Nitrous oxide emissions were measured at each site over a period of at least two years using static chambers. Emissions varied widely between sites and as a result of manipulation treatments. Average site emissions (throughout the study period) varied between 0.04 and 21.21 kg N2O-N ha\uffe2\uff88\uff921 yr\uffe2\uff88\uff921, with the largest fluxes and variability associated with the grassland sites. Total nitrogen addition was found to be the single most important determinant of emissions, accounting for 15% of the variance (using linear regression) in the data from the arable sites (p < 0.0001), and 77% in the grassland sites. The annual emissions from arable sites were significantly greater than those that would be predicted by IPCC default emission factors. Variability in N2O within sites that occurred as a result of manipulation treatments was greater than that resulting from site to site and year to year variation, highlighting the importance of management interventions in contributing to greenhouse gas mitigation.

", "keywords": ["Technology", "Atmospheric sciences", "550", "FILLED PORE-SPACE;N2O EMISSIONS;GRASSLAND SYSTEMS;CO2 EMISSIONS;SOILS;MANAGEMENT;FLUXES;FERTILIZATION;CROP;NO", "Economics", "[SDV]Life Sciences [q-bio]", "Environmental protection", "630", "Agricultural and Biological Sciences", "Engineering", "Life", "QH501-531", "FERTILIZATION", "Arable land", "QH540-549.5", "2. Zero hunger", "QE1-996.5", "GRASSLAND SYSTEMS", "Nitrous oxide", "Ecology", "Agricultura", "Life Sciences", "Agriculture", "Hydrology (agriculture)", "Geology", "Agriculture-Farming", "Qu\u00edmica", "04 agricultural and veterinary sciences", "Chemical Engineering", "Grassland", "[SDV] Life Sciences [q-bio]", "Physical Sciences", "FLUXES", "Biogeochemical Cycling of Nutrients in Aquatic Ecosystems", "571", "Soil Science", "N2O EMISSIONS", "Greenhouse gas", "Environmental science", "NO", "MANAGEMENT", "Environmental Chemistry", "Chemical and Biological Technologies for Odor Control", "Biology", "FOS: Chemical engineering", "Process Chemistry and Technology", "Nitrogen Dynamics", "Production", "CROP", "FOS: Earth and related environmental sciences", "15. Life on land", "FILLED PORE-SPACE", "Agronomy", "SOILS", "Geotechnical engineering", "CO2 EMISSIONS", "13. Climate action", "Earth and Environmental Sciences", "FOS: Biological sciences", "Environmental Science", "0401 agriculture", " forestry", " and fisheries", "Soil Carbon Dynamics and Nutrient Cycling in Ecosystems", "Fertilizer Applications"]}, "links": [{"href": "https://air.uniud.it/bitstream/11390/876174/1/Rees_et_al_2013.pdf"}, {"href": "https://univ-lyon1.hal.science/hal-02522217/file/2013_Rees_Biogeosciences_1.pdf"}, {"href": "https://doi.org/10.5194/bg-10-2671-2013"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biogeosciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/bg-10-2671-2013", "name": "item", "description": "10.5194/bg-10-2671-2013", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/bg-10-2671-2013"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2012-07-27T00:00:00Z"}}, {"id": "10.5194/essd-13-3707-2021", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:21:31Z", "type": "Journal Article", "created": "2021-01-07", "title": "C-band radar data and in situ measurements for the monitoring of wheat crops in a semi-arid area (center of Morocco)", "description": "

Abstract. A better understanding of the hydrological functioning of irrigated crops using remote sensing observations is of prime importance in the semi-arid areas where the water resources are limited. Radar observations, available at high resolution and revisit time since the launch of Sentinel-1 in 2014, have shown great potential for the monitoring of the water content of the upper soil and of the canopy. In this paper, a complete set of data for radar signal analysis is shared to the scientific community for the first time to our knowledge. The data set is composed of Sentinel-1 products and in situ measurements of soil and vegetation variables collected during three agricultural seasons over drip-irrigated winter wheat in the Haouz plain in Morocco. The in situ data gathers soil measurements (time series of half-hourly surface soil moisture, surface roughness and agricultural practices) and vegetation measurements collected every week/two weeks including above-ground fresh and dry biomasses, vegetation water content based on destructive measurements, cover fraction, leaf area index and plant height. Radar data are the backscattering coefficient and the interferometric coherence derived from Sentinel-1 GRDH (Ground Range Detected High resolution) and SLC (Single Look Complex) products, respectively. The normalized difference vegetation index derived from Sentinel-2 data based on Level-2A (surface reflectance and cloud mask) atmospheric effects-corrected products is also provided. This database, which is the first of its kind made available in open access, is described here comprehensively in order to help the scientific community to evaluate and to develop new or existing remote sensing algorithms for monitoring wheat canopy under semi-arid conditions. The data set is particularly relevant for the development of radar applications including surface soil moisture and vegetation parameters retrieval using either physically based or empirical approaches such as machine and deep learning algorithms. The database is archived in the DataSuds repository and is freely-accessible via the DOI: https://doi.org/10.23708/8D6WQC (Ouaadi et al., 2020a).

", "keywords": ["550", "Arid", "Soil Moisture", "0211 other engineering and technologies", "FOS: Mechanical engineering", "02 engineering and technology", "Digital Soil Mapping Techniques", "Normalized Difference Vegetation Index", "630", "Agricultural and Biological Sciences", "Engineering", "Pathology", "GE1-350", "2. Zero hunger", "QE1-996.5", "Vegetation Monitoring", "Water content", "Ecology", "Geography", "Statistics", "Life Sciences", "Hydrology (agriculture)", "Geology", "Remote Sensing in Vegetation Monitoring and Phenology", "04 agricultural and veterinary sciences", "Remote sensing", "Soil Erosion and Agricultural Sustainability", "6. Clean water", "Satellite Observations", "Archaeology", "Physical Sciences", "Leaf area index", "Telecommunications", "Medicine", "Vegetation (pathology)", "Environmental Engineering", "Data set", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "Aerospace Engineering", "Soil Science", "Environmental science", "Digital Soil Mapping", "[SDU] Sciences of the Universe [physics]", "Global Soil Information", "FOS: Mathematics", "Biology", "Radar", "Synthetic Aperture Radar Interferometry", "Canopy", "FOS: Environmental engineering", "Soil Properties", "Paleontology", "FOS: Earth and related environmental sciences", "15. Life on land", "Remote Sensing of Soil Moisture", "Surface Deformation Monitoring", "Computer science", "Agronomy", "Environmental sciences", "Geotechnical engineering", "[SDU]Sciences of the Universe [physics]", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "0401 agriculture", " forestry", " and fisheries", "Mathematics"]}, "links": [{"href": "https://essd.copernicus.org/articles/13/3707/2021/essd-13-3707-2021.pdf"}, {"href": "https://doi.org/10.5194/essd-13-3707-2021"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Earth%20System%20Science%20Data", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/essd-13-3707-2021", "name": "item", "description": "10.5194/essd-13-3707-2021", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/essd-13-3707-2021"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-07T00:00:00Z"}}, {"id": "10.5194/hess-19-4201-2015", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:21:34Z", "type": "Journal Article", "created": "2015-10-20", "title": "Multidecadal Change In Streamflow Associated With Anthropogenic Disturbances In The Tropical Andes", "description": "

Abstract. Andean headwater catchments are an important source of freshwater for downstream water users. However, few long-term studies exist on the relative importance of climate change and direct anthropogenic perturbations on flow regimes in these catchments. In this paper, we assess change in streamflow based on long time series of hydrometeorological data (1974\uffe2\uff80\uff932008) and land cover reconstructions (1963\uffe2\uff80\uff932009) in the Pangor catchment (282 km2) located in the tropical Andes. Three main land cover change trajectories can be distinguished during the period 1963\uffe2\uff80\uff932009: (1) expansion of agricultural land by an area equal to 14 % of the catchment area (or 39 km2) in 46 years' time, (2) deforestation of native forests by 11 % (or \uffe2\uff88\uff9231 km2) corresponding to a mean rate of 67 ha yr\uffe2\uff88\uff921, and (3) afforestation with exotic species in recent years by about 5 % (or 15 km2). Over the time period 1963\uffe2\uff80\uff932009, about 50 % of the 64 km2 of native forests was cleared and converted to agricultural land. Given the strong temporal variability of precipitation and streamflow data related to El Ni\uffc3\uffb1o\uffe2\uff80\uff93Southern Oscillation, we use empirical mode decomposition techniques to detrend the time series. The long-term increasing trend in rainfall is remarkably different from the observed changes in streamflow, which exhibit a decreasing trend. Hence, observed changes in streamflow are not the result of long-term change in precipitation but very likely result from anthropogenic disturbances associated with land cover change.

", "keywords": ["Technology", "Period (music)", "0208 environmental biotechnology", "Urban Flooding", "Precipitation", "02 engineering and technology", "Oceanography", "Environmental technology. Sanitary engineering", "land-use change", "Geography. Anthropology. Recreation", "Climate change", "GE1-350", "TD1-1066", "Water Science and Technology", "Climatology", "2. Zero hunger", "Global and Planetary Change", "Geography", "Ecology", "T", "Physics", "Hydrology (agriculture)", "Geology", "Programming language", "Hydrological Modeling and Water Resource Management", "Physical Sciences", "Cartography", "Land cover", "1443", "Hydrometeorology", "Drainage basin", "0207 environmental engineering", "Streamflow", "Environmental science", "G", "Global Flood Risk Assessment and Management", "Meteorology", "Afforestation", "Agroforestry", "Biology", "Land use", " land-use change and forestry", "FOS: Earth and related environmental sciences", "Acoustics", "15. Life on land", "Computer science", "Environmental sciences", "Geotechnical engineering", "Deforestation (computer science)", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Global Drought Monitoring and Assessment", "Land use"]}, "links": [{"href": "https://doi.org/10.5194/hess-19-4201-2015"}, {"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-19-4201-2015", "name": "item", "description": "10.5194/hess-19-4201-2015", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/hess-19-4201-2015"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-10-20T00:00:00Z"}}, {"id": "10.5194/hess-2019-105", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:21:34Z", "type": "Journal Article", "created": "2019-04-23", "title": "An evapotranspiration model self-calibrated from remotely sensed surface soil moisture, land surface temperature and vegetation cover fraction: application to disaggregated SMOS and MODIS data", "description": "

Abstract. Thermal-based two-source energy balance modeling is very useful for estimating the land evapotranspiration (ET) at a wide range of spatial and temporal scales. However, the land surface temperature (LST) is not sufficient for constraining simultaneously both soil and vegetation flux components in such a way that assumptions (on either the soil or the vegetation fluxes) are commonly required. To avoid such assumptions, a new energy balance model (TSEB-SM) was recently developed in Ait Hssaine et al. (2018a) to integrate the microwave-derived near-surface soil moisture (SM), in addition to the thermal-derived LST and vegetation cover fraction (fc). Whereas, TSEB-SM has been recently tested using in-situ measurements, the objective of this paper is to evaluate the performance of TSEB-SM in real-life using 1\u2009km resolution MODIS (Moderate resolution imaging spectroradiometer) LST and fc data and the 1\u2009km resolution SM data disaggregated from SMOS (Soil Moisture and Ocean Salinity) observations by using DisPATCh. The approach is applied during a four-year period (2014\u20132018) over a rainfed wheat field in the Tensift basin, central Morocco, during a four-year period (2014\u20132018). The field was seeded for the 2014\u20132015 (S1), 2016\u20132017 (S2) and 2017\u20132018 (S3) agricultural season, while it was not ploughed (remained as bare soil) during the 2015\u20132016 (B1) agricultural season. The mean retrieved values of (arss, brss) calculated for the entire study period using satellite data are (7.32, 4.58). The daily calibrated \u03b1PT ranges between 0 and 1.38 for both S1 and S2. Its temporal variability is mainly attributed to the rainfall distribution along the agricultural season. For S3, the daily retrieved \u03b1PT remains at a mostly constant value (\u223c\u20090.7) throughout the study period, because of the lack of clear sky disaggregated SM and LST observations during this season. Compared to eddy covariance measurements, TSEB driven only by LST and fc data significantly overestimates latent heat fluxes for the four seasons. The overall mean bias values are 119, 94, 128 and 181\u2009W/m2 for S1, S2, S3 and B1 respectively. In contrast, these errors are much reduced when using TSEB-SM (SM and LST combined data) with the mean bias values estimated as 39, 4, 7 and 62\u2009W/m2 for S1, S2, S3 and B1 respectively.

", "keywords": ["Technology", "Atmospheric sciences", "550", "Soil Moisture", "0208 environmental biotechnology", "02 engineering and technology", "Environmental technology. Sanitary engineering", "01 natural sciences", "Engineering", "Geography. Anthropology. Recreation", "Pathology", "GE1-350", "TD1-1066", "2. Zero hunger", "Global and Planetary Change", "Water content", "Evapotranspiration", "Geography", "Ecology", "T", "Soil Water Retention", "Moderate-resolution imaging spectroradiometer", "Hydrology (agriculture)", "Geology", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "6. Clean water", "Aerospace engineering", "Physical Sciences", "Medicine", "environment", "Vegetation (pathology)", "Latent heat", "Mechanics and Transport in Unsaturated Soils", "Land cover", "Environmental Engineering", "0207 environmental engineering", "Energy balance", "Thermal Effects on Soil", "Environmental science", "[SDU] Sciences of the Universe [physics]", "G", "Meteorology", "Civil engineering", "14. Life underwater", "[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology", "Biology", "Civil and Structural Engineering", "0105 earth and related environmental sciences", "Global Forest Drought Response and Climate Change", "FOS: Environmental engineering", "FOS: Earth and related environmental sciences", "15. Life on land", "Remote Sensing of Soil Moisture", "Environmental sciences", "Geotechnical engineering", "[SDU]Sciences of the Universe [physics]", "Satellite", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Land use", "[SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "FOS: Civil engineering"]}, "links": [{"href": "https://hess.copernicus.org/articles/24/1781/2020/hess-24-1781-2020.pdf"}, {"href": "https://doi.org/10.5194/hess-2019-105"}, {"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-2019-105", "name": "item", "description": "10.5194/hess-2019-105", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/hess-2019-105"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-04-23T00:00:00Z"}}, {"id": "10.5194/hess-24-1781-2020", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:21:35Z", "type": "Journal Article", "created": "2019-04-23", "title": "An evapotranspiration model self-calibrated from remotely sensed surface soil moisture, land surface temperature and vegetation cover fraction: application to disaggregated SMOS and MODIS data", "description": "

Abstract. Thermal-based two-source energy balance modeling is very useful for estimating the land evapotranspiration (ET) at a wide range of spatial and temporal scales. However, the land surface temperature (LST) is not sufficient for constraining simultaneously both soil and vegetation flux components in such a way that assumptions (on either the soil or the vegetation fluxes) are commonly required. To avoid such assumptions, a new energy balance model (TSEB-SM) was recently developed in Ait Hssaine et al. (2018a) to integrate the microwave-derived near-surface soil moisture (SM), in addition to the thermal-derived LST and vegetation cover fraction (fc). Whereas, TSEB-SM has been recently tested using in-situ measurements, the objective of this paper is to evaluate the performance of TSEB-SM in real-life using 1\uffe2\uff80\uff89km resolution MODIS (Moderate resolution imaging spectroradiometer) LST and fc data and the 1\uffe2\uff80\uff89km resolution SM data disaggregated from SMOS (Soil Moisture and Ocean Salinity) observations by using DisPATCh. The approach is applied during a four-year period (2014\uffe2\uff80\uff932018) over a rainfed wheat field in the Tensift basin, central Morocco, during a four-year period (2014\uffe2\uff80\uff932018). The field was seeded for the 2014\uffe2\uff80\uff932015 (S1), 2016\uffe2\uff80\uff932017 (S2) and 2017\uffe2\uff80\uff932018 (S3) agricultural season, while it was not ploughed (remained as bare soil) during the 2015\uffe2\uff80\uff932016 (B1) agricultural season. The mean retrieved values of (arss, brss) calculated for the entire study period using satellite data are (7.32, 4.58). The daily calibrated \uffce\uffb1PT ranges between 0 and 1.38 for both S1 and S2. Its temporal variability is mainly attributed to the rainfall distribution along the agricultural season. For S3, the daily retrieved \uffce\uffb1PT remains at a mostly constant value (\uffe2\uff88\uffbc\uffe2\uff80\uff890.7) throughout the study period, because of the lack of clear sky disaggregated SM and LST observations during this season. Compared to eddy covariance measurements, TSEB driven only by LST and fc data significantly overestimates latent heat fluxes for the four seasons. The overall mean bias values are 119, 94, 128 and 181\uffe2\uff80\uff89W/m2 for S1, S2, S3 and B1 respectively. In contrast, these errors are much reduced when using TSEB-SM (SM and LST combined data) with the mean bias values estimated as 39, 4, 7 and 62\uffe2\uff80\uff89W/m2 for S1, S2, S3 and B1 respectively.

", "keywords": ["Technology", "Atmospheric sciences", "550", "Soil Moisture", "0208 environmental biotechnology", "02 engineering and technology", "Environmental technology. Sanitary engineering", "01 natural sciences", "Engineering", "Geography. Anthropology. Recreation", "Pathology", "GE1-350", "TD1-1066", "2. Zero hunger", "Global and Planetary Change", "Water content", "Evapotranspiration", "Geography", "Ecology", "T", "Soil Water Retention", "Moderate-resolution imaging spectroradiometer", "Hydrology (agriculture)", "Geology", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "6. Clean water", "Aerospace engineering", "Physical Sciences", "Medicine", "environment", "Vegetation (pathology)", "Latent heat", "Mechanics and Transport in Unsaturated Soils", "Land cover", "Environmental Engineering", "0207 environmental engineering", "Energy balance", "Thermal Effects on Soil", "Environmental science", "[SDU] Sciences of the Universe [physics]", "G", "Meteorology", "Civil engineering", "14. Life underwater", "[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology", "Biology", "Civil and Structural Engineering", "0105 earth and related environmental sciences", "Global Forest Drought Response and Climate Change", "FOS: Environmental engineering", "FOS: Earth and related environmental sciences", "15. Life on land", "Remote Sensing of Soil Moisture", "Environmental sciences", "Geotechnical engineering", "[SDU]Sciences of the Universe [physics]", "Satellite", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Land use", "[SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "FOS: Civil engineering"]}, "links": [{"href": "https://hess.copernicus.org/articles/24/1781/2020/hess-24-1781-2020.pdf"}, {"href": "https://doi.org/10.5194/hess-24-1781-2020"}, {"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-24-1781-2020", "name": "item", "description": "10.5194/hess-24-1781-2020", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/hess-24-1781-2020"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-04-23T00:00:00Z"}}, {"id": "10.5194/hess-24-3789-2020", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:21:35Z", "type": "Journal Article", "created": "2020-07-27", "title": "Evapotranspiration partition using the multiple energy balance version of the ISBA-A-gs land surface model over two irrigated crops in a semi-arid Mediterranean region (Marrakech, Morocco)", "description": "

Abstract. The main objective of this work is to question the representation of the energy budget in soil\u2013vegetation\u2013atmosphere transfer\u00a0(SVAT) models for the prediction of the turbulent fluxes in the case of irrigated crops with a complex structure (row) and under strong transient hydric regimes due to irrigation. To this end, the Interaction between Soil, Biosphere, and Atmosphere\u00a0(ISBA-A-gs) is evaluated at a complex open olive orchard and, for the purposes of comparison, on a winter wheat field taken as an example of a homogeneous canopy. The initial version of ISBA-A-gs, based on a composite energy budget (hereafter ISBA-1P for one\u00a0patch), is compared to the new multiple energy balance\u00a0(MEB) version of ISBA that represents a double source arising from the vegetation located above the soil layer. In addition, a patch representation corresponding to two adjacent, uncoupled source schemes (hereafter ISBA-2P for two\u00a0patches) is also considered for the olive orchard. Continuous observations of evapotranspiration\u00a0(ET), with an eddy covariance system and plant transpiration\u00a0(Tr) with sap flow and isotopic methods were used to evaluate the three representations. A preliminary sensitivity analyses showed a strong sensitivity to the parameters related to turbulence in the canopy introduced in the new ISBA\u2013MEB version. For wheat, the ability of the single- and dual-source configuration to reproduce the composite soil\u2013vegetation heat fluxes was very similar; the root mean square error (RMSE) differences between ISBA-1P, ISBA-2P and ISBA\u2013MEB did not exceed 10\u2009W\u2009m\u22122 for the latent heat flux. These results showed that a composite energy balance in homogeneous covers is sufficient to reproduce the total convective fluxes. The two configurations are also fairly close to the isotopic observations of transpiration in spite of a light underestimation (overestimation) of ISBA-1P\u00a0(ISBA\u2013MEB). At the olive orchard, contrasting results are obtained. The dual-source configurations, including both the uncoupled\u00a0(ISBA-2P) and the coupled\u00a0(ISBA\u2013MEB) representations, outperformed the single-source version\u00a0(ISBA-1P), with slightly better results for ISBA\u2013MEB in predicting both total heat fluxes and evapotranspiration partition. Concerning plant transpiration in particular, the coupled approach ISBA\u2013MEB provides better results than ISBA-1P and, to a lesser extent, ISBA-2P with RMSEs of\u00a01.60, 0.90, and 0.70\u2009mm\u2009d\u22121 and R2\u00a0of\u00a00.43, 0.69, and\u00a00.70\u00a0for ISBA-1P, ISBA-2P and ISBA\u2013MEB, respectively. In addition, it is shown that the acceptable predictions of composite convective fluxes by ISBA-2P for the olive orchard are obtained for the wrong reasons as neither of the two patches is in agreement with the observations because of a bad spatial distribution of the roots and a lack of incoming radiation screening for the bare soil patch. This work shows that composite convection fluxes predicted by the SURFace EXternalis\u00e9e (SURFEX) platform and the partition of evapotranspiration in a highly transient regime due to irrigation is improved for moderately open tree canopies by the new coupled dual-source ISBA\u2013MEB model. It also points out the need for further local-scale evaluations on different crops of various geometry (more open rainfed agriculture or a denser, intensive olive orchard) to provide adequate parameterisation to global database, such as ECOCLIMAP-II, in the view of a global application of the ISBA\u2013MEB model.

", "keywords": ["Technology", "Atmospheric Science", "Atmospheric sciences", "550", "[SDV]Life Sciences [q-bio]", "0207 environmental engineering", "02 engineering and technology", "Energy balance", "Eddy covariance", "Environmental technology. Sanitary engineering", "01 natural sciences", "Environmental science", "G", "Meteorology", "Geography. Anthropology. Recreation", "GE1-350", "Biology", "TD1-1066", "Ecosystem", "0105 earth and related environmental sciences", "Soil science", "2. Zero hunger", "Global and Planetary Change", "Evapotranspiration", "Ecology", "Global Forest Drought Response and Climate Change", "T", "Causes and Impacts of Climate Change Over Millennia", "Physics", "Hydrology (agriculture)", "Geology", "FOS: Earth and related environmental sciences", "15. Life on land", "Agronomy", "[SDV] Life Sciences [q-bio]", "Environmental sciences", "Earth and Planetary Sciences", "Geotechnical engineering", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Physical Sciences", "Global Drought Monitoring and Assessment", "Leaf area index", "Thermodynamics", "Global Vegetation Models"]}, "links": [{"href": "https://doi.org/10.5194/hess-24-3789-2020"}, {"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-24-3789-2020", "name": "item", "description": "10.5194/hess-24-3789-2020", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/hess-24-3789-2020"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-10-15T00:00:00Z"}}, {"id": "10.5194/isprs-archives-xlii-3-w6-9-2019", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:21:35Z", "type": "Journal Article", "created": "2019-07-29", "title": "EVAPOTRANSPIRATION AND EVAPORATION/TRANSPIRATION RETRIEVAL USING DUAL-SOURCE SURFACE ENERGY BALANCE MODELS INTEGRATING VIS/NIR/TIR DATA WITH SATELLITE SURFACE SOIL MOISTURE INFORMATION", "description": "

Abstract. Evapotranspiration is an important component of the water cycle. For the agronomic management and ecosystem health monitoring, it is also important to provide an estimate of evapotranspiration components, i.e. transpiration and soil evaporation. To do so, Thermal InfraRed data can be used with dual-source surface energy balance models, because they solve separate energy budgets for the soil and the vegetation. But those models rely on specific assumptions on raw levels of plant water stress to get both components (evaporation and transpiration) out of a single source of information, namely the surface temperature. Additional information from remote sensing data are thus required. This works evaluates the ability of the SPARSE dual-source energy balance model to compute not only total evapotranspiration, but also water stress and transpiration/evaporation components, using either the sole surface temperature as a remote sensing driver, or a combination of surface temperature and soil moisture level derived from microwave data. Flux data at an experimental plot in semi-arid Morocco is used to assess this potentiality and shows the increased robustness of both the total evapotranspiration and partitioning retrieval performances. This work is realized within the frame of the Phase A activities for the TRISHNA CNES/ISRO Thermal Infra-Red satellite mission.

", "keywords": ["Technology", "Environmental Engineering", "550", "Ecosystem Resilience", "Soil Moisture", "Evaporation", "Energy balance", "Biochemistry", "Environmental science", "Transpiration", "Meteorology", "Artificial Intelligence", "Soil water", "Thermal Infrared", "Applied optics. Photonics", "Machine Learning Methods for Solar Radiation Forecasting", "Photosynthesis", "TRISHNA", "Water balance", "Biology", "Soil science", "Global and Planetary Change", "Water content", "Evapotranspiration", "Geography", "Ecology", "Global Forest Drought Response and Climate Change", "T", "FOS: Environmental engineering", "Geology", "FOS: Earth and related environmental sciences", "Remote sensing", "15. Life on land", "Engineering (General). Civil engineering (General)", "Remote Sensing of Soil Moisture", "6. Clean water", "TA1501-1820", "[SDE.MCG] Environmental Sciences/Global Changes", "Chemistry", "Geotechnical engineering", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Physical Sciences", "Computer Science", "TA1-2040", "Water cycle"]}, "links": [{"href": "https://doi.org/10.5194/isprs-archives-xlii-3-w6-9-2019"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/The%20International%20Archives%20of%20the%20Photogrammetry%2C%20Remote%20Sensing%20and%20Spatial%20Information%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/isprs-archives-xlii-3-w6-9-2019", "name": "item", "description": "10.5194/isprs-archives-xlii-3-w6-9-2019", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/isprs-archives-xlii-3-w6-9-2019"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-07-26T00:00:00Z"}}, {"id": "10.60692/7hann-x9205", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:23:55Z", "type": "Journal Article", "created": "2020-12-08", "title": "Linkages between Rainfed Cereal Production and Agricultural Drought through Remote Sensing Indices and a Land Data Assimilation System: A Case Study in Morocco", "description": "

In Morocco, cereal production shows high interannual variability due to uncertain rainfall and recurrent drought periods. Considering the socioeconomic importance of cereal for the country, there is a serious need to characterize the impact of drought on cereal yields. In this study, drought is assessed through (1) indices derived from remote sensing data (the vegetation condition index (VCI), temperature condition index (TCI), vegetation health ind ex (VHI), soil moisture condition index (SMCI) and soil water index for different soil layers (SWI)) and (2) key land surface variables (Land Area Index (LAI), soil moisture (SM) at different depths, soil evaporation and plant transpiration) from a Land Data Assimilation System (LDAS) over 2000\u20132017. A lagged correlation analysis was conducted to assess the relationships between the drought indices and cereal yield at monthly time scales. The VCI and LAI around the heading stage (March-April) are highly linked to yield for all provinces (R = 0.94 for the Khemisset province), while a high link for TCI occurs during the development stage in January-February (R = 0.83 for the Beni Mellal province). Interestingly, indices related to soil moisture in the superficial soil layer are correlated with yield earlier in the season around the emergence stage (December). The results demonstrate the clear added value of using an LDAS compared with using a remote sensing product alone, particularly concerning the soil moisture in the root-zone, considered a key variable for yield production, that is not directly observable from space. The time scale of integration is also discussed. By integrating the indices on the main phenological stages of wheat using a dynamic threshold approach instead of the monthly time scale, the correlation between indices and yield increased by up to 14%. In addition, the contributions of VCI and TCI to VHI were optimized by using yield anomalies as proxies for drought. This study opens perspectives for the development of drought early warning systems in Morocco and over North Africa, as well as for seasonal crop yield forecasting.

", "keywords": ["[SDE] Environmental Sciences", "550", "Science", "0207 environmental engineering", "Agricultural drought", "02 engineering and technology", "01 natural sciences", "630", "Environmental science", "remote sensing", "Land data assimilation systems", "Pathology", "assimilation systems", "Biology", "land data assimilation systems", "0105 earth and related environmental sciences", "2. Zero hunger", "Global and Planetary Change", "Vegetation Monitoring", "Water content", "Ecology", "Drought", "Global Forest Drought Response and Climate Change", "Q", "Hydrology (agriculture)", "Geology", "cereal yield", "Remote Sensing in Vegetation Monitoring and Phenology", "FOS: Earth and related environmental sciences", "Remote sensing", "semiarid region", "15. Life on land", "agricultural drought", "Agronomy", "6. Clean water", "Cereal yield", "Geotechnical engineering", "13. Climate action", "FOS: Biological sciences", "[SDE]Environmental Sciences", "Global Drought Monitoring and Assessment", "Environmental Science", "Physical Sciences", "Leaf area index", "Medicine", "Semiarid region", "land data", "Vegetation (pathology)"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/12/24/4018/pdf"}, {"href": "https://www.mdpi.com/2072-4292/12/24/4018/pdf"}, {"href": "https://doi.org/10.60692/7hann-x9205"}, {"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": "10.60692/7hann-x9205", "name": "item", "description": "10.60692/7hann-x9205", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.60692/7hann-x9205"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-12-08T00:00:00Z"}}, {"id": "10.60692/g4rcv-eqz54", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:23:55Z", "type": "Journal Article", "created": "2019-04-23", "title": "An evapotranspiration model self-calibrated from remotely sensed surface soil moisture, land surface temperature and vegetation cover fraction: application to disaggregated SMOS and MODIS data", "description": "

Abstract. Thermal-based two-source energy balance modeling is very useful for estimating the land evapotranspiration (ET) at a wide range of spatial and temporal scales. However, the land surface temperature (LST) is not sufficient for constraining simultaneously both soil and vegetation flux components in such a way that assumptions (on either the soil or the vegetation fluxes) are commonly required. To avoid such assumptions, a new energy balance model (TSEB-SM) was recently developed in Ait Hssaine et al. (2018a) to integrate the microwave-derived near-surface soil moisture (SM), in addition to the thermal-derived LST and vegetation cover fraction (fc). Whereas, TSEB-SM has been recently tested using in-situ measurements, the objective of this paper is to evaluate the performance of TSEB-SM in real-life using 1\u2009km resolution MODIS (Moderate resolution imaging spectroradiometer) LST and fc data and the 1\u2009km resolution SM data disaggregated from SMOS (Soil Moisture and Ocean Salinity) observations by using DisPATCh. The approach is applied during a four-year period (2014\u20132018) over a rainfed wheat field in the Tensift basin, central Morocco, during a four-year period (2014\u20132018). The field was seeded for the 2014\u20132015 (S1), 2016\u20132017 (S2) and 2017\u20132018 (S3) agricultural season, while it was not ploughed (remained as bare soil) during the 2015\u20132016 (B1) agricultural season. The mean retrieved values of (arss, brss) calculated for the entire study period using satellite data are (7.32, 4.58). The daily calibrated \u03b1PT ranges between 0 and 1.38 for both S1 and S2. Its temporal variability is mainly attributed to the rainfall distribution along the agricultural season. For S3, the daily retrieved \u03b1PT remains at a mostly constant value (\u223c\u20090.7) throughout the study period, because of the lack of clear sky disaggregated SM and LST observations during this season. Compared to eddy covariance measurements, TSEB driven only by LST and fc data significantly overestimates latent heat fluxes for the four seasons. The overall mean bias values are 119, 94, 128 and 181\u2009W/m2 for S1, S2, S3 and B1 respectively. In contrast, these errors are much reduced when using TSEB-SM (SM and LST combined data) with the mean bias values estimated as 39, 4, 7 and 62\u2009W/m2 for S1, S2, S3 and B1 respectively.

", "keywords": ["Technology", "Atmospheric sciences", "550", "Soil Moisture", "0208 environmental biotechnology", "02 engineering and technology", "Environmental technology. Sanitary engineering", "01 natural sciences", "Engineering", "Geography. Anthropology. Recreation", "Pathology", "GE1-350", "TD1-1066", "2. Zero hunger", "Global and Planetary Change", "Water content", "Evapotranspiration", "Geography", "Ecology", "T", "Soil Water Retention", "Moderate-resolution imaging spectroradiometer", "Hydrology (agriculture)", "Geology", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "6. Clean water", "Aerospace engineering", "Physical Sciences", "Medicine", "environment", "Vegetation (pathology)", "Latent heat", "Mechanics and Transport in Unsaturated Soils", "Land cover", "Environmental Engineering", "0207 environmental engineering", "Energy balance", "Thermal Effects on Soil", "Environmental science", "[SDU] Sciences of the Universe [physics]", "G", "Meteorology", "Civil engineering", "14. Life underwater", "[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology", "Biology", "Civil and Structural Engineering", "0105 earth and related environmental sciences", "Global Forest Drought Response and Climate Change", "FOS: Environmental engineering", "FOS: Earth and related environmental sciences", "15. Life on land", "Remote Sensing of Soil Moisture", "Environmental sciences", "Geotechnical engineering", "[SDU]Sciences of the Universe [physics]", "Satellite", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Land use", "[SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "FOS: Civil engineering"]}, "links": [{"href": "https://hess.copernicus.org/articles/24/1781/2020/hess-24-1781-2020.pdf"}, {"href": "https://doi.org/10.60692/g4rcv-eqz54"}, {"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": "10.60692/g4rcv-eqz54", "name": "item", "description": "10.60692/g4rcv-eqz54", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.60692/g4rcv-eqz54"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-04-23T00:00:00Z"}}, {"id": "10.60692/khb9k-9s285", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:23:55Z", "type": "Journal Article", "created": "2020-07-27", "title": "Evapotranspiration partition using the multiple energy balance version of the ISBA-A-gs land surface model over two irrigated crops in a semi-arid Mediterranean region (Marrakech, Morocco)", "description": "

Abstract. The main objective of this work is to question the representation of the energy budget in soil\u2013vegetation\u2013atmosphere transfer\u00a0(SVAT) models for the prediction of the turbulent fluxes in the case of irrigated crops with a complex structure (row) and under strong transient hydric regimes due to irrigation. To this end, the Interaction between Soil, Biosphere, and Atmosphere\u00a0(ISBA-A-gs) is evaluated at a complex open olive orchard and, for the purposes of comparison, on a winter wheat field taken as an example of a homogeneous canopy. The initial version of ISBA-A-gs, based on a composite energy budget (hereafter ISBA-1P for one\u00a0patch), is compared to the new multiple energy balance\u00a0(MEB) version of ISBA that represents a double source arising from the vegetation located above the soil layer. In addition, a patch representation corresponding to two adjacent, uncoupled source schemes (hereafter ISBA-2P for two\u00a0patches) is also considered for the olive orchard. Continuous observations of evapotranspiration\u00a0(ET), with an eddy covariance system and plant transpiration\u00a0(Tr) with sap flow and isotopic methods were used to evaluate the three representations. A preliminary sensitivity analyses showed a strong sensitivity to the parameters related to turbulence in the canopy introduced in the new ISBA\u2013MEB version. For wheat, the ability of the single- and dual-source configuration to reproduce the composite soil\u2013vegetation heat fluxes was very similar; the root mean square error (RMSE) differences between ISBA-1P, ISBA-2P and ISBA\u2013MEB did not exceed 10\u2009W\u2009m\u22122 for the latent heat flux. These results showed that a composite energy balance in homogeneous covers is sufficient to reproduce the total convective fluxes. The two configurations are also fairly close to the isotopic observations of transpiration in spite of a light underestimation (overestimation) of ISBA-1P\u00a0(ISBA\u2013MEB). At the olive orchard, contrasting results are obtained. The dual-source configurations, including both the uncoupled\u00a0(ISBA-2P) and the coupled\u00a0(ISBA\u2013MEB) representations, outperformed the single-source version\u00a0(ISBA-1P), with slightly better results for ISBA\u2013MEB in predicting both total heat fluxes and evapotranspiration partition. Concerning plant transpiration in particular, the coupled approach ISBA\u2013MEB provides better results than ISBA-1P and, to a lesser extent, ISBA-2P with RMSEs of\u00a01.60, 0.90, and 0.70\u2009mm\u2009d\u22121 and R2\u00a0of\u00a00.43, 0.69, and\u00a00.70\u00a0for ISBA-1P, ISBA-2P and ISBA\u2013MEB, respectively. In addition, it is shown that the acceptable predictions of composite convective fluxes by ISBA-2P for the olive orchard are obtained for the wrong reasons as neither of the two patches is in agreement with the observations because of a bad spatial distribution of the roots and a lack of incoming radiation screening for the bare soil patch. This work shows that composite convection fluxes predicted by the SURFace EXternalis\u00e9e (SURFEX) platform and the partition of evapotranspiration in a highly transient regime due to irrigation is improved for moderately open tree canopies by the new coupled dual-source ISBA\u2013MEB model. It also points out the need for further local-scale evaluations on different crops of various geometry (more open rainfed agriculture or a denser, intensive olive orchard) to provide adequate parameterisation to global database, such as ECOCLIMAP-II, in the view of a global application of the ISBA\u2013MEB model.

", "keywords": ["Technology", "Atmospheric Science", "Atmospheric sciences", "550", "[SDV]Life Sciences [q-bio]", "0207 environmental engineering", "02 engineering and technology", "Energy balance", "Eddy covariance", "Environmental technology. Sanitary engineering", "01 natural sciences", "Environmental science", "G", "Meteorology", "Geography. Anthropology. Recreation", "GE1-350", "Biology", "TD1-1066", "Ecosystem", "0105 earth and related environmental sciences", "Soil science", "2. Zero hunger", "Global and Planetary Change", "Evapotranspiration", "Ecology", "Global Forest Drought Response and Climate Change", "T", "Causes and Impacts of Climate Change Over Millennia", "Physics", "Hydrology (agriculture)", "Geology", "FOS: Earth and related environmental sciences", "15. Life on land", "Agronomy", "[SDV] Life Sciences [q-bio]", "Environmental sciences", "Earth and Planetary Sciences", "Geotechnical engineering", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Physical Sciences", "Global Drought Monitoring and Assessment", "Leaf area index", "Thermodynamics", "Global Vegetation Models"]}, "links": [{"href": "https://doi.org/10.60692/khb9k-9s285"}, {"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": "10.60692/khb9k-9s285", "name": "item", "description": "10.60692/khb9k-9s285", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.60692/khb9k-9s285"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-10-15T00:00:00Z"}}, {"id": "10.60692/t1jsz-vm842", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:23:55Z", "type": "Journal Article", "created": "2019-07-29", "title": "EVAPOTRANSPIRATION AND EVAPORATION/TRANSPIRATION RETRIEVAL USING DUAL-SOURCE SURFACE ENERGY BALANCE MODELS INTEGRATING VIS/NIR/TIR DATA WITH SATELLITE SURFACE SOIL MOISTURE INFORMATION", "description": "

Abstract. Evapotranspiration is an important component of the water cycle. For the agronomic management and ecosystem health monitoring, it is also important to provide an estimate of evapotranspiration components, i.e. transpiration and soil evaporation. To do so, Thermal InfraRed data can be used with dual-source surface energy balance models, because they solve separate energy budgets for the soil and the vegetation. But those models rely on specific assumptions on raw levels of plant water stress to get both components (evaporation and transpiration) out of a single source of information, namely the surface temperature. Additional information from remote sensing data are thus required. This works evaluates the ability of the SPARSE dual-source energy balance model to compute not only total evapotranspiration, but also water stress and transpiration/evaporation components, using either the sole surface temperature as a remote sensing driver, or a combination of surface temperature and soil moisture level derived from microwave data. Flux data at an experimental plot in semi-arid Morocco is used to assess this potentiality and shows the increased robustness of both the total evapotranspiration and partitioning retrieval performances. This work is realized within the frame of the Phase A activities for the TRISHNA CNES/ISRO Thermal Infra-Red satellite mission.

", "keywords": ["Technology", "Environmental Engineering", "550", "Ecosystem Resilience", "Soil Moisture", "Evaporation", "Energy balance", "Biochemistry", "Environmental science", "Transpiration", "Meteorology", "Artificial Intelligence", "Soil water", "Thermal Infrared", "Applied optics. Photonics", "Machine Learning Methods for Solar Radiation Forecasting", "Photosynthesis", "TRISHNA", "Water balance", "Biology", "Soil science", "Global and Planetary Change", "Water content", "Evapotranspiration", "Geography", "Ecology", "Global Forest Drought Response and Climate Change", "T", "FOS: Environmental engineering", "Geology", "FOS: Earth and related environmental sciences", "Remote sensing", "15. Life on land", "Engineering (General). Civil engineering (General)", "Remote Sensing of Soil Moisture", "6. Clean water", "TA1501-1820", "[SDE.MCG] Environmental Sciences/Global Changes", "Chemistry", "Geotechnical engineering", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Physical Sciences", "Computer Science", "TA1-2040", "Water cycle"]}, "links": [{"href": "https://doi.org/10.60692/t1jsz-vm842"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/The%20International%20Archives%20of%20the%20Photogrammetry%2C%20Remote%20Sensing%20and%20Spatial%20Information%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.60692/t1jsz-vm842", "name": "item", "description": "10.60692/t1jsz-vm842", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.60692/t1jsz-vm842"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-07-26T00:00:00Z"}}, {"id": "10459.1/60556", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:24:27Z", "type": "Journal Article", "created": "2017-11-10", "title": "Disaggregation of SMOS Soil Moisture to 100 m Resolution Using MODIS Optical/Thermal and Sentinel-1 Radar Data: Evaluation over a Bare Soil Site in Morocco", "description": "

The 40 km resolution SMOS (Soil Moisture and Ocean Salinity) soil moisture, previously disaggregated at a 1 km resolution using the DISPATCH (DISaggregation based on Physical And Theoretical scale CHange) method based on MODIS optical/thermal data, is further disaggregated to 100 m resolution using Sentinel-1 backscattering coefficient (\u03c3\u00b0). For this purpose, three distinct radar-based disaggregation methods are tested by linking the spatio-temporal variability of \u03c3\u00b0 and soil moisture data at the 1 km and 100 m resolution. The three methods are: (1) the weight method, which estimates soil moisture at 100 m resolution at a certain time as a function of \u03c3\u00b0 ratio (100 m to 1 km resolution) and the 1 km DISPATCH products of the same time; (2) the regression method which estimates soil moisture as a function of \u03c3\u00b0 where the regression parameters (e.g., intercept and slope) vary in space and time; and (3) the Cumulative Distribution Function (CDF) method, which estimates 100 m resolution soil moisture from the cumulative probability of 100 m resolution backscatter and the maximum to minimum 1 km resolution (DISPATCH) soil moisture difference. In each case, disaggregation results are evaluated against in situ measurements collected between 1 January 2016 and 11 October 2016 over a bare soil site in central Morocco. The determination coefficient (R2) between 1 km resolution DISPATCH and localized in situ soil moisture is 0.31. The regression and CDF methods have marginal effect on improving the DISPATCH accuracy at the station scale with a R2 between remotely sensed and in situ soil moisture of 0.29 and 0.34, respectively. By contrast, the weight method significantly improves the correlation between remotely sensed and in situ soil moisture with a R2 of 0.52. Likewise, the soil moisture estimates show low root mean square difference with in situ measurements (RMSD= 0.032 m3 m\u22123).

", "keywords": ["soil moisture and ocean salinity satellite (SMOS)", "Atmospheric Science", "Artificial intelligence", "Environmental Engineering", "550", "Science", "Soil Moisture", "0211 other engineering and technologies", "Aerospace Engineering", "FOS: Mechanical engineering", "02 engineering and technology", "01 natural sciences", "Environmental science", "[SDU] Sciences of the Universe [physics]", "Engineering", "Meteorology", "DISPATCH", "Image resolution", "Arctic Permafrost Dynamics and Climate Change", "14. Life underwater", "Moisture", "0105 earth and related environmental sciences", "Soil science", "Water content", "Radar", "Geography", "soil moisture and ocean salinity satellite (SMOS); DISPATCH; radar; Sentinel-1; disaggregation; soil moisture", "Soilmoisture and ocean salinity satellite (SMOS)", "Synthetic Aperture Radar Interferometry", "Q", "FOS: Environmental engineering", "Geology", "FOS: Earth and related environmental sciences", "Remote sensing", "Remote Sensing of Soil Moisture", "Surface Deformation Monitoring", "Computer science", "Earth and Planetary Sciences", "Groundwater Extraction", "Geotechnical engineering", "[SDU]Sciences of the Universe [physics]", "disaggregation", "Environmental Science", "Physical Sciences", "Sentinel-1", "soil moisture", "radar"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/9/11/1155/pdf"}, {"href": "https://doi.org/10459.1/60556"}, {"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": "10459.1/60556", "name": "item", "description": "10459.1/60556", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10459.1/60556"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-11-10T00:00:00Z"}}, {"id": "2158/1403973", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:25:13Z", "type": "Journal Article", "created": "2024-12-13", "title": "Comparative geotechnical analysis of slope stabilization through conventional, soil and water bioengineering, and combined solutions", "description": "The sustainable mitigation of hydrogeological hazard through the geotechnical stabilization of natural and artificial slopes is an ethical and technical goal of increasing global relevance. In this context, \u201cgray\u201d geotechnical stabilization solutions involving the use of inert materials, injections of cement mixtures and steel elements, have been prevalently used in the past decades and have thus come to define the present \u201cconventional\u201d approach. These solutions may meet engineering performance criteria but are unable to attain desirable sustainability standards. The practice of Soil and Water BioEngineering (SWBE) draws from ancient empirical experience and is rapidly gaining new momentum due to the increased focus on environmental protection and requalification. SWBE and can be effectively conducted through the design and implementation of nature-based solutions (NBS) by using living plants, alone or in combination with locally available materials, to improve the engineering performance of ecosystems while fostering an increase in their biodiversity and environmental value. The domain of applicability of NBS is limited to quasi-surficial instability phenomena, since the root systems which provide resistance to destabilizing forces are found mainly at shallow depths from ground surface. Moreover, biological and physical processes intervening in NBS result in the temporal variation of their mechanical resistance and engineering performance. \u201cCombined\u201d solutions involving the presence of \u2013 and synergy between - gray and green solutions may ensure the simultaneous attainment of safety and sustainability. This paper describes the conceptual standpoints and operational framework used for the comparative assessment of the engineering design performance of conventional, NBS, and combined solutions for a slope stabilization intervention on a site located near Florence, Italy. Stability is assessed quantitatively through limit equilibrium methods for multiple scenarios defined in terms of technological solutions, temporal stage, and level of engineering conservatism in design parameters. Temporal trends of the factors of safety against sliding are defined statistically and assessed qualitatively and quantitatively. The comparative analysis suggests that the combined solution provides the best option at the Montisoni site as it ensures sufficient short-terms, post-stabilization stability as well as increased stability overtime due to the improvement in the mechanical contribution of NBS components. The paper brings innovative contributions with respect to the equivalent geomechanical modeling of NBS and combined solutions in limit-equilibrium analyses and to the discussion of criteria to be considered in the assignment of design values in stability analyses.", "keywords": ["Geotechnical engineering; Bio-geotechnics; Slope stability; Soil and water bioengineering; Nature-based solutions; Statistics"]}, "links": [{"href": "https://flore.unifi.it/bitstream/2158/1403973/1/Uzielli%20et%20al.%202024%20-%20Comparative%20geotechnical%20analysis%20of%20slope%20stabilization.pdf"}, {"href": "https://doi.org/2158/1403973"}, {"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": "2158/1403973", "name": "item", "description": "2158/1403973", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2158/1403973"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-02-01T00:00:00Z"}}, {"id": "2767588274", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:25:23Z", "type": "Journal Article", "created": "2017-11-10", "title": "Disaggregation of SMOS Soil Moisture to 100 m Resolution Using MODIS Optical/Thermal and Sentinel-1 Radar Data: Evaluation over a Bare Soil Site in Morocco", "description": "

The 40 km resolution SMOS (Soil Moisture and Ocean Salinity) soil moisture, previously disaggregated at a 1 km resolution using the DISPATCH (DISaggregation based on Physical And Theoretical scale CHange) method based on MODIS optical/thermal data, is further disaggregated to 100 m resolution using Sentinel-1 backscattering coefficient (\u03c3\u00b0). For this purpose, three distinct radar-based disaggregation methods are tested by linking the spatio-temporal variability of \u03c3\u00b0 and soil moisture data at the 1 km and 100 m resolution. The three methods are: (1) the weight method, which estimates soil moisture at 100 m resolution at a certain time as a function of \u03c3\u00b0 ratio (100 m to 1 km resolution) and the 1 km DISPATCH products of the same time; (2) the regression method which estimates soil moisture as a function of \u03c3\u00b0 where the regression parameters (e.g., intercept and slope) vary in space and time; and (3) the Cumulative Distribution Function (CDF) method, which estimates 100 m resolution soil moisture from the cumulative probability of 100 m resolution backscatter and the maximum to minimum 1 km resolution (DISPATCH) soil moisture difference. In each case, disaggregation results are evaluated against in situ measurements collected between 1 January 2016 and 11 October 2016 over a bare soil site in central Morocco. The determination coefficient (R2) between 1 km resolution DISPATCH and localized in situ soil moisture is 0.31. The regression and CDF methods have marginal effect on improving the DISPATCH accuracy at the station scale with a R2 between remotely sensed and in situ soil moisture of 0.29 and 0.34, respectively. By contrast, the weight method significantly improves the correlation between remotely sensed and in situ soil moisture with a R2 of 0.52. Likewise, the soil moisture estimates show low root mean square difference with in situ measurements (RMSD= 0.032 m3 m\u22123).

", "keywords": ["soil moisture and ocean salinity satellite (SMOS)", "Atmospheric Science", "Artificial intelligence", "Environmental Engineering", "550", "Science", "Soil Moisture", "0211 other engineering and technologies", "Aerospace Engineering", "FOS: Mechanical engineering", "02 engineering and technology", "01 natural sciences", "Environmental science", "[SDU] Sciences of the Universe [physics]", "Engineering", "Meteorology", "DISPATCH", "Image resolution", "Arctic Permafrost Dynamics and Climate Change", "14. Life underwater", "Moisture", "0105 earth and related environmental sciences", "Soil science", "Water content", "Radar", "Geography", "soil moisture and ocean salinity satellite (SMOS); DISPATCH; radar; Sentinel-1; disaggregation; soil moisture", "Soilmoisture and ocean salinity satellite (SMOS)", "Synthetic Aperture Radar Interferometry", "Q", "FOS: Environmental engineering", "Geology", "FOS: Earth and related environmental sciences", "Remote sensing", "Remote Sensing of Soil Moisture", "Surface Deformation Monitoring", "Computer science", "Earth and Planetary Sciences", "Groundwater Extraction", "Geotechnical engineering", "[SDU]Sciences of the Universe [physics]", "disaggregation", "Environmental Science", "Physical Sciences", "Sentinel-1", "soil moisture", "radar"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/9/11/1155/pdf"}, {"href": "https://doi.org/2767588274"}, {"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": "2767588274", "name": "item", "description": "2767588274", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2767588274"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-11-10T00:00:00Z"}}, {"id": "2940609395", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:25:29Z", "type": "Journal Article", "created": "2019-04-23", "title": "An evapotranspiration model self-calibrated from remotely sensed surface soil moisture, land surface temperature and vegetation cover fraction: application to disaggregated SMOS and MODIS data", "description": "

Abstract. Thermal-based two-source energy balance modeling is very useful for estimating the land evapotranspiration (ET) at a wide range of spatial and temporal scales. However, the land surface temperature (LST) is not sufficient for constraining simultaneously both soil and vegetation flux components in such a way that assumptions (on either the soil or the vegetation fluxes) are commonly required. To avoid such assumptions, a new energy balance model (TSEB-SM) was recently developed in Ait Hssaine et al. (2018a) to integrate the microwave-derived near-surface soil moisture (SM), in addition to the thermal-derived LST and vegetation cover fraction (fc). Whereas, TSEB-SM has been recently tested using in-situ measurements, the objective of this paper is to evaluate the performance of TSEB-SM in real-life using 1\u2009km resolution MODIS (Moderate resolution imaging spectroradiometer) LST and fc data and the 1\u2009km resolution SM data disaggregated from SMOS (Soil Moisture and Ocean Salinity) observations by using DisPATCh. The approach is applied during a four-year period (2014\u20132018) over a rainfed wheat field in the Tensift basin, central Morocco, during a four-year period (2014\u20132018). The field was seeded for the 2014\u20132015 (S1), 2016\u20132017 (S2) and 2017\u20132018 (S3) agricultural season, while it was not ploughed (remained as bare soil) during the 2015\u20132016 (B1) agricultural season. The mean retrieved values of (arss, brss) calculated for the entire study period using satellite data are (7.32, 4.58). The daily calibrated \u03b1PT ranges between 0 and 1.38 for both S1 and S2. Its temporal variability is mainly attributed to the rainfall distribution along the agricultural season. For S3, the daily retrieved \u03b1PT remains at a mostly constant value (\u223c\u20090.7) throughout the study period, because of the lack of clear sky disaggregated SM and LST observations during this season. Compared to eddy covariance measurements, TSEB driven only by LST and fc data significantly overestimates latent heat fluxes for the four seasons. The overall mean bias values are 119, 94, 128 and 181\u2009W/m2 for S1, S2, S3 and B1 respectively. In contrast, these errors are much reduced when using TSEB-SM (SM and LST combined data) with the mean bias values estimated as 39, 4, 7 and 62\u2009W/m2 for S1, S2, S3 and B1 respectively.

", "keywords": ["Technology", "Atmospheric sciences", "550", "Soil Moisture", "0208 environmental biotechnology", "02 engineering and technology", "Environmental technology. Sanitary engineering", "01 natural sciences", "Engineering", "Geography. Anthropology. Recreation", "Pathology", "GE1-350", "TD1-1066", "2. Zero hunger", "Global and Planetary Change", "Water content", "Evapotranspiration", "Geography", "Ecology", "T", "Soil Water Retention", "Moderate-resolution imaging spectroradiometer", "Hydrology (agriculture)", "Geology", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "6. Clean water", "Aerospace engineering", "Physical Sciences", "Medicine", "environment", "Vegetation (pathology)", "Latent heat", "Mechanics and Transport in Unsaturated Soils", "Land cover", "Environmental Engineering", "0207 environmental engineering", "Energy balance", "Thermal Effects on Soil", "Environmental science", "[SDU] Sciences of the Universe [physics]", "G", "Meteorology", "Civil engineering", "14. Life underwater", "[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology", "Biology", "Civil and Structural Engineering", "0105 earth and related environmental sciences", "Global Forest Drought Response and Climate Change", "FOS: Environmental engineering", "FOS: Earth and related environmental sciences", "15. Life on land", "Remote Sensing of Soil Moisture", "Environmental sciences", "Geotechnical engineering", "[SDU]Sciences of the Universe [physics]", "Satellite", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Land use", "[SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "FOS: Civil engineering"]}, "links": [{"href": "https://hess.copernicus.org/articles/24/1781/2020/hess-24-1781-2020.pdf"}, {"href": "https://doi.org/2940609395"}, {"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": "2940609395", "name": "item", "description": "2940609395", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2940609395"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-04-23T00:00:00Z"}}, {"id": "2966009560", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:25:30Z", "type": "Journal Article", "created": "2019-07-29", "title": "EVAPOTRANSPIRATION AND EVAPORATION/TRANSPIRATION RETRIEVAL USING DUAL-SOURCE SURFACE ENERGY BALANCE MODELS INTEGRATING VIS/NIR/TIR DATA WITH SATELLITE SURFACE SOIL MOISTURE INFORMATION", "description": "

Abstract. Evapotranspiration is an important component of the water cycle. For the agronomic management and ecosystem health monitoring, it is also important to provide an estimate of evapotranspiration components, i.e. transpiration and soil evaporation. To do so, Thermal InfraRed data can be used with dual-source surface energy balance models, because they solve separate energy budgets for the soil and the vegetation. But those models rely on specific assumptions on raw levels of plant water stress to get both components (evaporation and transpiration) out of a single source of information, namely the surface temperature. Additional information from remote sensing data are thus required. This works evaluates the ability of the SPARSE dual-source energy balance model to compute not only total evapotranspiration, but also water stress and transpiration/evaporation components, using either the sole surface temperature as a remote sensing driver, or a combination of surface temperature and soil moisture level derived from microwave data. Flux data at an experimental plot in semi-arid Morocco is used to assess this potentiality and shows the increased robustness of both the total evapotranspiration and partitioning retrieval performances. This work is realized within the frame of the Phase A activities for the TRISHNA CNES/ISRO Thermal Infra-Red satellite mission.

", "keywords": ["Technology", "Environmental Engineering", "550", "Ecosystem Resilience", "Soil Moisture", "Evaporation", "Energy balance", "Biochemistry", "Environmental science", "Transpiration", "Meteorology", "Artificial Intelligence", "Soil water", "Thermal Infrared", "Applied optics. Photonics", "Machine Learning Methods for Solar Radiation Forecasting", "Photosynthesis", "TRISHNA", "Water balance", "Biology", "Soil science", "Global and Planetary Change", "Water content", "Evapotranspiration", "Geography", "Ecology", "Global Forest Drought Response and Climate Change", "T", "FOS: Environmental engineering", "Geology", "FOS: Earth and related environmental sciences", "Remote sensing", "15. Life on land", "Engineering (General). Civil engineering (General)", "Remote Sensing of Soil Moisture", "6. Clean water", "TA1501-1820", "[SDE.MCG] Environmental Sciences/Global Changes", "Chemistry", "Geotechnical engineering", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Physical Sciences", "Computer Science", "TA1-2040", "Water cycle"]}, "links": [{"href": "https://doi.org/2966009560"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/The%20International%20Archives%20of%20the%20Photogrammetry%2C%20Remote%20Sensing%20and%20Spatial%20Information%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2966009560", "name": "item", "description": "2966009560", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2966009560"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-07-26T00:00:00Z"}}, {"id": "2980519968", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:25:31Z", "type": "Journal Article", "created": "2020-07-27", "title": "Evapotranspiration partition using the multiple energy balance version of the ISBA-A-gs land surface model over two irrigated crops in a semi-arid Mediterranean region (Marrakech, Morocco)", "description": "

Abstract. The main objective of this work is to question the representation of the energy budget in soil\u2013vegetation\u2013atmosphere transfer\u00a0(SVAT) models for the prediction of the turbulent fluxes in the case of irrigated crops with a complex structure (row) and under strong transient hydric regimes due to irrigation. To this end, the Interaction between Soil, Biosphere, and Atmosphere\u00a0(ISBA-A-gs) is evaluated at a complex open olive orchard and, for the purposes of comparison, on a winter wheat field taken as an example of a homogeneous canopy. The initial version of ISBA-A-gs, based on a composite energy budget (hereafter ISBA-1P for one\u00a0patch), is compared to the new multiple energy balance\u00a0(MEB) version of ISBA that represents a double source arising from the vegetation located above the soil layer. In addition, a patch representation corresponding to two adjacent, uncoupled source schemes (hereafter ISBA-2P for two\u00a0patches) is also considered for the olive orchard. Continuous observations of evapotranspiration\u00a0(ET), with an eddy covariance system and plant transpiration\u00a0(Tr) with sap flow and isotopic methods were used to evaluate the three representations. A preliminary sensitivity analyses showed a strong sensitivity to the parameters related to turbulence in the canopy introduced in the new ISBA\u2013MEB version. For wheat, the ability of the single- and dual-source configuration to reproduce the composite soil\u2013vegetation heat fluxes was very similar; the root mean square error (RMSE) differences between ISBA-1P, ISBA-2P and ISBA\u2013MEB did not exceed 10\u2009W\u2009m\u22122 for the latent heat flux. These results showed that a composite energy balance in homogeneous covers is sufficient to reproduce the total convective fluxes. The two configurations are also fairly close to the isotopic observations of transpiration in spite of a light underestimation (overestimation) of ISBA-1P\u00a0(ISBA\u2013MEB). At the olive orchard, contrasting results are obtained. The dual-source configurations, including both the uncoupled\u00a0(ISBA-2P) and the coupled\u00a0(ISBA\u2013MEB) representations, outperformed the single-source version\u00a0(ISBA-1P), with slightly better results for ISBA\u2013MEB in predicting both total heat fluxes and evapotranspiration partition. Concerning plant transpiration in particular, the coupled approach ISBA\u2013MEB provides better results than ISBA-1P and, to a lesser extent, ISBA-2P with RMSEs of\u00a01.60, 0.90, and 0.70\u2009mm\u2009d\u22121 and R2\u00a0of\u00a00.43, 0.69, and\u00a00.70\u00a0for ISBA-1P, ISBA-2P and ISBA\u2013MEB, respectively. In addition, it is shown that the acceptable predictions of composite convective fluxes by ISBA-2P for the olive orchard are obtained for the wrong reasons as neither of the two patches is in agreement with the observations because of a bad spatial distribution of the roots and a lack of incoming radiation screening for the bare soil patch. This work shows that composite convection fluxes predicted by the SURFace EXternalis\u00e9e (SURFEX) platform and the partition of evapotranspiration in a highly transient regime due to irrigation is improved for moderately open tree canopies by the new coupled dual-source ISBA\u2013MEB model. It also points out the need for further local-scale evaluations on different crops of various geometry (more open rainfed agriculture or a denser, intensive olive orchard) to provide adequate parameterisation to global database, such as ECOCLIMAP-II, in the view of a global application of the ISBA\u2013MEB model.

", "keywords": ["Technology", "Atmospheric Science", "Atmospheric sciences", "550", "[SDV]Life Sciences [q-bio]", "0207 environmental engineering", "02 engineering and technology", "Energy balance", "Eddy covariance", "Environmental technology. Sanitary engineering", "01 natural sciences", "Environmental science", "G", "Meteorology", "Geography. Anthropology. Recreation", "GE1-350", "Biology", "TD1-1066", "Ecosystem", "0105 earth and related environmental sciences", "Soil science", "2. Zero hunger", "Global and Planetary Change", "Evapotranspiration", "Ecology", "Global Forest Drought Response and Climate Change", "T", "Causes and Impacts of Climate Change Over Millennia", "Physics", "Hydrology (agriculture)", "Geology", "FOS: Earth and related environmental sciences", "15. Life on land", "Agronomy", "[SDV] Life Sciences [q-bio]", "Environmental sciences", "Earth and Planetary Sciences", "Geotechnical engineering", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Physical Sciences", "Global Drought Monitoring and Assessment", "Leaf area index", "Thermodynamics", "Global Vegetation Models"]}, "links": [{"href": "https://doi.org/2980519968"}, {"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": "2980519968", "name": "item", "description": "2980519968", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2980519968"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-10-15T00:00:00Z"}}, {"id": "3044261525", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:25:39Z", "type": "Journal Article", "created": "2020-08-11", "title": "Mathematical and computational modelling of vegetated soil incorporating hydraulically-driven finite strain deformation", "description": "Abstract In this paper a new model for the hydro-mechanical behaviour of rooted soils is developed. It is a physically-based model that couples finite strain soil deformation with unsaturated water and air flow, while improving on existing cohesion-based approaches to mechanical root reinforcement and empirical soil water-uptake approaches typically used to deal with rooted slopes. The model is used to show that the dynamics of soil-water pressure and soil deformation depend strongly on the physics of the root-water uptake and the elasto-plastic soil mechanics. Root water uptake can cause suctions and corresponding soil shrinkage sufficiently large to necessitate a finite-strain approach. Although this deformation can change the intrinsic permeability, hydraulic conductivity remains dominated by the water content. The model incorporates simultaneous air-flow, but this is shown to be unimportant for soil-water dynamics under the conditions assumed in example simulations. The mechanical action of roots is incorporated via a root stress tensor and a simulation is used to show how root tension is mobilised within a swelling soil. The developed model may be used to simulate both laboratory experiments and full-scale vegetated slopes.", "keywords": ["/dk/atira/pure/subjectarea/asjc/1900/1909", "name=Geotechnical Engineering and Engineering Geology", "/dk/atira/pure/subjectarea/asjc/1700/1706", "550", "Vegetated soil", "0211 other engineering and technologies", "Large-strain", "04 agricultural and veterinary sciences", "02 engineering and technology", "name=Computer Science Applications", "15. Life on land", "Roots", "510", "Slope", "Landslide", "0401 agriculture", " forestry", " and fisheries"]}, "links": [{"href": "https://eprints.soton.ac.uk/442810/1/Woodman_et_al_revised_June20PURE.pdf"}, {"href": "https://doi.org/3044261525"}, {"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": "3044261525", "name": "item", "description": "3044261525", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3044261525"}, {"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": "3113036323", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:25:43Z", "type": "Journal Article", "created": "2020-12-08", "title": "Linkages between Rainfed Cereal Production and Agricultural Drought through Remote Sensing Indices and a Land Data Assimilation System: A Case Study in Morocco", "description": "

In Morocco, cereal production shows high interannual variability due to uncertain rainfall and recurrent drought periods. Considering the socioeconomic importance of cereal for the country, there is a serious need to characterize the impact of drought on cereal yields. In this study, drought is assessed through (1) indices derived from remote sensing data (the vegetation condition index (VCI), temperature condition index (TCI), vegetation health ind ex (VHI), soil moisture condition index (SMCI) and soil water index for different soil layers (SWI)) and (2) key land surface variables (Land Area Index (LAI), soil moisture (SM) at different depths, soil evaporation and plant transpiration) from a Land Data Assimilation System (LDAS) over 2000\u20132017. A lagged correlation analysis was conducted to assess the relationships between the drought indices and cereal yield at monthly time scales. The VCI and LAI around the heading stage (March-April) are highly linked to yield for all provinces (R = 0.94 for the Khemisset province), while a high link for TCI occurs during the development stage in January-February (R = 0.83 for the Beni Mellal province). Interestingly, indices related to soil moisture in the superficial soil layer are correlated with yield earlier in the season around the emergence stage (December). The results demonstrate the clear added value of using an LDAS compared with using a remote sensing product alone, particularly concerning the soil moisture in the root-zone, considered a key variable for yield production, that is not directly observable from space. The time scale of integration is also discussed. By integrating the indices on the main phenological stages of wheat using a dynamic threshold approach instead of the monthly time scale, the correlation between indices and yield increased by up to 14%. In addition, the contributions of VCI and TCI to VHI were optimized by using yield anomalies as proxies for drought. This study opens perspectives for the development of drought early warning systems in Morocco and over North Africa, as well as for seasonal crop yield forecasting.

", "keywords": ["[SDE] Environmental Sciences", "550", "Science", "0207 environmental engineering", "Agricultural drought", "02 engineering and technology", "01 natural sciences", "630", "Environmental science", "remote sensing", "Land data assimilation systems", "Pathology", "assimilation systems", "Biology", "land data assimilation systems", "0105 earth and related environmental sciences", "2. Zero hunger", "Global and Planetary Change", "Vegetation Monitoring", "Water content", "Ecology", "Drought", "Global Forest Drought Response and Climate Change", "Q", "Hydrology (agriculture)", "Geology", "cereal yield", "Remote Sensing in Vegetation Monitoring and Phenology", "FOS: Earth and related environmental sciences", "Remote sensing", "semiarid region", "15. Life on land", "agricultural drought", "Agronomy", "6. Clean water", "Cereal yield", "Geotechnical engineering", "13. Climate action", "FOS: Biological sciences", "[SDE]Environmental Sciences", "Global Drought Monitoring and Assessment", "Environmental Science", "Physical Sciences", "Leaf area index", "Medicine", "Semiarid region", "land data", "Vegetation (pathology)"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/12/24/4018/pdf"}, {"href": "https://www.mdpi.com/2072-4292/12/24/4018/pdf"}, {"href": "https://doi.org/3113036323"}, {"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": "3113036323", "name": "item", "description": "3113036323", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3113036323"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-12-08T00:00:00Z"}}, {"id": "PMC10039844", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:27:37Z", "type": "Journal Article", "created": "2023-03-25", "title": "Evaluating the impacts of sustainable land management practices on water quality in an agricultural catchment in Lower Austria using SWAT", "description": "Abstract

Managing agricultural watersheds in an environmentally friendly manner necessitate the strategic implementation of well-targeted sustainable land management (SLM) practices that limit soil and nonpoint source pollution losses and translocation. Watershed-scale SLM-scenario modeling has the potential to identify efficient and effective management strategies from the field to the integrated landscape level. In a case study targeting a 66-hectare watershed in Petzenkirchen, Lower Austria, the Soil and Water Assessment Tool (SWAT) was utilized to evaluate a variety of locally adoptable SLM practices. SWAT was calibrated and validated (monthly) at the catchment outlet for flow, sediment, nitrate-nitrogen (NO3\uffe2\uff80\uff93N), ammonium nitrogen (NH4\uffe2\uff80\uff93N), and mineralized phosphorus (PO4\uffe2\uff80\uff93P) using SWATplusR. Considering the locally existing agricultural practices and socioeconomic and environmental factors of the research area, four conservation practices were evaluated: baseline scenario, contour farming (CF), winter cover crops (CC), and a combination of no-till and cover crops (NT\uffe2\uff80\uff89+\uffe2\uff80\uff89CC). The NT\uffe2\uff80\uff89+\uffe2\uff80\uff89CC SLM practice was found to be the most effective soil conservation practice in reducing soil loss by around 80%, whereas CF obtained the best results for decreasing the nutrient loads of NO3\uffe2\uff80\uff93N and PO4\uffe2\uff80\uff93P by 11% and 35%, respectively. The findings of this study imply that the setup SWAT model can serve the context-specific performance assessment and eventual promotion of SLM interventions that mitigate on-site land degradation and the consequential off-site environmental pollution resulting from agricultural nonpoint sources.