{"type": "FeatureCollection", "features": [{"id": "10.1016/j.solmat.2019.01.008", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:16:38Z", "type": "Journal Article", "created": "2019-01-31", "title": "Acceptance criteria for accelerated aging testing of silvered-glass mirrors for concentrated solar power technologies", "description": "Abstract   Solar reflectors for Concentrating Solar Power (CSP) technologies are required to maintain their optical properties in demanding environments for more than 20 years of service-life. The durability of the commonly used silvered-glass reflectors is typically qualified by means of accelerated aging. Recently, the Spanish standardization committee UNE has published the first specific standard for this topic, which defines a set of accelerated aging tests for CSP reflectors. However, the standard does not contain pass/fail criteria. This paper proposes useful acceptance criteria for the accelerated tests defined by UNE, helping to interpret the obtained degradation results. The criteria have been determined by analyzing the collected accelerated aging data over the past 5 years in the OPAC laboratory, a joint research group of DLR and CIEMAT. Data from six different 4\u202fmm silvered-glass manufacturers is presented, covering nearly the entire market of commercially available silvered-glass mirrors, and going way beyond the recommended testing times of the UNE standard. The data may be used to benchmark initial reflective properties (before aging) and the performance during accelerated durability testing. In addition, recommendations for improvements of the standard are given and an estimate of the acceleration factor of the Copper Accelerate Salt Spray (CASS) test with respect to a highly corrosive outdoor environment is presented.", "keywords": ["reflectance", "solar reflector", "0211 other engineering and technologies", "0202 electrical engineering", " electronic engineering", " information engineering", "durability", "Qualifizierung", "02 engineering and technology", "accelerated aging testing", "7. Clean energy", "acceptance criteria", "concentrated solar power"]}, "links": [{"href": "https://elib.dlr.de/126366/1/Acceptance%20criteria%20for%20accelerated%20aging%20testing_revised.pdf"}, {"href": "https://doi.org/10.1016/j.solmat.2019.01.008"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Solar%20Energy%20Materials%20and%20Solar%20Cells", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.solmat.2019.01.008", "name": "item", "description": "10.1016/j.solmat.2019.01.008", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.solmat.2019.01.008"}, {"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.geoderma.2019.114009", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:16:04Z", "type": "Journal Article", "created": "2019-11-12", "title": "Predicting glyphosate sorption across New Zealand pastoral soils using basic soil properties or Vis\u2013NIR spectroscopy", "description": "<p>Glyphosate [N-(phosphonomethyl) glycine] is the active ingredient in Roundup, which is the most used herbicide around the world. It is a non-selective herbicide with carboxyl, amino, and phosphonate functional groups, and it has a strong affinity to the soil mineral fraction. Sorption plays a major role for the fate and transport of glyphosate in the environment. The sorption coefficient (K<sub>d</sub>) of glyphosate, and hence its mobility, varies greatly among different soil types. Determining K<sub>d</sub> is laborious and requires the use of wet chemistry. In this study, we aimed to estimate K<sub>d</sub> using basic soil properties, and visible near-infrared spectroscopy (vis\u2013NIRS). The latter method is fast, requires no chemicals, and several soil properties can be estimated from the same spectrum. The data set included 68 topsoil samples collected across the South Island of New Zealand, with clay and organic carbon (OC) contents ranging from 0.001 to 0.520 kg kg<sup>\u22121</sup> and 0.021 to 0.217 kg kg<sup>\u22121</sup>, respectively. The K<sub>d</sub> was determined with batch equilibration sorption experiments and ranged from 13 to 3810 L kg<sup>\u22121</sup>. The visible near-infrared spectra were obtained from 400 to 2500 nm. Multiple linear regression was used to correlate K<sub>d</sub> to oxalate extractable aluminium and phosphorous and pH, which resulted in an R<sup>2</sup> of 0.89 and an RMSE of 259.59 L kg<sup>\u22121</sup>. Further, interval partial least squares regression with ten-fold cross-validation was used to predict K<sub>d</sub> by vis\u2013NIRS, and an R<sup>2</sup> of 0.93 and an RMSECV of 207.58 L kg<sup>\u22121</sup> were obtained. Thus, these results show that both basic soil properties and vis\u2013NIRS can predict the variation in K<sub>d</sub> across these samples with high accuracy and hence, that glyphosate sorption to a soil can be determined with vis\u2013NIRS.</p>", "keywords": ["2. Zero hunger", "ADSORPTION", "NEAR-INFRARED SPECTROSCOPY", "04 agricultural and veterinary sciences", "DEGRADATION", "15. Life on land", "WATER REPELLENCY", "FIELD-SCALE", "REFLECTANCE SPECTROSCOPY", "MOBILITY", "FACILITATED TRANSPORT", "CONTAMINANTS", "0401 agriculture", " forestry", " and fisheries", "COEFFICIENT"]}, "links": [{"href": "https://doi.org/10.1016/j.geoderma.2019.114009"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoderma", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.geoderma.2019.114009", "name": "item", "description": "10.1016/j.geoderma.2019.114009", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.geoderma.2019.114009"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-02-01T00:00:00Z"}}, {"id": "10.1016/j.envpol.2021.118128", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:15:49Z", "type": "Journal Article", "created": "2021-09-09", "title": "Diagnosis of cadmium contamination in urban and suburban soils using visible-to-near-infrared spectroscopy", "description": "Previous studies have mostly focused on using visible-to-near-infrared spectral technique to quantitatively estimate soil cadmium (Cd) content, whereas little attention has been paid to identifying soil Cd contamination from a perspective of spectral classification. Here, we developed a framework to compare the potential of two spectral transformations (i.e., raw reflectance and continuum removal [CR]), three optimization strategies (i.e., full-spectrum, Boruta feature selection, and synthetic minority over-sampling technique [SMOTE]), and three classification algorithms (i.e., partial least squares discriminant analysis, random forest [RF], and support vector machine) for diagnosing soil Cd contamination. A total of 536 soil samples were collected from urban and suburban areas located in Wuhan City, China. Specifically, Boruta and SMOTE strategies were aimed at selecting the most informative predictors and obtaining balanced training datasets, respectively. Results indicated that soils contaminated by Cd induced decrease in spectral reflectance magnitude. Classification models developed after Boruta and SMOTE strategies out-performed to those from full-spectrum. A diagnose model combining CR preprocessing, SMOTE strategy, and RF algorithm achieved the highest validation accuracy for soil Cd (Kappa = 0.74). This study provides a theoretical reference for rapid identification of and monitoring of soil Cd contamination in urban and suburban areas.", "keywords": ["DIFFUSE-REFLECTANCE SPECTROSCOPY", "HUMAN HEALTH", "PREDICTION", "POTENTIALLY TOXIC ELEMENTS", "Boruta algorithm", "01 natural sciences", "Visible-to-near-infrared spectroscopy", "NIR SPECTROSCOPY", "Soil", "ORGANIC-CARBON", "Machine learning", "11. Sustainability", "Soil Pollutants", "Least-Squares Analysis", "0105 earth and related environmental sciences", "Spectroscopy", " Near-Infrared", "RANDOM FOREST", "Urban and suburban soil Cd contamination", "04 agricultural and veterinary sciences", "15. Life on land", "QUANTITATIVE-ANALYSIS", "6. Clean water", "RIVER DELTA", "13. Climate action", "Earth and Environmental Sciences", "Synthetic minority over-sampling technique", "0401 agriculture", " forestry", " and fisheries", "HEAVY-METAL CONCENTRATIONS", "Cadmium"]}, "links": [{"href": "https://doi.org/10.1016/j.envpol.2021.118128"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Pollution", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.envpol.2021.118128", "name": "item", "description": "10.1016/j.envpol.2021.118128", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.envpol.2021.118128"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-12-01T00:00:00Z"}}, {"id": "10.1016/j.geoderma.2023.116636", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:16:05Z", "type": "Journal Article", "created": "2023-08-11", "title": "Exploitation of the SoilPRO\u00ae (SP) apparatus to measure soil surface reflectance in the field: Five case studies", "description": "The SoilPRO\u00ae (SP) is an assembly designed to acquire soil reflectance information in the field without disturbing the soil surface, and regardless of atmospheric and solar radiation conditions. This paper summarizes five case studies in which the SP assembly was used for different applications. The case studies consisted of: (1) generating surface spectral measurements under any atmospheric condition; (2) comparing the performance of the SP to the traditional bare fiber method for vicarious calibration of hyperspectral satellite sensors; (3) assessing water repellency of a soil surface governed by organic matter hydrophobicity; (4) spatial prediction of the rate of water infiltration into the soil profile as governed by the soil surface seal; and (5) using the SP apparatus to measure soil surface reflectance in South Shetland Island, Antartica under severe weather conditions. The case studies included calculation of spectral quality, prediction accuracy and measurement stability. The paper discusses each of the cases in detail and concludes that the SP (or similar assembly) is the best way to measure the reflectance of the original soil surface in the field. In the first case study, the spectrum collected by the SP under daily changing illumination was shown to be stable relative to the traditional measurement methods of contact probe or bare fiber. The second case study indicated that use of the SP for vicarious calibration is much more efficient (in terms of time and stability) than ground-truth practice over a large area, and in the third case study, the SP was able to assess a soil surface property governed by organic matter hydrophobicity better than the contact probe, which destroys the soil surface organic seal. A similar achievement was gained in the fourth case study, providing a better assessment of the water-infiltration rate into the soil. In the fifth case study, the SP demonstrated impressive high-quality acquisition of soil surface reflectance with a very low sun angle over the South Pole. Based on these case studies and the high quality of the data generated by the SP in the field, we suggest building, in parallel to the classical soil spectral libraries generated in the laboratory, field soil spectral libraries that will preserve the soil surface properties scanned in the field. We anticipate the development of more applications for the SP assembly based on the capabilities shown in this paper.", "keywords": ["EJP SOIL", "ProbeField", "Field measurements", "Science", "Soil reflectance", "EJPSOIL", "Q", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "01 natural sciences", "SoilPRO", "Soil surface properties", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.geoderma.2023.116636"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoderma", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.geoderma.2023.116636", "name": "item", "description": "10.1016/j.geoderma.2023.116636", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.geoderma.2023.116636"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-10-01T00:00:00Z"}}, {"id": "10.1016/j.geoderma.2024.116920", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-09-22T16:16:05Z", "type": "Journal Article", "created": "2024-05-24", "title": "A standard and protocol for in-situ measurement of surface soil reflectance", "description": "This study introduces an innovative standard and protocol approach for accurate assessment and harmonization of undisturbed soil surface spectra under field conditions, achieving laboratory-grade precision, while minimizing systematic discrepancies. The SoilPRO\u00ae assembly was employed for its efficacy in precisely measuring seven different soil samples under similar field and laboratory conditions in six different laboratories. While some discrepancies were noted in and between field and laboratory measurements, aligning the laboratory measurements with a reference sample, Lucky Bay (LB) internal soil standard (ISS), significantly reduced variations across different laboratory settings. A similar approach was employed to align field spectra using a field ISS (FISS), which could be practically applied in the field and adjusted to the laboratory reference LB before utilization. Correcting to the FISS facilitated the alignment of field reflectance among the six laboratories and closely matched with laboratory ISS measurements adjusted to the LB standard. This alignment of field reflectance with ISS-corrected laboratory measurements represents a ground-breaking achievement in field soil spectroscopy, which suffers from instabilities. It not only ensures preservation of the soil surface condition in the field, but also enables objective comparisons with all soil spectral libraries (SSLs) measurements and robust harmonization of field spectral data from different sources. The suggested method masks out technical aspects of spectral measurements in the field and prepares the signals to be analyzed for the physicochemical characteristics of the soil surface. The current study marks the first use of a controlled method for soil-surface spectroscopy measurements, opening a path for the construction of in-situ field SSLs. This advancement represents a significant step toward obtaining more accurate and standardized soil analyses of diverse surface properties under field conditions.", "keywords": ["EJP SOIL", "ProbeField", "EJPSOIL", "Science", "Q", "Field soil reflectance", "Field protocol", "0401 agriculture", " forestry", " and fisheries", "Field spectral harmonization", "Filed soil spectral library", "04 agricultural and veterinary sciences", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.geoderma.2024.116920"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoderma", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.geoderma.2024.116920", "name": "item", "description": "10.1016/j.geoderma.2024.116920", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.geoderma.2024.116920"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-07-01T00:00:00Z"}}, {"id": "10.1016/j.scitotenv.2022.156582", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-09-22T16:16:24Z", "type": "Journal Article", "created": "2022-06-14", "title": "Potential of visible and near infrared spectroscopy coupled with machine learning for predicting soil metal concentrations at the regional scale", "description": "Chemical analytical methods for metal analysis in soils are laborious, time-consuming and costly. This paper aims to evaluate the potential of short-range (SR) and full-range (FR) visible and infrared spectroscopy (vis-NIR) combined with linear and nonlinear calibration methods to estimate concentrations of nickel (Ni), cobalt (Co), cadmium (Cd), lead (Pb) and copper (Cu) in soils. A total of 435 soil samples were collected over agricultural sites, forest (7 %), pasture (5 %) and fallow land across a region in the northern part of Belgium. Generally, better predictions were obtained when using partial least squares regression (PLSR) and nonlinear calibration method [i.e., random forest (RF)] for processing of the spectral data, than when using support vector machine (SVM). FR generally outperformed SR and provided the best prediction results for Ni (R<sup>2</sup><sub>p</sub> = 0.76), Co (R<sup>2</sup><sub>p</sub> = 0.77), Cd (R<sup>2</sup><sub>p</sub> = 0.64) and Pb (R<sup>2</sup><sub>p</sub> = 0.65), when using PLSR and RF. SVM produced the best prediction result only for Pb (R<sup>2</sup><sub>p</sub> = 0.57) using the SR spectra. The metals Ni, Co, Cd and Pb can be predicted successfully (good accuracy) from the FR vis-NIR spectra using PLSR for Co, and RF for Ni, Cd, Pb and Cu. Compared to the FR spectrophotometer, improvement in accuracy was obtained for Cd and Co, using the SR spectra when combined with PLSR and RF, respectively. It is concluded that the SR spectrometer can be used successfully for the prediction of Co with RF (R<sup>2</sup><sub>p</sub> = 0.70), while it best predicted Cd with PLSR with an R<sup>2</sup><sub>p</sub> value of 0.67, which is of value for regional survey.", "keywords": ["Spectroscopy", " Near-Infrared", "Support Vector Machine", "RANGE", "Machine", "Machine learning modelling", "learning modelling", "REFLECTANCE SPECTROSCOPY", "CONTAMINATION", "Soil", "Lead", "Soil contamination", "Nickel", "Metals", "Earth and Environmental Sciences", "Soil Pollutants", "Chemometrics", "Cadmium", "Near-infrared spectra"]}, "links": [{"href": "https://doi.org/10.1016/j.scitotenv.2022.156582"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Science%20of%20The%20Total%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.scitotenv.2022.156582", "name": "item", "description": "10.1016/j.scitotenv.2022.156582", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.scitotenv.2022.156582"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-10-01T00:00:00Z"}}, {"id": "10.1016/j.jhydrol.2023.130284", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-09-22T16:16:14Z", "type": "Journal Article", "created": "2023-10-06", "title": "A novel laboratory method for the retrieval of the soil water retention curve from shortwave infrared reflectance", "description": "<p>The soil water retention curve (SWRC) is an essential soil property that relates soil water content and matric potential. It plays a crucial role in soil water dynamics and the understanding of various hydrological phenomena at the land surface, including infiltration, runoff, evaporation, and energy exchange processes. In recent years, proximal sensing methods have shown great potential for retrieving this challenging-to-measure property from spectral reflectance. However, a physically-based approach is still lacking as current methods rely on empirical data-driven algorithms. Here we propose a novel physics-based laboratory method that, for the first time, enables direct estimation of the entire SWRC from saturated to dry using soil water content/reflectance data pairs within the shortwave infrared domain. The main hypothesis underlying the new method is that soil optical properties not only vary with soil water content but also with the pore scale distribution of capillary and adsorbed soil water. For evaluation, retrieved soil water retention curves of 21 soils that vastly differ in physical and hydraulic properties were compared to direct measurements. The results suggest that the new method is a rapid and efficient alternative to established laboratory measurement methods.</p>", "keywords": ["Soil water retention curve", "Laboratory method", "Shortwave infrared reflectance", "Optical proximal sensing", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "Soil hydraulic properties", "01 natural sciences", "6. Clean water", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.jhydrol.2023.130284"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Hydrology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.jhydrol.2023.130284", "name": "item", "description": "10.1016/j.jhydrol.2023.130284", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.jhydrol.2023.130284"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-11-01T00:00:00Z"}}, {"id": "10.1016/j.solener.2019.09.031", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-09-22T16:16:37Z", "type": "Journal Article", "created": "2019-09-17", "title": "Evaluation of anti-soiling coatings for CSP reflectors under realistic outdoor conditions", "description": "Abstract   Soiling of solar reflectors affects their reflectance and has a direct impact on the power output of concentrated solar power (CSP) plants. One way to minimize the efficiency losses is the implementation of anti-soiling coatings on the reflector surfaces. This method is being studied for the past decade, but has not been successfully commercialized yet. The purpose of the coatings is to reduce soiling and improve the washability of the reflectors. In this work results are presented from an extensive outdoor campaign of two potential anti-soiling coatings under realistic conditions at a representative CSP site in southern Spain. Nearly six years of outdoor data are available, which makes this campaign the longest published on this type of coatings. Regular cleaning and reflectance measurements were performed during the exposure and conclusions about the performance and durability of the coatings are drawn. It is shown that in the initial state the coatings show an advantageous behavior, resulting in higher reflectance during outdoor exposure due to less soiling and better cleaning of the reflectors. The second main finding is that durability is an important issue for the implemented coatings, as their properties degrade over time resulting in lower reflectance values after several years of exposure compared to conventional glass reflectors.", "keywords": ["Anti-soiling", "Concentrated Solar Power", "Solar reflector", "0211 other engineering and technologies", "0202 electrical engineering", " electronic engineering", " information engineering", "Anti-soiling Solar reflector Reflectance Durability Concentrated solar power", "Reflectance", "Qualifizierung", "02 engineering and technology", "7. Clean energy", "Durability"]}, "links": [{"href": "https://elib.dlr.de/130798/1/Wette_Evaluation.pdf"}, {"href": "https://doi.org/10.1016/j.solener.2019.09.031"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Solar%20Energy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.solener.2019.09.031", "name": "item", "description": "10.1016/j.solener.2019.09.031", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.solener.2019.09.031"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-10-01T00:00:00Z"}}, {"id": "10.1016/j.solmat.2017.11.029", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-09-22T16:16:38Z", "type": "Journal Article", "created": "2017-12-22", "title": "The effect of incidence angle on the reflectance of solar mirrors", "description": "Abstract   Solar reflectors for Concentrating Solar Technologies require a high reflectance in the terrestrial solar spectrum (280\u20134000\u00a0nm). Besides the wavelength, the reflectance of solar mirror materials is also dependent on the incidence angle of the incoming sunlight. The commonly used measurement equipment measures the reflectance at fixed near-normal incidence angles, typically between 8\u00b0 and 15\u00b0. In this work, the annual incidence angle frequency distribution has been calculated for a LS3/Eurotrough-type parabolic-trough collector located at different sites, and for the heliostat field of the solar tower system CESA-1 located at the Plataforma Solar de Almeria in Tabernas, southern Spain. It was found that the most frequent incidence angles registered in the solar field are quite higher than the ones at which reflectance is measured with state of the art instruments, obtaining mean incidence angles in the range of 28\u201335\u00b0 depending on the type and location of the solar field.  A methodology to predict the off-normal reflectance of silvered-glass mirrors based on near-normal reflectance and transmittance measurements of the uncoated glass is presented. The complex refractive index of 2, 4 and 5\u00a0mm thick solar glass and the deposited silver was determined and used to model the solar weighted reflectance of silvered-glass mirrors at different incidence angles. The model was compared to experimental measurements. For this purpose, the Spectral Specular Reflectometer (S2R) has been improved and updated with a polarizer crystal to measure reflectance at perpendicular (s-pol) and parallel (p-pol) polarizations up to incidence angles of \u03b8 = 70\u00b0.  Eight solar mirror materials (three silvered-glass mirrors of different glass thicknesses, two anti-soiling coated glass mirrors, two enhanced aluminum reflectors and a silvered polymer film) have been measured over a broad range of incidence angles and the results have been weighted with the annual incidence angle frequency distribution. The obtained incidence angle-weighted reflectance is a suited parameter to compare the efficiency of solar mirror materials taking into account their use in a specific collector type and location.", "keywords": ["Incidence angle", "Solar weighting", "Solar reflector", "Spectral reflectometer", "0211 other engineering and technologies", "0202 electrical engineering", " electronic engineering", " information engineering", "Reflectance", "Qualifizierung", "02 engineering and technology", "7. Clean energy"]}, "links": [{"href": "https://elib.dlr.de/120297/2/IncidenceAngleRevised.pdf"}, {"href": "https://doi.org/10.1016/j.solmat.2017.11.029"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Solar%20Energy%20Materials%20and%20Solar%20Cells", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.solmat.2017.11.029", "name": "item", "description": "10.1016/j.solmat.2017.11.029", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.solmat.2017.11.029"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-03-01T00:00:00Z"}}, {"id": "10.1080/05704928.2022.2128365", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:17:28Z", "type": "Journal Article", "created": "2022-10-03", "title": "Mathematical techniques to remove moisture effects from visible\u2013near-infrared\u2013shortwave-infrared soil spectra\u2014review", "description": "This is an Accepted Manuscript of an article published by Taylor & Francis in Applied Spectroscopy Reviews on 03 October 2022, available at: https://doi.org/10.1080/05704928.2022.2128365", "keywords": ["EJP Soil", "Proximal Sensing", "ProbeField", "Soil Moisture", "04 agricultural and veterinary sciences", "algorithms", "01 natural sciences", "diffuse reflectance spectroscopy", "field-moist conditions", "EJPSOIL", "0401 agriculture", " forestry", " and fisheries", "indices", "Soil moisture", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://www.tandfonline.com/doi/pdf/10.1080/05704928.2022.2128365"}, {"href": "https://doi.org/10.1080/05704928.2022.2128365"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Applied%20Spectroscopy%20Reviews", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1080/05704928.2022.2128365", "name": "item", "description": "10.1080/05704928.2022.2128365", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1080/05704928.2022.2128365"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-10-03T00:00:00Z"}}, {"id": "10.1111/gcb.14815", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:17:49Z", "type": "Journal Article", "created": "2019-08-30", "title": "How to measure, report and verify soil carbon change to realize the potential of soil carbon sequestration for atmospheric greenhouse gas removal", "description": "Abstract<p>There is growing international interest in better managing soils to increase soil organic carbon (SOC) content to contribute to climate change mitigation, to enhance resilience to climate change and to underpin food security, through initiatives such as international \uffe2\uff80\uff984p1000\uffe2\uff80\uff99 initiative and the FAO's Global assessment of SOC sequestration potential (GSOCseq) programme. Since SOC content of soils cannot be easily measured, a key barrier to implementing programmes to increase SOC at large scale, is the need for credible and reliable measurement/monitoring, reporting and verification (MRV) platforms, both for national reporting and for emissions trading. Without such platforms, investments could be considered risky. In this paper, we review methods and challenges of measuring SOC change directly in soils, before examining some recent novel developments that show promise for quantifying SOC. We describe how repeat soil surveys are used to estimate changes in SOC over time, and how long\uffe2\uff80\uff90term experiments and space\uffe2\uff80\uff90for\uffe2\uff80\uff90time substitution sites can serve as sources of knowledge and can be used to test models, and as potential benchmark sites in global frameworks to estimate SOC change. We briefly consider models that can be used to simulate and project change in SOC and examine the MRV platforms for SOC change already in use in various countries/regions. In the final section, we bring together the various components described in this review, to describe a new vision for a global framework for MRV of SOC change, to support national and international initiatives seeking to effect change in the way we manage our soils.</p>", "keywords": ["[SDE] Environmental Sciences", "550", "BULK-DENSITY", "QH301 Biology", "Climate", "[SDV]Life Sciences [q-bio]", "NEW-ZEALAND", "630", "Soil", "NE/M021327/1", "11. Sustainability", "SDG 13 - Climate Action", "AGRICULTURAL SOILS", "SDG 15 - Life on Land", "General Environmental Science", "agriculture", "2. Zero hunger", "Global and Planetary Change", "reporting", "Measurement", "Ecology", "IN-SITU", "Agricultura", "NE/P019455/1", "carbono org\u00e1nico del suelo", "Agriculture", "LAND-USE CHANGE", "04 agricultural and veterinary sciences", "[SDV] Life Sciences [q-bio]", "climate change", "Sustainability", "[SDE]Environmental Sciences", "Carbon Sequestration", "DIFFUSE-REFLECTANCE SPECTROSCOPY", "LONG-TERM EXPERIMENTS", "330", "Monitoring", "STOCK CHANGES", "MRV", "secuestro de carbon", "12. Responsible consumption", "QH301", "Greenhouse Gases", "ORGANIC-CARBON", "soil organic matter", "greenhouse gases", "Invited Research Reviews", "Environmental Chemistry", "774378", "SDG 2 - Zero Hunger", "European Commission", "resilience", "Climate Solutions", "Soil organic matter", "Soil organic carbon", "Natural Environment Research Council (NERC)", "Verification", "food security", "15. Life on land", "carbon sequestration", "Sustainable Agriculture", "Carbon", "EDDY-COVARIANCE", "soil organic carbon", "monitoring", "Reporting", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "measurement", "verification"]}, "links": [{"href": "https://onlinelibrary.wiley.com/doi/pdf/10.1111/gcb.14815"}, {"href": "https://scholarworks.uvm.edu/context/rsfac/article/1079/viewcontent/Lini2019b.pdf"}, {"href": "https://doi.org/10.1111/gcb.14815"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Global%20Change%20Biology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/gcb.14815", "name": "item", "description": "10.1111/gcb.14815", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/gcb.14815"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-10-06T00:00:00Z"}}, {"id": "2987388425", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-09-22T16:22:53Z", "type": "Journal Article", "created": "2019-11-12", "title": "Predicting glyphosate sorption across New Zealand pastoral soils using basic soil properties or Vis\u2013NIR spectroscopy", "description": "<p>Glyphosate [N-(phosphonomethyl) glycine] is the active ingredient in Roundup, which is the most used herbicide around the world. It is a non-selective herbicide with carboxyl, amino, and phosphonate functional groups, and it has a strong affinity to the soil mineral fraction. Sorption plays a major role for the fate and transport of glyphosate in the environment. The sorption coefficient (K<sub>d</sub>) of glyphosate, and hence its mobility, varies greatly among different soil types. Determining K<sub>d</sub> is laborious and requires the use of wet chemistry. In this study, we aimed to estimate K<sub>d</sub> using basic soil properties, and visible near-infrared spectroscopy (vis\u2013NIRS). The latter method is fast, requires no chemicals, and several soil properties can be estimated from the same spectrum. The data set included 68 topsoil samples collected across the South Island of New Zealand, with clay and organic carbon (OC) contents ranging from 0.001 to 0.520 kg kg<sup>\u22121</sup> and 0.021 to 0.217 kg kg<sup>\u22121</sup>, respectively. The K<sub>d</sub> was determined with batch equilibration sorption experiments and ranged from 13 to 3810 L kg<sup>\u22121</sup>. The visible near-infrared spectra were obtained from 400 to 2500 nm. Multiple linear regression was used to correlate K<sub>d</sub> to oxalate extractable aluminium and phosphorous and pH, which resulted in an R<sup>2</sup> of 0.89 and an RMSE of 259.59 L kg<sup>\u22121</sup>. Further, interval partial least squares regression with ten-fold cross-validation was used to predict K<sub>d</sub> by vis\u2013NIRS, and an R<sup>2</sup> of 0.93 and an RMSECV of 207.58 L kg<sup>\u22121</sup> were obtained. Thus, these results show that both basic soil properties and vis\u2013NIRS can predict the variation in K<sub>d</sub> across these samples with high accuracy and hence, that glyphosate sorption to a soil can be determined with vis\u2013NIRS.</p>", "keywords": ["2. Zero hunger", "ADSORPTION", "NEAR-INFRARED SPECTROSCOPY", "04 agricultural and veterinary sciences", "DEGRADATION", "15. Life on land", "WATER REPELLENCY", "FIELD-SCALE", "REFLECTANCE SPECTROSCOPY", "MOBILITY", "FACILITATED TRANSPORT", "CONTAMINANTS", "0401 agriculture", " forestry", " and fisheries", "COEFFICIENT"]}, "links": [{"href": "https://doi.org/2987388425"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoderma", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2987388425", "name": "item", "description": "2987388425", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2987388425"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-02-01T00:00:00Z"}}, {"id": "10.1594/pangaea.68681", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:18:34Z", "type": "Dataset", "title": "Color reflectance of sediment core GeoB6417-3", "keywords": ["Color reflectance at 590 nm", "Color reflectance at 540 nm", "Color reflectance at 460 nm", "Gravity corer (Kiel type)", "Color reflectance at 620 nm", "M46/4", "Color reflectance at 680 nm", "DEPTH", " sediment/rock", "Color reflectance at 700 nm", "Color reflectance at 550 nm", "Spectrophotometer Minolta CM 2002", "Color reflectance at 400 nm", "Color reflectance at 420 nm", "Color reflectance at 470 nm", "University of Bremen GeoB", "Geosciences", " University of Bremen (GeoB)", "Color reflectance at 640 nm", "Color reflectance at 610 nm", "Meteor 1986", "Color reflectance at 520 nm", "Color reflectance at 430 nm", "Color reflectance at 690 nm", "Color reflectance at 560 nm", "Color reflectance at 600 nm", "Color reflectance at 650 nm", "Color reflectance at 480 nm", "Meteor (1986)", "Color reflectance at 440 nm", "Color reflectance at 510 nm", "Color reflectance at 570 nm", "sediment rock", "Spectrophotometer Minolta CM-2002", "Gravity corer Kiel type", "Color reflectance at 530 nm", "Color reflectance at 660 nm", "DEPTH", "Color reflectance at 490 nm", "Color reflectance at 630 nm", "M46 4", "Color reflectance at 450 nm", "Color reflectance at 500 nm", "Natural Sciences", "Color reflectance at 670 nm", "Color reflectance at 580 nm", "Geosciences", "Color reflectance at 410 nm"], "contacts": [{"organization": "Wefer, Gerold", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1594/pangaea.68681"}, {"rel": "self", "type": "application/geo+json", "title": "10.1594/pangaea.68681", "name": "item", "description": "10.1594/pangaea.68681", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1594/pangaea.68681"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2002-01-01T00:00:00Z"}}, {"id": "10.2136/vzj2015.09.0131", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:19:00Z", "type": "Journal Article", "created": "2016-05-13", "title": "Modeling Soil Processes: Review, Key Challenges, and New Perspectives", "description": "Core Ideas<p><p>A community effort is needed to move soil modeling forward.</p><p>Establishing an international soil modeling consortium is key in this respect.</p><p>There is a need to better integrate existing knowledge in soil models.</p><p>Integration of data and models is a key challenge in soil modeling.</p></p><p>The remarkable complexity of soil and its importance to a wide range of ecosystem services presents major challenges to the modeling of soil processes. Although major progress in soil models has occurred in the last decades, models of soil processes remain disjointed between disciplines or ecosystem services, with considerable uncertainty remaining in the quality of predictions and several challenges that remain yet to be addressed. First, there is a need to improve exchange of knowledge and experience among the different disciplines in soil science and to reach out to other Earth science communities. Second, the community needs to develop a new generation of soil models based on a systemic approach comprising relevant physical, chemical, and biological processes to address critical knowledge gaps in our understanding of soil processes and their interactions. Overcoming these challenges will facilitate exchanges between soil modeling and climate, plant, and social science modeling communities. It will allow us to contribute to preserve and improve our assessment of ecosystem services and advance our understanding of climate\uffe2\uff80\uff90change feedback mechanisms, among others, thereby facilitating and strengthening communication among scientific disciplines and society. We review the role of modeling soil processes in quantifying key soil processes that shape ecosystem services, with a focus on provisioning and regulating services. We then identify key challenges in modeling soil processes, including the systematic incorporation of heterogeneity and uncertainty, the integration of data and models, and strategies for effective integration of knowledge on physical, chemical, and biological soil processes. We discuss how the soil modeling community could best interface with modern modeling activities in other disciplines, such as climate, ecology, and plant research, and how to weave novel observation and measurement techniques into soil models. We propose the establishment of an international soil modeling consortium to coherently advance soil modeling activities and foster communication with other Earth science disciplines. Such a consortium should promote soil modeling platforms and data repository for model development, calibration and intercomparison essential for addressing contemporary challenges.</p", "keywords": ["organic-matter dynamics", "550", "QH301 Biology", "0208 environmental biotechnology", "SATURATED-UNSATURATED FLOW", "02 engineering and technology", "soil processes", "01 natural sciences", "Physical Geography and Environmental Geoscience", "Sciences de la Terre", "ARBUSCULAR MYCORRHIZAL FUNGI", "sciences du sol", "ANZSRC::3707 Hydrology", "SYNTHETIC-APERTURE RADAR", "ANZSRC::4106 Soil sciences", "SDG 13 - Climate Action", "2. Zero hunger", "GROUND-PENETRATING RADAR", "diffuse-reflectance spectroscopy", "ANZSRC::050399 Soil Sciences not elsewhere classified", "synthetic-aperture radar", "digital elevation model", "SDG 13 \u2013 Ma\u00dfnahmen zum Klimaschutz", "MULTIPLE ECOSYSTEM SERVICES", "knowledge integration", "Crop and Pasture Production", "101028 Mathematical modelling", "570", "DIFFUSE-REFLECTANCE SPECTROSCOPY", "Environmental Engineering", "international soil modeling consortium", "0207 environmental engineering", "Soil Science", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "arbuscular mycorrhizal fungi", "soil science", "ORGANIC-MATTER DYNAMICS", "QH301", "ANZSRC::0503 Soil Sciences", "Life Science", "SEDIMENT TRANSPORT MODELS", "data integration", "sediment transport models", "approche ecosyst\u00e9mique", "mod\u00e9lisation", "0105 earth and related environmental sciences", "ground-penetrating radar", "info:eu-repo/classification/ddc/550", "soil modeling", "ANZSRC::080110 Simulation and Modelling", "ROOT WATER-UPTAKE", "15. Life on land", "multiple ecosystem services", "root water-uptake", "13. Climate action", "Earth and Environmental Sciences", "Soil Sciences", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "Earth Sciences", "101028 Mathematische Modellierung", "saturated-unsaturated flow", "root water-uptake", " sediment transport models", " diffuse-reflectance spectroscopy", " arbuscular mycorrhizal fungi", " multiple ecosystem services", " saturated-unsaturated flow", " ground-penetrating radar", " synthetic-aperture radar", " digital elevation model", " organic-matter dynamics.", "DIGITAL ELEVATION MODEL"]}, "links": [{"href": "http://onlinelibrary.wiley.com/wol1/doi/10.2136/vzj2015.09.0131/fullpdf"}, {"href": "https://escholarship.org/content/qt6976n34c/qt6976n34c.pdf"}, {"href": "https://doi.org/10.2136/vzj2015.09.0131"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Vadose%20Zone%20Journal", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.2136/vzj2015.09.0131", "name": "item", "description": "10.2136/vzj2015.09.0131", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.2136/vzj2015.09.0131"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-05-01T00:00:00Z"}}, {"id": "10.3390/rs8110938", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-09-22T16:19:28Z", "type": "Journal Article", "created": "2016-11-11", "title": "Data Service Platform for Sentinel-2 Surface Reflectance and Value-Added Products: System Use and Examples", "description": "<p>This technical note presents the first Sentinel-2 data service platform for obtaining atmospherically-corrected images and generating the corresponding value-added products for any land surface on Earth. Using the European Space Agency\uffe2\uff80\uff99s (ESA) Sen2Cor algorithm, the platform processes ESA\uffe2\uff80\uff99s Level-1C top-of-atmosphere reflectance to atmospherically-corrected bottom-of-atmosphere (BoA) reflectance (Level-2A). The processing runs on-demand, with a global coverage, on the Earth Observation Data Centre (EODC), which is a public-private collaborative IT infrastructure in Vienna (Austria) for archiving, processing, and distributing Earth observation (EO) data. Using the data service platform, users can submit processing requests and access the results via a user-friendly web page or using a dedicated application programming interface (API). Building on the processed Level-2A data, the platform also creates value-added products with a particular focus on agricultural vegetation monitoring, such as leaf area index (LAI) and broadband hemispherical-directional reflectance factor (HDRF). An analysis of the performance of the data service platform, along with processing capacity, is presented. Some preliminary consistency checks of the algorithm implementation are included to demonstrate the expected product quality. In particular, Sentinel-2 data were compared to atmospherically-corrected Landsat-8 data for six test sites achieving a R2 = 0.90 and Root Mean Square Error (RMSE) = 0.031. LAI was validated for one test site using ground estimations. Results show a very good agreement (R2 = 0.83) and a RMSE of 0.32 m2/m2 (12% of mean value).</p>", "keywords": ["550", "reflectance", "t\u00e9l\u00e9d\u00e9tection", "Science", "0211 other engineering and technologies", "02 engineering and technology", "7. Clean energy", "remote sensing", "Traitement du signal et de l'image", "atmospheric correction", "remote sensing;sentinel-2;atmospheric correction;Sen2Cor;LAI;broadband HDRF", "[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing", "9. Industry and infrastructure", "sentinel-2", "Q", "Signal and Image processing", "04 agricultural and veterinary sciences", "broadband HDRF", "620", "LAI", "atmosph\u00e8re", "Sen2Cor", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "Sentinel-2", "[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing", "donn\u00e9e satellitaire"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/8/11/938/pdf"}, {"href": "https://doi.org/10.3390/rs8110938"}, {"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/rs8110938", "name": "item", "description": "10.3390/rs8110938", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs8110938"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-11-11T00:00:00Z"}}, {"id": "10.3390/coatings9110749", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-09-22T16:19:20Z", "type": "Journal Article", "created": "2019-11-12", "title": "Advanced Analysis of Corroded Solar Reflectors", "description": "<p>The corrosion of the reflective layer is one of the main degradation mechanisms of solar reflectors. However, the appropriate assessment of the corroded reflector samples is not accomplished by the current analysis techniques. On the one hand, the reflectance measurement protocol of non-damaged solar reflectors for concentrating solar thermal technologies is widely addressed in the SolarPACES reflectance guideline. However, this methodology is not adequate for reflectors whose surface is partially corroded by many kind of corrosion agents. In this work, a new measurement technique to properly assess corroded samples was developed. To check the usefulness of the method, several damaged samples (subjected to two accelerated aging tests) were evaluated with the conventional technique and with the improved one. The results showed that a significant discrepancy is observed between the two methods for heavily corroded samples, with average reflectance differences of 0.053 ppt. The visualization of the reflector images illustrated that the improved method is more reliable. On the other hand, both the corrosion products formed and the corrosion rates were identified after each corrosive test. The chemical atmosphere significantly affects the products formed, whereas the corrosion rates are influenced by the test conditions and the reflector quality.</p>", "keywords": ["monochromatic specular reflectance", "13. Climate action", "solar hemispherical reflectance", "0211 other engineering and technologies", "0202 electrical engineering", " electronic engineering", " information engineering", "corrosion product", "improved measurement method", "Qualifizierung", "02 engineering and technology", "concentrating solar thermal energy", "corrosion rate", "7. Clean energy", "corroded solar reflector"]}, "links": [{"href": "http://www.mdpi.com/2079-6412/9/11/749/pdf"}, {"href": "https://elib.dlr.de/130853/1/2019%20Buendia%20Advanced%20Analysis%20of%20Corroded%20Solar%20Reflectors.pdf"}, {"href": "https://www.mdpi.com/2079-6412/9/11/749/pdf"}, {"href": "https://doi.org/10.3390/coatings9110749"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Coatings", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/coatings9110749", "name": "item", "description": "10.3390/coatings9110749", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/coatings9110749"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-11-11T00:00:00Z"}}, {"id": "10.3390/land11060774", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-09-22T16:19:23Z", "type": "Journal Article", "created": "2022-05-25", "title": "Investigating Plant Response to Soil Characteristics and Slope Positions in a Small Catchment", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Methods enabling stakeholders to receive information on plant stress in agricultural settings in a timely manner can help mitigate a possible decrease in plant productivity. The present work aims to study the soil\u2013plant interaction using field measurements of plant reflectance, soil water content, and selected soil physical and chemical parameters. Particular emphasis was placed on sloping transects. We further compared ground- and Sentinel-2 satellite-based Normalized Vegetation Index (NDVI) time series data in different land use types. The Photochemical Reflectance Index (PRI) and NDVI were measured concurrently with calculating the fraction of absorbed photochemically active radiation (fAPAR) and leaf area index (LAI) values of three vegetation types (a grassland, three vineyard sites, and a cropland with maize). Each land use site had an upper and a lower study point of a given slope. The NDVI, fAPAR, and LAI averaged values were the lowest for the grassland (0.293, 0.197, and 0.51, respectively), which showed the highest signs of water stress. Maize had the highest NDVI values (0.653) among vegetation types. Slope position affected NDVI, PRI, and fAPAR values significantly for the grassland and cropland (p &lt; 0.05), while the soil water content (SWC) was different for all three vineyard sites (p &lt; 0.05). The strongest connections were observed between soil physical and chemical parameters and NDVI values for the vineyard samples and the selected soil parameters and PRI for the grassland. Measured and satellite-retrieved NDVI values of the different land use types were compared, and strong correlations (r = 0.761) between the methods were found. For the maize, the satellite-based NDVI values were higher, while for the grassland they were slightly lower compared to the field-based measurements. Our study indicated that incorporating Sentinel-derived NDVI can greatly improve the value of field monitoring and provides an opportunity to extend field research in more depth. The present study further highlights the close relations in the soil\u2013plant\u2013water system, and continuous monitoring can greatly help in developing site-specific climate change mitigating methods.</p></article>", "keywords": ["2. Zero hunger", "land use sites", "NDVI", "S", "Agriculture", "soil parameters", "04 agricultural and veterinary sciences", "15. Life on land", "spectral reflectance", "satellite imagery", "plant stress", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "land use sites; soil parameters; plant stress; spectral reflectance; NDVI; satellite imagery"]}, "links": [{"href": "http://www.mdpi.com/2073-445X/11/6/774/pdf"}, {"href": "https://www.mdpi.com/2073-445X/11/6/774/pdf"}, {"href": "https://doi.org/10.3390/land11060774"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Land", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/land11060774", "name": "item", "description": "10.3390/land11060774", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/land11060774"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-05-25T00:00:00Z"}}, {"id": "10.3390/rs13091616", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:19:27Z", "type": "Journal Article", "created": "2021-04-22", "title": "Potential of Sentinel-2 Satellite Images for Monitoring Green Waste Compost and Manure Amendments in Temperate Cropland", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Increasing attention has been placed on the agroecological impact of applying exogenous organic matter (EOM) amendments, such as green waste compost (GWC) and livestock manure, to agricultural landscapes. However, monitoring the frequency and locality of this practice poses a major challenge, as these events are typically unreported. The purpose of this study is to evaluate the utility of Sentinel-2 imagery for the detection of EOM amendments. Specifically, we investigated the spectral shift resulting from GWC and manure application at two spatial scales, satellite and proximal. At the satellite scale, multispectral Sentinel-2 image pairs were analyzed before and after EOM application to six cultivated fields in the Versailles Plain, France. At the proximal scale, multi-temporal spectral field measurements were taken of experimental plots consisting of 14 total treatments: EOM variety, amendment quantity (15, 30 and 60 t.ha\u22121) and tillage. The Sentinel-2 images showed significant spectral differences before and after EOM application. Exogenous Organic Matter Indices (EOMI) were developed and analyzed for separative performance. The best performing index was EOMI2, using the B4 and B12 Sentinel-2 spectral bands. At the proximal scale, simulated Sentinel-2 reflectance spectra, which were created using field measurements, successfully monitored all EOM treatments for three days, except for the buried green waste compost at a rate of 15 t.ha\u22121.</p></article>", "keywords": ["agroecology", "reflectance", "[SPI] Engineering Sciences [physics]", "amendments", "Science", "[SDV.SA.AGRO]Life Sciences [q-bio]/Agricultural sciences/Agronomy", "[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study", "01 natural sciences", "7. Clean energy", "630", "[SPI]Engineering Sciences [physics]", "11. Sustainability", "[SDV.SA.SDS] Life Sciences [q-bio]/Agricultural sciences/Soil study", "0105 earth and related environmental sciences", "[SDV.SA.AGRO] Life Sciences [q-bio]/Agricultural sciences/Agronomy", "2. Zero hunger", "[SDV.SA] Life Sciences [q-bio]/Agricultural sciences", "Q", "04 agricultural and veterinary sciences", "15. Life on land", "soil organic carbon", "13. Climate action", "tillage", "0401 agriculture", " forestry", " and fisheries", "[SDE.IE] Environmental Sciences/Environmental Engineering", "Sentinel-2", "exogenous organic matter"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/13/9/1616/pdf"}, {"href": "https://www.mdpi.com/2072-4292/13/9/1616/pdf"}, {"href": "https://doi.org/10.3390/rs13091616"}, {"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/rs13091616", "name": "item", "description": "10.3390/rs13091616", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs13091616"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-04-21T00:00:00Z"}}, {"id": "10.3390/rs13214195", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:19:28Z", "type": "Journal Article", "created": "2021-10-20", "title": "Sentinel-2 Recognition of Uncovered and Plastic Covered Agricultural Soil", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Medium resolution satellite data, such as Sentinel-2 of the Copernicus programme, offer great new opportunities for the agricultural sector, and provide insights on soil surface characteristics and their management. Soil monitoring requires a high-quality dataset of uncovered and plastic covered agricultural soil. We developed a methodology to identify uncovered soil pixels in agricultural parcels during seedbed preparation and considered the impacts of clouds and shadows, vegetation cover, and artificial covers, such as those of greenhouses and plastic mulch films. We preserved the spatial and temporal integrity of parcels in the process and analysed spectral anomalies and their sources. The approach is based on freely available tools, namely Google Earth Engine and R Programming packages. We tested the methodology on the northern region of Belgium, which is characterised by small, fragmented parcels. We selected a period between mid-April to end-May, when active agricultural management practices leave the soil bare in preparation for the main cropping season. The spectral angle mapper was used to identify soil covered by non-plastic greenhouses or temporary soil covers, such as plastic mulch films. The effect of underlying soil on temporary covers was considered. The retrogressive plastic greenhouse index was used for detecting plastic greenhouses. The result was a high quality dataset of potential bare uncovered agricultural soil that allows further soil surface characterisation. This offered an improved understanding of the use of artificial covers, their spatial distribution, and their corresponding crops during the considered period. Artificial covers occurred most frequently in maize parcels. The approach resulted in precision values exceeding 0.9 for the detection of temporary covers and non-plastic greenhouses and a sensitivity value exceeding 0.95 for non-plastic and plastic greenhouses.</p></article>", "keywords": ["Technology", "SURFACE", "Science", "Environmental Sciences & Ecology", "TEXTURE", "artificial cover", "ALMERIA", "0203 Classical Physics", "soil", "Remote Sensing", "SUPPORT", "0909 Geomatic Engineering", "Geosciences", " Multidisciplinary", "Imaging Science & Photographic Technology", "agriculture", "2. Zero hunger", "plastic mulch", "Science & Technology", "IDENTIFICATION", "soil; agriculture; Sentinel-2; artificial cover; plastic mulch", "Q", "Geology", "04 agricultural and veterinary sciences", "15. Life on land", "CLOUD", "REFLECTANCE", "RESOLUTION", "13. Climate action", "Physical Sciences", "0401 agriculture", " forestry", " and fisheries", "4013 Geomatic engineering", "Sentinel-2", "GREENHOUSE", "0406 Physical Geography and Environmental Geoscience", "Life Sciences & Biomedicine", "3701 Atmospheric sciences", "Environmental Sciences", "3709 Physical geography and environmental geoscience"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/13/21/4195/pdf"}, {"href": "https://www.mdpi.com/2072-4292/13/21/4195/pdf"}, {"href": "https://doi.org/10.3390/rs13214195"}, {"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/rs13214195", "name": "item", "description": "10.3390/rs13214195", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs13214195"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-10-20T00:00:00Z"}}, {"id": "10.5061/dryad.8382j4r", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:19:44Z", "type": "Dataset", "title": "Data from: Spatial variation and linkages of soil and vegetation in the Siberian Arctic tundra \u2013 coupling field observations with remote sensing data", "description": "unspecifiedPlant, soil and remote  sensing attributes of a Siberian Arctic sitePlant and soil data of  study plots were collected in the field in summer 2014. NDVI and  topographical attributes were later extracted from three satellite images,  portraying the field site and vegetation in three different years at 180,  220 and 750 DD (growing degree days with 0 C threshold). Plant species  presence (1 in data) and absence (0 in data) in study plots is available  for dicotyledonous vascular plants. Land cover types are based on  ground-based visual judgement.Mikola et al.  2018_Biogeosciences.xlsx", "keywords": ["Vascular plant", "Satellite image", "soil temperature", "reflectance", "Permafrost", "spatial variation", "Spatial extrapolation", "Salix", "15. Life on land", "Betula nana", "moss", "Ecosystem carbon exchange", "LAI", "Sphagnum", "Carex", "Eriophorum", "13. Climate action", "Land cover type"], "contacts": [{"organization": "Mikola, Juha, Virtanen, Tarmo, Linkosalmi, Maiju, V\u00e4h\u00e4, Emmi, Nyman, Johanna, Postanogova, Olga, R\u00e4s\u00e4nen, Aleksi, Kotze, D. Johan, Laurila, Tuomas, Juutinen, Sari, Kondratyev, Vladimir, Aurela, Mika,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.8382j4r"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.8382j4r", "name": "item", "description": "10.5061/dryad.8382j4r", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.8382j4r"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-05-04T00:00:00Z"}}, {"id": "10.5281/zenodo.14224783", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:20:32Z", "type": "Dataset", "title": "D.2.4_ProbeField_Field Measurements Examples Over 5 Case Studies_V1", "description": "This dataset comprises pre-processed field spectra, including 132 Bare Fiber and 29 SoilPRO\u00ae spectra collected from five distinct sites representing various applications. The SoilPRO\u00ae (SP) apparatus is specifically designed to measure the reflectance of undisturbed soil surfaces, with the portable spectrometers operating in the 350\u20132500 nm range, integrated into a fixed geometry setup with stable tungsten-halogen illumination. Due to the high stability of the SoilPRO\u00ae apparatus, each spectrum represents the average reflectance from three repetitions. Alongside spectral acquisition, several soil surface properties were measured, including hydrophobicity, measurement stability relative to the Contact Probe and Bare Fiber, and spatial variation across an extensive calibration area (1000 m\u00b2). The dataset also includes measurements of soil reflectance under low solar elevation conditions near the South Pole. Average spectra obtained with the SP apparatus for different bare soil surface covers and the comparison with spectra obtained with the Bare Fiber are also included.", "keywords": ["EJP SOIL", "ProbeField", "Field measurements", "Soil reflectance", "SoilPRO", "Soil surface properties"], "contacts": [{"organization": "Ben Dor, Eyal, Granot, Amihai, Rony, Wallach, Francos, Nicolas, Heller Pearlstein, Daniela, Efrati, Bar, Bor\u016fvka, Lubo\u0161, Gholizadeh, Asa, Schmid, Thomas,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14224783"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14224783", "name": "item", "description": "10.5281/zenodo.14224783", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14224783"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-26T00:00:00Z"}}, {"id": "10.5281/zenodo.14224784", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:20:32Z", "type": "Dataset", "title": "D.2.4_ProbeField_Field Measurements Examples Over 5 Case Studies_V1", "description": "This dataset comprises pre-processed field spectra, including 132 Bare Fiber and 29 SoilPRO\u00ae spectra collected from five distinct sites representing various applications. The SoilPRO\u00ae (SP) apparatus is specifically designed to measure the reflectance of undisturbed soil surfaces, with the portable spectrometers operating in the 350\u20132500 nm range, integrated into a fixed geometry setup with stable tungsten-halogen illumination. Due to the high stability of the SoilPRO\u00ae apparatus, each spectrum represents the average reflectance from three repetitions. Alongside spectral acquisition, several soil surface properties were measured, including hydrophobicity, measurement stability relative to the Contact Probe and Bare Fiber, and spatial variation across an extensive calibration area (1000 m\u00b2). The dataset also includes measurements of soil reflectance under low solar elevation conditions near the South Pole. Average spectra obtained with the SP apparatus for different bare soil surface covers and the comparison with spectra obtained with the Bare Fiber are also included.", "keywords": ["EJP SOIL", "ProbeField", "Field measurements", "Soil reflectance", "SoilPRO", "Soil surface properties"], "contacts": [{"organization": "Ben Dor, Eyal, Granot, Amihai, Rony, Wallach, Francos, Nicolas, Heller Pearlstein, Daniela, Efrati, Bar, Bor\u016fvka, Lubo\u0161, Gholizadeh, Asa, Schmid, Thomas,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14224784"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14224784", "name": "item", "description": "10.5281/zenodo.14224784", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14224784"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-26T00:00:00Z"}}, {"id": "10.5194/egusphere-2024-157", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:19:55Z", "type": "Journal Article", "created": "2024-01-23", "title": "Probing Iceland's Dust-Emitting Sediments: Particle Size Distribution, Mineralogy, Cohesion, Fe Mode of Occurrence, and Reflectance Spectra Signatures", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Characterizing physico-chemical properties of dust-emitting sediments in arid regions is fundamental to understand the effect of dust on climate and ecosystems. For high-latitude dust (HLD), this knowledge is scarce. This study focuses on the particle size distribution (PSD), mineralogy, cohesion, iron (Fe) mode of occurrence and Visible Near Infra-Red (VNIR) reflectance spectra of dust-emitting sediments from dust-hotspots in Iceland (HLD region). Extensive analysis was conducted on top sediments collected from seven dust-sources and an intensive at Jokuls\u00e1 basin including top sediments, sediments and aeolian ripples. Fully and minimally dispersed PSDs evidenced remarkable similarities with an average median diameter of 56\u00b169 and 55\u00b162 \u00b5m. Mineralogical analyses showed the prevalence of amorphous phases (68\u00b126 %), feldspars (17\u00b113 %), and pyroxenes (9.3\u00b17.2 %), aligned with the reflectance spectra. Fe content reached 9.5\u00b10.40 wt %, mainly in silicate structures (80\u00b16.3 %), complemented by magnetite (16\u00b15.5 %), hematite/goethite (4.5\u00b12.7 %), and readily exchangeable Fe-ions or Fe nano-oxides (1.6\u00b10.63 %). Icelandic top sediments have coarser PSD compared to the high dust-emitting crusts from mid-latitude arid regions, distinctive mineralogy, and threefold bulk Fe content, with a large presence of magnetite. The congruence between fully and minimally dispersed PSDs underscores a reduced particle aggregation and cohesion of Icelandic top sediments, suggesting that aerodynamic entrainment of dust may also play a role upon emission in this region, aside of saltation bombardment. The analysis of an extensive sampling in Dyngjusandur allowed this study to present a conceptual model to encapsulate Iceland's rapidly evolving high dust-emitting environments.                         </p></article>", "keywords": ["550", "QC1-999", "Iron", "Iceland", "Reflectance", "01 natural sciences", "\u00c0rees tem\u00e0tiques de la UPC::Desenvolupament hum\u00e0 i sostenible::Enginyeria ambiental", "Make cities and human settlements inclusive", " safe", " resilient and sustainable", "Physicochemical property", "11. Sustainability", "Pols", "14. Life underwater", "QD1-999", "Ensure healthy lives and promote well-being for all at all ages", "0105 earth and related environmental sciences", "info:eu-repo/classification/ddc/550", "ddc:550", "Physics", "Sediments (Geologia)", "Sediments (Geology)", "Dust", "Particle size", "Size distribution", "15. Life on land", "Mineralogy", "Pollution", "Earth sciences", "Chemistry", "13. Climate action", "Cohesion"]}, "links": [{"href": "https://acp.copernicus.org/articles/24/6883/2024/acp-24-6883-2024.pdf"}, {"href": "https://doi.org/10.5194/egusphere-2024-157"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Atmospheric%20Chemistry%20and%20Physics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/egusphere-2024-157", "name": "item", "description": "10.5194/egusphere-2024-157", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/egusphere-2024-157"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-22T00:00:00Z"}}, {"id": "10.5281/zenodo.13844801", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:20:23Z", "type": "Journal Article", "created": "2023-08-11", "title": "Exploitation of the SoilPRO\u00ae (SP) apparatus to measure soil surface reflectance in the field: Five case studies", "description": "The SoilPRO\u00ae (SP) is an assembly designed to acquire soil reflectance information in the field without disturbing the soil surface, and regardless of atmospheric and solar radiation conditions. This paper summarizes five case studies in which the SP assembly was used for different applications. The case studies consisted of: (1) generating surface spectral measurements under any atmospheric condition; (2) comparing the performance of the SP to the traditional bare fiber method for vicarious calibration of hyperspectral satellite sensors; (3) assessing water repellency of a soil surface governed by organic matter hydrophobicity; (4) spatial prediction of the rate of water infiltration into the soil profile as governed by the soil surface seal; and (5) using the SP apparatus to measure soil surface reflectance in South Shetland Island, Antartica under severe weather conditions. The case studies included calculation of spectral quality, prediction accuracy and measurement stability. The paper discusses each of the cases in detail and concludes that the SP (or similar assembly) is the best way to measure the reflectance of the original soil surface in the field. In the first case study, the spectrum collected by the SP under daily changing illumination was shown to be stable relative to the traditional measurement methods of contact probe or bare fiber. The second case study indicated that use of the SP for vicarious calibration is much more efficient (in terms of time and stability) than ground-truth practice over a large area, and in the third case study, the SP was able to assess a soil surface property governed by organic matter hydrophobicity better than the contact probe, which destroys the soil surface organic seal. A similar achievement was gained in the fourth case study, providing a better assessment of the water-infiltration rate into the soil. In the fifth case study, the SP demonstrated impressive high-quality acquisition of soil surface reflectance with a very low sun angle over the South Pole. Based on these case studies and the high quality of the data generated by the SP in the field, we suggest building, in parallel to the classical soil spectral libraries generated in the laboratory, field soil spectral libraries that will preserve the soil surface properties scanned in the field. We anticipate the development of more applications for the SP assembly based on the capabilities shown in this paper.", "keywords": ["EJP SOIL", "ProbeField", "Field measurements", "Science", "Soil reflectance", "EJPSOIL", "Q", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "01 natural sciences", "SoilPRO", "Soil surface properties", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13844801"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoderma", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13844801", "name": "item", "description": "10.5281/zenodo.13844801", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13844801"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-10-01T00:00:00Z"}}, {"id": "10.5281/zenodo.7079610", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:21:12Z", "type": "Report", "title": "Spectral reflectance indices as a phenotyping tool for assessing morpho-physiological traits of winter wheat (Triticum aestivum L.)", "description": "Morpho-physiological traits of wheat such as a grain weight per plant, total leaf chlorophyll content, carotenoids, relative dry matter and nitrogen content are important traits for the growth of winter wheat genotypes. However, methods to estimate these traits are laborious and destructive. Spectral reflectance indices based on combination of visible and near-infrared wavelengths such as NDVI (Normalized Difference Vegetation Index), represent one of the most promising tools for application in field phenotyping with potential to provide complex information on different morpho-physiological traits of wheat. The aim of this study was to assess the utility of NDVI measurements of wheat canopy in identification of a specific growth stage in which remotely sensed data show the largest correlation with final grain yield, grain weight per plant, total leaf chlorophyll and carotenoid content, relative dry matter and nitrogen content in 29 winter wheat (Triticum aestivum L.) genotypes. The NDVI was measured using an active hand-held sensor GreenSeeker (NTech Industries Inc., Ukiah, California, USA) and hyperspectral camera (Ximea Corp., Lakewood, CO USA) at four growth stages of wheat: full flowering (BBCH 65), medium milk (BBCH 75), early dough (BBCH 83) and fully ripe stage (BBCH 89). Overall 66 different hyperspectral NDVIs were calculated from two-band combinations between red (600-700 nm) or far red (700-740 nm) and near-infrared (756-946 nm) regions. Pearson's correlation coefficient was used to explore the relationship among examined traits and NDVI measured at different growth stages of wheat. Obtained results indicate that most of observed NDVI indices showed negative correlation with the relative dry matter content at all observed growth stages. Significant positive correlations (higher than 0.6 and significant at P &lt; 0.05) were found between the specific hyperspectral NDVis measured at medium milk stage and grain weight per plant, total leaf chlorophyll, carotenoid and nitrogen content, as well as with final grain yield of wheat. The strong positive relationship between NDVI and examined traits found at medium milk stage suggests that this stage is the most appropriate for estimation of these traits of winter wheat in semiarid or similar wheat growing conditions. The overall results indicate that spectral reflectance tools based on combined visible and near-infrared wavelengths, such as NDVI, could be successfully applied to assess morpho-physiological traits of a large number of winter wheat genotypes in a rapid and non-destructive manner. Furthermore, although neither device appeared to have a sizeable advantage over the other, NDVI acquired by hyperspectral camera does appear to be more indicative than NDVI acquired by GreenSeeker sensor, suggesting that alternative spectral combinations can be used in assessing targeted traits of winter wheat genotypes.", "keywords": ["2. Zero hunger", "spectral reflectance indices", "phenotyping", "wheat", "tools", "15. Life on land", "morpho-physiological traits"], "contacts": [{"organization": "Ljubi\u010di\u0107, Nata\u0161a, Marko, Oskar, Maksimovi\u0107, Ivana, Pani\u0107, Marko, Putnik-Deli\u0107, Marina, Kosti\u0107, Marko, Dani\u010di\u0107, Milena, Brdar, Sanja, Jevti\u0107, Radivoje, Crnojevi\u0107, Vladimir,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.7079610"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.7079610", "name": "item", "description": "10.5281/zenodo.7079610", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.7079610"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-01-01T00:00:00Z"}}, {"id": "21.15107/rcub_fiver_4555", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:22:37Z", "type": "Report", "title": "Spectral reflectance indices as a phenotyping tool for assessing morpho-physiological traits of winter wheat (Triticum aestivum L.)", "description": "Morpho-physiological traits of wheat such as a grain weight per plant, total leaf chlorophyll content, carotenoids, relative dry matter and nitrogen content are important traits for the growth of winter wheat genotypes. However, methods to estimate these traits are laborious and destructive. Spectral reflectance indices based on combination of visible and near-infrared wavelengths such as NDVI (Normalized Difference Vegetation Index), represent one of the most promising tools for application in field phenotyping with potential to provide complex information on different morpho-physiological traits of wheat. The aim of this study was to assess the utility of NDVI measurements of wheat canopy in identification of a specific growth stage in which remotely sensed data show the largest correlation with final grain yield, grain weight per plant, total leaf chlorophyll and carotenoid content, relative dry matter and nitrogen content in 29 winter wheat (Triticum aestivum L.) genotypes. The NDVI was measured using an active hand-held sensor GreenSeeker (NTech Industries Inc., Ukiah, California, USA) and hyperspectral camera (Ximea Corp., Lakewood, CO USA) at four growth stages of wheat: full flowering (BBCH 65), medium milk (BBCH 75), early dough (BBCH 83) and fully ripe stage (BBCH 89). Overall 66 different hyperspectral NDVIs were calculated from two-band combinations between red (600-700 nm) or far red (700-740 nm) and near-infrared (756-946 nm) regions. Pearson's correlation coefficient was used to explore the relationship among examined traits and NDVI measured at different growth stages of wheat. Obtained results indicate that most of observed NDVI indices showed negative correlation with the relative dry matter content at all observed growth stages. Significant positive correlations (higher than 0.6 and significant at P &lt; 0.05) were found between the specific hyperspectral NDVis measured at medium milk stage and grain weight per plant, total leaf chlorophyll, carotenoid and nitrogen content, as well as with final grain yield of wheat. The strong positive relationship between NDVI and examined traits found at medium milk stage suggests that this stage is the most appropriate for estimation of these traits of winter wheat in semiarid or similar wheat growing conditions. The overall results indicate that spectral reflectance tools based on combined visible and near-infrared wavelengths, such as NDVI, could be successfully applied to assess morpho-physiological traits of a large number of winter wheat genotypes in a rapid and non-destructive manner. Furthermore, although neither device appeared to have a sizeable advantage over the other, NDVI acquired by hyperspectral camera does appear to be more indicative than NDVI acquired by GreenSeeker sensor, suggesting that alternative spectral combinations can be used in assessing targeted traits of winter wheat genotypes.", "keywords": ["2. Zero hunger", "spectral reflectance indices", "phenotyping", "wheat", "tools", "15. Life on land", "morpho-physiological traits"], "contacts": [{"organization": "Ljubi\u010di\u0107, Nata\u0161a, Marko, Oskar, Maksimovi\u0107, Ivana, Pani\u0107, Marko, Putnik-Deli\u0107, Marina, Kosti\u0107, Marko, Dani\u010di\u0107, Milena, Brdar, Sanja, Jevti\u0107, Radivoje, Crnojevi\u0107, Vladimir,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/21.15107/rcub_fiver_4555"}, {"rel": "self", "type": "application/geo+json", "title": "21.15107/rcub_fiver_4555", "name": "item", "description": "21.15107/rcub_fiver_4555", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/21.15107/rcub_fiver_4555"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-01-01T00:00:00Z"}}, {"id": "2117/411965", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:22:38Z", "type": "Journal Article", "created": "2024-01-23", "title": "Probing Iceland's Dust-Emitting Sediments: Particle Size Distribution, Mineralogy, Cohesion, Fe Mode of Occurrence, and Reflectance Spectra Signatures", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Characterizing physico-chemical properties of dust-emitting sediments in arid regions is fundamental to understand the effect of dust on climate and ecosystems. For high-latitude dust (HLD), this knowledge is scarce. This study focuses on the particle size distribution (PSD), mineralogy, cohesion, iron (Fe) mode of occurrence and Visible Near Infra-Red (VNIR) reflectance spectra of dust-emitting sediments from dust-hotspots in Iceland (HLD region). Extensive analysis was conducted on top sediments collected from seven dust-sources and an intensive at Jokuls\u00e1 basin including top sediments, sediments and aeolian ripples. Fully and minimally dispersed PSDs evidenced remarkable similarities with an average median diameter of 56\u00b169 and 55\u00b162 \u00b5m. Mineralogical analyses showed the prevalence of amorphous phases (68\u00b126 %), feldspars (17\u00b113 %), and pyroxenes (9.3\u00b17.2 %), aligned with the reflectance spectra. Fe content reached 9.5\u00b10.40 wt %, mainly in silicate structures (80\u00b16.3 %), complemented by magnetite (16\u00b15.5 %), hematite/goethite (4.5\u00b12.7 %), and readily exchangeable Fe-ions or Fe nano-oxides (1.6\u00b10.63 %). Icelandic top sediments have coarser PSD compared to the high dust-emitting crusts from mid-latitude arid regions, distinctive mineralogy, and threefold bulk Fe content, with a large presence of magnetite. The congruence between fully and minimally dispersed PSDs underscores a reduced particle aggregation and cohesion of Icelandic top sediments, suggesting that aerodynamic entrainment of dust may also play a role upon emission in this region, aside of saltation bombardment. The analysis of an extensive sampling in Dyngjusandur allowed this study to present a conceptual model to encapsulate Iceland's rapidly evolving high dust-emitting environments.                         </p></article>", "keywords": ["550", "QC1-999", "Iron", "Iceland", "Reflectance", "01 natural sciences", "\u00c0rees tem\u00e0tiques de la UPC::Desenvolupament hum\u00e0 i sostenible::Enginyeria ambiental", "Physicochemical property", "11. Sustainability", "Pols", "14. Life underwater", "QD1-999", "0105 earth and related environmental sciences", "info:eu-repo/classification/ddc/550", "ddc:550", "Physics", "Sediments (Geologia)", "Sediments (Geology)", "Dust", "Particle size", "Size distribution", "15. Life on land", "Mineralogy", "Earth sciences", "Chemistry", "13. Climate action", "Cohesion"]}, "links": [{"href": "https://acp.copernicus.org/articles/24/6883/2024/acp-24-6883-2024.pdf"}, {"href": "https://doi.org/2117/411965"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Atmospheric%20Chemistry%20and%20Physics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2117/411965", "name": "item", "description": "2117/411965", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2117/411965"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-22T00:00:00Z"}}, {"id": "10261/361903", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:21:59Z", "type": "Journal Article", "created": "2024-01-23", "title": "Probing Iceland's Dust-Emitting Sediments: Particle Size Distribution, Mineralogy, Cohesion, Fe Mode of Occurrence, and Reflectance Spectra Signatures", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Characterizing physico-chemical properties of dust-emitting sediments in arid regions is fundamental to understand the effect of dust on climate and ecosystems. For high-latitude dust (HLD), this knowledge is scarce. This study focuses on the particle size distribution (PSD), mineralogy, cohesion, iron (Fe) mode of occurrence and Visible Near Infra-Red (VNIR) reflectance spectra of dust-emitting sediments from dust-hotspots in Iceland (HLD region). Extensive analysis was conducted on top sediments collected from seven dust-sources and an intensive at Jokuls\u00e1 basin including top sediments, sediments and aeolian ripples. Fully and minimally dispersed PSDs evidenced remarkable similarities with an average median diameter of 56\u00b169 and 55\u00b162 \u00b5m. Mineralogical analyses showed the prevalence of amorphous phases (68\u00b126 %), feldspars (17\u00b113 %), and pyroxenes (9.3\u00b17.2 %), aligned with the reflectance spectra. Fe content reached 9.5\u00b10.40 wt %, mainly in silicate structures (80\u00b16.3 %), complemented by magnetite (16\u00b15.5 %), hematite/goethite (4.5\u00b12.7 %), and readily exchangeable Fe-ions or Fe nano-oxides (1.6\u00b10.63 %). Icelandic top sediments have coarser PSD compared to the high dust-emitting crusts from mid-latitude arid regions, distinctive mineralogy, and threefold bulk Fe content, with a large presence of magnetite. The congruence between fully and minimally dispersed PSDs underscores a reduced particle aggregation and cohesion of Icelandic top sediments, suggesting that aerodynamic entrainment of dust may also play a role upon emission in this region, aside of saltation bombardment. The analysis of an extensive sampling in Dyngjusandur allowed this study to present a conceptual model to encapsulate Iceland's rapidly evolving high dust-emitting environments.</p></article>", "keywords": ["550", "QC1-999", "Iron", "Iceland", "Reflectance", "http://metadata.un.org/sdg/3", "01 natural sciences", "\u00c0rees tem\u00e0tiques de la UPC::Desenvolupament hum\u00e0 i sostenible::Enginyeria ambiental", "Make cities and human settlements inclusive", " safe", " resilient and sustainable", "Physicochemical property", "11. Sustainability", "Pols", "14. Life underwater", "QD1-999", "Ensure healthy lives and promote well-being for all at all ages", "0105 earth and related environmental sciences", "info:eu-repo/classification/ddc/550", "ddc:550", "Physics", "Sediments (Geologia)", "Sediments (Geology)", "Dust", "Particle size", "Size distribution", "15. Life on land", "Mineralogy", "Pollution", "Earth sciences", "Chemistry", "13. Climate action", "Cohesion", "http://metadata.un.org/sdg/11"]}, "links": [{"href": "https://acp.copernicus.org/articles/24/6883/2024/acp-24-6883-2024.pdf"}, {"href": "https://doi.org/10261/361903"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Atmospheric%20Chemistry%20and%20Physics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/361903", "name": "item", "description": "10261/361903", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/361903"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-22T00:00:00Z"}}, {"id": "1854/LU-01GM39KW0F5ENNMCF40YD35GFY", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-09-22T16:22:20Z", "type": "Journal Article", "created": "2022-06-14", "title": "Potential of visible and near infrared spectroscopy coupled with machine learning for predicting soil metal concentrations at the regional scale", "description": "Chemical analytical methods for metal analysis in soils are laborious, time-consuming and costly. This paper aims to evaluate the potential of short-range (SR) and full-range (FR) visible and infrared spectroscopy (vis-NIR) combined with linear and nonlinear calibration methods to estimate concentrations of nickel (Ni), cobalt (Co), cadmium (Cd), lead (Pb) and copper (Cu) in soils. A total of 435 soil samples were collected over agricultural sites, forest (7 %), pasture (5 %) and fallow land across a region in the northern part of Belgium. Generally, better predictions were obtained when using partial least squares regression (PLSR) and nonlinear calibration method [i.e., random forest (RF)] for processing of the spectral data, than when using support vector machine (SVM). FR generally outperformed SR and provided the best prediction results for Ni (R<sup>2</sup><sub>p</sub> = 0.76), Co (R<sup>2</sup><sub>p</sub> = 0.77), Cd (R<sup>2</sup><sub>p</sub> = 0.64) and Pb (R<sup>2</sup><sub>p</sub> = 0.65), when using PLSR and RF. SVM produced the best prediction result only for Pb (R<sup>2</sup><sub>p</sub> = 0.57) using the SR spectra. The metals Ni, Co, Cd and Pb can be predicted successfully (good accuracy) from the FR vis-NIR spectra using PLSR for Co, and RF for Ni, Cd, Pb and Cu. Compared to the FR spectrophotometer, improvement in accuracy was obtained for Cd and Co, using the SR spectra when combined with PLSR and RF, respectively. It is concluded that the SR spectrometer can be used successfully for the prediction of Co with RF (R<sup>2</sup><sub>p</sub> = 0.70), while it best predicted Cd with PLSR with an R<sup>2</sup><sub>p</sub> value of 0.67, which is of value for regional survey.", "keywords": ["Spectroscopy", " Near-Infrared", "Support Vector Machine", "RANGE", "Machine", "Machine learning modelling", "learning modelling", "REFLECTANCE SPECTROSCOPY", "CONTAMINATION", "Soil", "Lead", "Soil contamination", "Nickel", "Metals", "Earth and Environmental Sciences", "Soil Pollutants", "Chemometrics", "Cadmium", "Near-infrared spectra"]}, "links": [{"href": "https://doi.org/1854/LU-01GM39KW0F5ENNMCF40YD35GFY"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Science%20of%20The%20Total%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1854/LU-01GM39KW0F5ENNMCF40YD35GFY", "name": "item", "description": "1854/LU-01GM39KW0F5ENNMCF40YD35GFY", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1854/LU-01GM39KW0F5ENNMCF40YD35GFY"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-10-01T00:00:00Z"}}, {"id": "1854/LU-8720112", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:22:21Z", "type": "Journal Article", "created": "2021-09-09", "title": "Diagnosis of cadmium contamination in urban and suburban soils using visible-to-near-infrared spectroscopy", "description": "Previous studies have mostly focused on using visible-to-near-infrared spectral technique to quantitatively estimate soil cadmium (Cd) content, whereas little attention has been paid to identifying soil Cd contamination from a perspective of spectral classification. Here, we developed a framework to compare the potential of two spectral transformations (i.e., raw reflectance and continuum removal [CR]), three optimization strategies (i.e., full-spectrum, Boruta feature selection, and synthetic minority over-sampling technique [SMOTE]), and three classification algorithms (i.e., partial least squares discriminant analysis, random forest [RF], and support vector machine) for diagnosing soil Cd contamination. A total of 536 soil samples were collected from urban and suburban areas located in Wuhan City, China. Specifically, Boruta and SMOTE strategies were aimed at selecting the most informative predictors and obtaining balanced training datasets, respectively. Results indicated that soils contaminated by Cd induced decrease in spectral reflectance magnitude. Classification models developed after Boruta and SMOTE strategies out-performed to those from full-spectrum. A diagnose model combining CR preprocessing, SMOTE strategy, and RF algorithm achieved the highest validation accuracy for soil Cd (Kappa = 0.74). This study provides a theoretical reference for rapid identification of and monitoring of soil Cd contamination in urban and suburban areas.", "keywords": ["DIFFUSE-REFLECTANCE SPECTROSCOPY", "HUMAN HEALTH", "PREDICTION", "POTENTIALLY TOXIC ELEMENTS", "Boruta algorithm", "01 natural sciences", "Visible-to-near-infrared spectroscopy", "NIR SPECTROSCOPY", "Soil", "ORGANIC-CARBON", "Machine learning", "11. Sustainability", "Soil Pollutants", "Least-Squares Analysis", "0105 earth and related environmental sciences", "Spectroscopy", " Near-Infrared", "RANDOM FOREST", "Urban and suburban soil Cd contamination", "04 agricultural and veterinary sciences", "15. Life on land", "QUANTITATIVE-ANALYSIS", "6. Clean water", "RIVER DELTA", "13. Climate action", "Earth and Environmental Sciences", "Synthetic minority over-sampling technique", "0401 agriculture", " forestry", " and fisheries", "HEAVY-METAL CONCENTRATIONS", "Cadmium"]}, "links": [{"href": "https://doi.org/1854/LU-8720112"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Pollution", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1854/LU-8720112", "name": "item", "description": "1854/LU-8720112", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1854/LU-8720112"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-12-01T00:00:00Z"}}, {"id": "20.500.11850/688246", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-09-22T16:22:32Z", "type": "Journal Article", "created": "2024-07-29", "title": "Hydro-pedotransfer functions: a roadmap for future development", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Hydro-pedotransfer functions\u00a0(PTFs) relate easy-to-measure and readily available soil information to soil hydraulic properties\u00a0(SHPs) for applications in a wide range of process-based and empirical models, thereby enabling the assessment of soil hydraulic effects on hydrological, biogeochemical, and ecological processes. At least more than 4 decades of research have been invested to derive such relationships. However, while models, methods, data storage capacity, and computational efficiency have advanced, there are fundamental concerns related to the scope and adequacy of current PTFs, particularly when applied to parameterise models used at the field scale and beyond. Most of the PTF development process has focused on refining and advancing the regression methods, while fundamental aspects have remained largely unconsidered. Most soil systems are not represented in PTFs, which have been built mostly for agricultural soils in temperate climates. Thus, existing PTFs largely ignore how parent material, vegetation, land use, and climate affect processes that shape SHPs. The PTFs used to parameterise the Richards\u2013Richardson equation are mostly limited to predicting parameters of the van\u00a0Genuchten\u2013Mualem soil hydraulic functions, despite sufficient evidence demonstrating their shortcomings. Another fundamental issue relates to the diverging scales of derivation and application, whereby PTFs are derived based on laboratory measurements while often being applied at the field to regional scales. Scaling, modulation, and constraining strategies exist to alleviate some of these shortcomings in the mismatch between scales. These aspects are addressed here in a joint effort by the members of the International Soil Modelling Consortium\u00a0(ISMC) Pedotransfer Functions Working Group with the aim of systematising PTF research and providing a roadmap guiding both PTF development and use. We close with a 10-point catalogue for funders and researchers to guide review processes and research.</p></article>", "keywords": ["Technology", "550", "Bodenanalyse", "Modell", "SPHAGNUM MOSS", "Environmental technology. Sanitary engineering", "630", "Ing\u00e9nierie", " informatique & technologie", "Biogeochemical process", "Earth and Planetary Sciences (miscellaneous)", "Geography. Anthropology. Recreation", "GE1-350", "SATURATED HYDRAULIC CONDUCTIVITY", "Geosciences", " Multidisciplinary", "TD1-1066", "Water Science and Technology", "2. Zero hunger", "T", "Geology", "Hydraulics effects", "Agriculture & agronomy", "Life sciences", "Daten", "Pedo-transfer functions", "6. Clean water", "Soil hydraulics", "REFLECTANCE SPECTROSCOPY", "Roadmap", "Physical Sciences", "Sciences du vivant", "Water Resources", "SOIL-WATER-RETENTION", "0406 Physical Geography and Environmental Geoscience", "3709 Physical geography and environmental geoscience", "Process-based modeling", "Environmental Engineering", "Physique", " chimie", " math\u00e9matiques & sciences de la terre", "PHYSICAL-PROPERTIES", "SENSITIVITY-ANALYSIS", "Soil hydraulic properties", "0905 Civil Engineering", "333", "G", "Physical", " chemical", " mathematical & earth Sciences", "Empirical model", "Agriculture & agronomie", "Life Science", "UNSATURATED CONDUCTIVITY", "SEASONAL-CHANGES", "Pedotransfer functions", "HYSTERETIC MOISTURE PROPERTIES", "info:eu-repo/classification/ddc/550", "Science & Technology", "3707 Hydrology", "Physikochemische Bodeneigenschaft", "500", "15. Life on land", "Engineering", " computing & technology", "Sciences de la terre & g\u00e9ographie physique", "Environmental sciences", "0907 Environmental Engineering", "13. Climate action", "ITC-ISI-JOURNAL-ARTICLE", "Earth sciences & physical geography", "HETEROGENEOUS SOILS", "4013 Geomatic engineering", "ITC-GOLD", "Hydrological process"]}, "links": [{"href": "https://orbi.uliege.be/bitstream/2268/321088/1/hess-28-3391-2024.pdf"}, {"href": "https://hess.copernicus.org/articles/28/3391/2024/hess-28-3391-2024.pdf"}, {"href": "https://doi.org/20.500.11850/688246"}, {"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": "20.500.11850/688246", "name": "item", "description": "20.500.11850/688246", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/20.500.11850/688246"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-07-29T00:00:00Z"}}, {"id": "20.500.14243/532031", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:22:34Z", "type": "Journal Article", "created": "2022-10-03", "title": "Mathematical techniques to remove moisture effects from visible\u2013near-infrared\u2013shortwave-infrared soil spectra\u2014review", "description": "This is an Accepted Manuscript of an article published by Taylor & Francis in Applied Spectroscopy Reviews on 03 October 2022, available at: https://doi.org/10.1080/05704928.2022.2128365", "keywords": ["EJP Soil", "Proximal Sensing", "ProbeField", "Soil Moisture", "04 agricultural and veterinary sciences", "algorithms", "01 natural sciences", "diffuse reflectance spectroscopy", "field-moist conditions", "EJPSOIL", "0401 agriculture", " forestry", " and fisheries", "indices", "Soil moisture", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://www.tandfonline.com/doi/pdf/10.1080/05704928.2022.2128365"}, {"href": "https://doi.org/20.500.14243/532031"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Applied%20Spectroscopy%20Reviews", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "20.500.14243/532031", "name": "item", "description": "20.500.14243/532031", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/20.500.14243/532031"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-10-03T00:00:00Z"}}, {"id": "2164/13497", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:22:39Z", "type": "Journal Article", "created": "2019-08-30", "title": "How to measure, report and verify soil carbon change to realize the potential of soil carbon sequestration for atmospheric greenhouse gas removal", "description": "Abstract<p>There is growing international interest in better managing soils to increase soil organic carbon (SOC) content to contribute to climate change mitigation, to enhance resilience to climate change and to underpin food security, through initiatives such as international \uffe2\uff80\uff984p1000\uffe2\uff80\uff99 initiative and the FAO's Global assessment of SOC sequestration potential (GSOCseq) programme. Since SOC content of soils cannot be easily measured, a key barrier to implementing programmes to increase SOC at large scale, is the need for credible and reliable measurement/monitoring, reporting and verification (MRV) platforms, both for national reporting and for emissions trading. Without such platforms, investments could be considered risky. In this paper, we review methods and challenges of measuring SOC change directly in soils, before examining some recent novel developments that show promise for quantifying SOC. We describe how repeat soil surveys are used to estimate changes in SOC over time, and how long\uffe2\uff80\uff90term experiments and space\uffe2\uff80\uff90for\uffe2\uff80\uff90time substitution sites can serve as sources of knowledge and can be used to test models, and as potential benchmark sites in global frameworks to estimate SOC change. We briefly consider models that can be used to simulate and project change in SOC and examine the MRV platforms for SOC change already in use in various countries/regions. In the final section, we bring together the various components described in this review, to describe a new vision for a global framework for MRV of SOC change, to support national and international initiatives seeking to effect change in the way we manage our soils.</p", "keywords": ["[SDE] Environmental Sciences", "550", "BULK-DENSITY", "[SDV]Life Sciences [q-bio]", "QH301 Biology", "Climate", "NEW-ZEALAND", "630", "Soil", "NE/M021327/1", "11. Sustainability", "SDG 13 - Climate Action", "AGRICULTURAL SOILS", "SDG 15 - Life on Land", "General Environmental Science", "agriculture", "2. Zero hunger", "Global and Planetary Change", "reporting", "Measurement", "Ecology", "IN-SITU", "Agricultura", "NE/P019455/1", "carbono org\u00e1nico del suelo", "Agriculture", "LAND-USE CHANGE", "04 agricultural and veterinary sciences", "[SDV] Life Sciences [q-bio]", "climate change", "Sustainability", "[SDE]Environmental Sciences", "Carbon Sequestration", "DIFFUSE-REFLECTANCE SPECTROSCOPY", "LONG-TERM EXPERIMENTS", "330", "Monitoring", "STOCK CHANGES", "MRV", "secuestro de carbon", "12. Responsible consumption", "QH301", "Greenhouse Gases", "ORGANIC-CARBON", "soil organic matter", "greenhouse gases", "Invited Research Reviews", "Environmental Chemistry", "774378", "SDG 2 - Zero Hunger", "European Commission", "resilience", "Climate Solutions", "Soil organic matter", "Soil organic carbon", "Natural Environment Research Council (NERC)", "Verification", "food security", "15. Life on land", "carbon sequestration", "Sustainable Agriculture", "Carbon", "EDDY-COVARIANCE", "soil organic carbon", "monitoring", "Reporting", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "measurement", "verification"]}, "links": [{"href": "https://onlinelibrary.wiley.com/doi/pdf/10.1111/gcb.14815"}, {"href": "https://scholarworks.uvm.edu/context/rsfac/article/1079/viewcontent/Lini2019b.pdf"}, {"href": "https://doi.org/2164/13497"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Global%20Change%20Biology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2164/13497", "name": "item", "description": "2164/13497", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2164/13497"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-10-06T00:00:00Z"}}, {"id": "2164/6134", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:22:40Z", "type": "Journal Article", "created": "2016-05-13", "title": "Modeling Soil Processes: Review, Key Challenges, and New Perspectives", "description": "Core Ideas                     <p>                                                                           <p>A community effort is needed to move soil modeling forward.</p>                                                                             <p>Establishing an international soil modeling consortium is key in this respect.</p>                                                                             <p>There is a need to better integrate existing knowledge in soil models.</p>                                                                             <p>Integration of data and models is a key challenge in soil modeling.</p>                                                                     </p>                     <p>The remarkable complexity of soil and its importance to a wide range of ecosystem services presents major challenges to the modeling of soil processes. Although major progress in soil models has occurred in the last decades, models of soil processes remain disjointed between disciplines or ecosystem services, with considerable uncertainty remaining in the quality of predictions and several challenges that remain yet to be addressed. First, there is a need to improve exchange of knowledge and experience among the different disciplines in soil science and to reach out to other Earth science communities. Second, the community needs to develop a new generation of soil models based on a systemic approach comprising relevant physical, chemical, and biological processes to address critical knowledge gaps in our understanding of soil processes and their interactions. Overcoming these challenges will facilitate exchanges between soil modeling and climate, plant, and social science modeling communities. It will allow us to contribute to preserve and improve our assessment of ecosystem services and advance our understanding of climate\uffe2\uff80\uff90change feedback mechanisms, among others, thereby facilitating and strengthening communication among scientific disciplines and society. We review the role of modeling soil processes in quantifying key soil processes that shape ecosystem services, with a focus on provisioning and regulating services. We then identify key challenges in modeling soil processes, including the systematic incorporation of heterogeneity and uncertainty, the integration of data and models, and strategies for effective integration of knowledge on physical, chemical, and biological soil processes. We discuss how the soil modeling community could best interface with modern modeling activities in other disciplines, such as climate, ecology, and plant research, and how to weave novel observation and measurement techniques into soil models. We propose the establishment of an international soil modeling consortium to coherently advance soil modeling activities and foster communication with other Earth science disciplines. Such a consortium should promote soil modeling platforms and data repository for model development, calibration and intercomparison essential for addressing contemporary challenges.</p>", "keywords": ["organic-matter dynamics", "550", "Sciences de l\u2019environnement & \u00e9cologie", "QH301 Biology", "Knowledge management", "0208 environmental biotechnology", "ECOSYSTEM SERVICES", "02 engineering and technology", "soil processes", "01 natural sciences", "Physical Geography and Environmental Geoscience", "Sciences de la Terre", "Biological process", "ANZSRC::3707 Hydrology", "DROUGHT SEVERITY INDEX", "SYNTHETIC-APERTURE RADAR", "ANZSRC::4106 Soil sciences", "SDG 13 - Climate Action", "Climate change", "0503 Soil Sciences", "GROUND-PENETRATING RADAR", "Integration of knowledge", "Life sciences", "ANZSRC::050399 Soil Sciences not elsewhere classified", "synthetic-aperture radar", "Physical Sciences", "Water Resources", "Knowledge and experience", "MULTIPLE ECOSYSTEM SERVICES", "knowledge integration", "570", "DIFFUSE-REFLECTANCE SPECTROSCOPY", "Environmental Engineering", "Physique", " chimie", " math\u00e9matiques & sciences de la terre", "Scientific discipline", "0703 Crop and Pasture Production", "0207 environmental engineering", "Soil Science", "soil science", "ORGANIC-MATTER DYNAMICS", "DATA ASSIMILATION", "Physical", " chemical", " mathematical & earth Sciences", "ANZSRC::0503 Soil Sciences", "Science disciplines", "PEDOTRANSFER FUNCTIONS", "Feedback mechanisms", "mod\u00e9lisation", "ground-penetrating radar", "Science & Technology", "ANZSRC::080110 Simulation and Modelling", "15. Life on land", "Sciences de la terre & g\u00e9ographie physique", "multiple ecosystem services", "root water-uptake", "Observation and measurement", "DIGITAL ELEVATION MODEL", "Quality of predictions", "SATURATED-UNSATURATED FLOW", "ARBUSCULAR MYCORRHIZAL FUNGI", "sciences du sol", "HYDRAULIC-PROPERTIES", "2. Zero hunger", "Agriculture", "diffuse-reflectance spectroscopy", "4106 Soil sciences", "ORGANIC-MATTER", "digital elevation model", "SDG 13 \u2013 Ma\u00dfnahmen zum Klimaschutz", "Sciences du vivant", "Uncertainty analysis", "0406 Physical Geography and Environmental Geoscience", "Life Sciences & Biomedicine", "Crop and Pasture Production", "101028 Mathematical modelling", "international soil modeling consortium", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "Environmental Sciences & Ecology", "arbuscular mycorrhizal fungi", "Ecosystems", "Climate models", "QH301", "Environmental sciences & ecology", "Life Science", "SEDIMENT TRANSPORT MODELS", "data integration", "sediment transport models", "approche ecosyst\u00e9mique", "0105 earth and related environmental sciences", "info:eu-repo/classification/ddc/550", "3707 Hydrology", "soil modeling", "ROOT WATER-UPTAKE", "SOLUTE TRANSPORT", "13. Climate action", "Earth and Environmental Sciences", "Soil Sciences", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "Earth Sciences", "Earth sciences & physical geography", "Soils", "101028 Mathematische Modellierung", "saturated-unsaturated flow", "Environmental Sciences", "root water-uptake", " sediment transport models", " diffuse-reflectance spectroscopy", " arbuscular mycorrhizal fungi", " multiple ecosystem services", " saturated-unsaturated flow", " ground-penetrating radar", " synthetic-aperture radar", " digital elevation model", " organic-matter dynamics."]}, "links": [{"href": "https://orbi.uliege.be/bitstream/2268/263634/1/Vereecken%20VZJ%202016.pdf"}, {"href": "http://onlinelibrary.wiley.com/wol1/doi/10.2136/vzj2015.09.0131/fullpdf"}, {"href": "https://escholarship.org/content/qt6976n34c/qt6976n34c.pdf"}, {"href": "https://doi.org/2164/6134"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Vadose%20Zone%20Journal", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2164/6134", "name": "item", "description": "2164/6134", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2164/6134"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-05-01T00:00:00Z"}}, {"id": "301c0949-d502-4a49-ba3d-cc7405240164", "type": "Feature", "geometry": null, "properties": {"license": "http://dcat-ap.de/def/licenses/cc-by/4.0", "updated": "2025-09-11T11:47:11", "type": "Dataset", "language": "en", "title": "SoilSuite \u2013 Sentinel-2 \u2013 Europe, 5 year composite (2018-2022)", "description": "The SoilSuite contains a collection of different image data products that provide information about the spectral and statistical properties of European soils and other bare surfaces such as rocks. It is created using DLR's Soil Composite Mapping Processor (ScMAP), which utilises the Sentinel-2 data archive. SCMaP is a specialised processing chain for detecting and analysing bare soils/surfaces on a large (continental) scale. Bare surface and soil pixels are selected using a combined NDVI and NBR index (PVIR2) that optimises the exclusion of photosynthetically active and non-active vegetation. The index is calculated and applied for each individual pixel. All SoilSuite products are calculated based on the available Sentinel-2 scenes recorded between January 2018 and December 2022 in Europe. The data package excludes all scenes with a cloud cover of > 80 % and a sun elevation of < 20\u00b0. The spectral composite products are calculated from the mean value after extensive removal of clouds, haze and snow effects at both scene and pixel level. The spectral data products are available at a pixel size of 20 m and contain 10 Sentinel-2 bands (B02, B03, B04, B05, B06, B07, B08, B08a, B11, B12). The SoilSuite comprises: (a) \u201cBare Surface Reflectance Composite \u2013 Mean\u201d that provides the spectral properties of soils that vary due to different soil organic carbon (SOC) content, soil moisture and soil minerology. This product is often used for spectral and digital soil mapping approaches, (b) \u201cBare Surface Reflectance Composite - Standard deviation\u201d informing about the spectral dynamic of bare surfaces and soils, (c) \u201cBare Surface Reflectance Composite \u2013 95% Confidence\u201d contains information about the reliability of the spectral information due to the number of valid observations per pixel, (d) \u201cBare Surface Statistics Product\u201d provides the number of bare soil occurrences over the total number of valid observations (Band 1), the number of bare soil occurrences (Band 2) and the total number of valid observations (Band 3), (e) \u201cMask\u201d is a product that aggregates simple landcover classes that occur during the time period between 2018 - 2022 (Sentinel-2). The three-class Mask contains bare surface occurrences (1), permanent vegetation (2) and other surfaces such as water bodies, urban areas, roads (3). Additionally, the SoilSuite provides (f) \u201cReflectance Composite \u2013 Mean\u201d that represents the mean reflectance of all valid Sentinel-2 observations between 2018 \u2013 2022 including vegetation, bare and other surfaces, and (g) \u201cReflectance Composite \u2013 Standard deviation\u201d, which contains the standard deviation per band for all valid Sentinel-2 observations between 2018 \u2013 2022.", "formats": [{"name": "Download"}], "keywords": ["bare-soil-coverage", "bare-soil-frequency", "de", "dlr", "eoc", "europe", "land", "opendata", "reflectance-composite", "scmap", "sentinel-2", "soil", "soil-composite-mapping-processor", "soil-coverage", "surface-reflectance-composite", "temporal-composites"], "contacts": [{"organization": "German Aerospace Center (DLR)", "roles": ["creator"]}]}, "links": [{"href": "https://download.geoservice.dlr.de/SOILSUITE/files/EUROPE_5Y/"}, {"href": "https://geoservice.dlr.de/eoc/land/wms?"}, {"href": "https://geoservice.dlr.de/eoc/ogc/stac/v1/collections/S2-soilsuite-europe-2018-2022-P5Y"}, {"href": "http://data.europa.eu/88u/dataset/301c0949-d502-4a49-ba3d-cc7405240164"}, {"rel": "self", "type": "application/geo+json", "title": "301c0949-d502-4a49-ba3d-cc7405240164", "name": "item", "description": "301c0949-d502-4a49-ba3d-cc7405240164", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/301c0949-d502-4a49-ba3d-cc7405240164"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "3207901193", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:23:09Z", "type": "Journal Article", "created": "2021-10-21", "title": "Sentinel-2 Recognition of Uncovered and Plastic Covered Agricultural Soil", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Medium resolution satellite data, such as Sentinel-2 of the Copernicus programme, offer great new opportunities for the agricultural sector, and provide insights on soil surface characteristics and their management. Soil monitoring requires a high-quality dataset of uncovered and plastic covered agricultural soil. We developed a methodology to identify uncovered soil pixels in agricultural parcels during seedbed preparation and considered the impacts of clouds and shadows, vegetation cover, and artificial covers, such as those of greenhouses and plastic mulch films. We preserved the spatial and temporal integrity of parcels in the process and analysed spectral anomalies and their sources. The approach is based on freely available tools, namely Google Earth Engine and R Programming packages. We tested the methodology on the northern region of Belgium, which is characterised by small, fragmented parcels. We selected a period between mid-April to end-May, when active agricultural management practices leave the soil bare in preparation for the main cropping season. The spectral angle mapper was used to identify soil covered by non-plastic greenhouses or temporary soil covers, such as plastic mulch films. The effect of underlying soil on temporary covers was considered. The retrogressive plastic greenhouse index was used for detecting plastic greenhouses. The result was a high quality dataset of potential bare uncovered agricultural soil that allows further soil surface characterisation. This offered an improved understanding of the use of artificial covers, their spatial distribution, and their corresponding crops during the considered period. Artificial covers occurred most frequently in maize parcels. The approach resulted in precision values exceeding 0.9 for the detection of temporary covers and non-plastic greenhouses and a sensitivity value exceeding 0.95 for non-plastic and plastic greenhouses.</p></article>", "keywords": ["Technology", "SURFACE", "Science", "Environmental Sciences & Ecology", "TEXTURE", "artificial cover", "ALMERIA", "0203 Classical Physics", "soil", "Remote Sensing", "SUPPORT", "0909 Geomatic Engineering", "Geosciences", " Multidisciplinary", "Imaging Science & Photographic Technology", "agriculture", "2. Zero hunger", "plastic mulch", "Science & Technology", "IDENTIFICATION", "soil; agriculture; Sentinel-2; artificial cover; plastic mulch", "Q", "Geology", "04 agricultural and veterinary sciences", "15. Life on land", "CLOUD", "REFLECTANCE", "RESOLUTION", "13. Climate action", "Physical Sciences", "0401 agriculture", " forestry", " and fisheries", "4013 Geomatic engineering", "Sentinel-2", "GREENHOUSE", "0406 Physical Geography and Environmental Geoscience", "Life Sciences & Biomedicine", "3701 Atmospheric sciences", "Environmental Sciences", "3709 Physical geography and environmental geoscience"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/13/21/4195/pdf"}, {"href": "https://www.mdpi.com/2072-4292/13/21/4195/pdf"}, {"href": "https://doi.org/3207901193"}, {"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": "3207901193", "name": "item", "description": "3207901193", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3207901193"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-10-20T00:00:00Z"}}, {"id": "40f2db67-d180-431f-b275-2b975c552d36", "type": "Feature", "geometry": null, "properties": {"license": "http://dcat-ap.de/def/licenses/cc-by/4.0", "updated": "2025-09-11T11:47:49", "type": "Dataset", "language": "en", "title": "SoilSuite \u2013 Sentinel-2 \u2013 Africa, 4 year composite (2018-2021)", "description": "The SoilSuite contains a collection of different image data products that provide information about the spectral and statistical properties of soils and other bare surfaces of three East-African countries (Rwanda, Kenya and Ethiopia). It is created using DLR's Soil Composite Mapping Processor (ScMAP), which utilises the Sentinel-2 data archive. SCMaP is a specialised processing chain for detecting and analysing bare soils/surfaces on a large (continental) scale. Bare surface and soil pixels are selected using a combined NDVI and NBR index (PVIR2) that optimises the exclusion of photosynthetically active and non-active vegetation. The index is calculated and applied for each individual pixel. All SoilSuite products are calculated based on the available Sentinel-2 scenes recorded between January 2018 and December 2021 in the target region. The data package excludes all scenes with a cloud cover of larger than 80 percent and a sun elevation of less than 20 degrees. The spectral composite products are calculated from the mean value after extensive removal of clouds, haze and snow effects at both scene and pixel level. The spectral data products are available at a pixel size of 20 m and contain 10 Sentinel-2 bands (B02, B03, B04, B05, B06, B07, B08, B08a, B11, B12). The SoilSuite comprises: (a) \u201cBare Surface Reflectance Composite \u2013 Mean\u201d that provides the spectral properties of soils that vary due to different soil organic carbon (SOC) content, soil moisture and soil minerology. This product is often used for spectral and digital soil mapping approaches, (b) \u201cBare Surface Reflectance Composite - Standard deviation\u201d informing about the spectral dynamic of bare surfaces and soils, (c) \u201cBare Surface Reflectance Composite \u2013 95% Confidence\u201d contains information about the reliability of the spectral information due to the number of valid observations per pixel, (d) \u201cBare Surface Statistics Product\u201d provides the number of bare soil occurrences over the total number of valid observations (Band 1), the number of bare soil occurrences (Band 2) and the total number of valid observations (Band 3), (e) \u201cMask\u201d is a product that aggregates simple landcover classes that occur during the time period between 2018 - 2021 (Sentinel-2). The three-class Mask contains bare surface occurrences (1), permanent vegetation (2) and other surfaces such as water bodies, urban areas, roads (3). Additionally, the SoilSuite provides (f) \u201cReflectance Composite \u2013 Mean\u201d that represents the mean reflectance of all valid Sentinel-2 observations between 2018 \u2013 2021 including vegetation, bare and other surfaces, and (g) \u201cReflectance Composite \u2013 Standard deviation\u201d, which contains the standard deviation per band for all valid Sentinel-2 observations between 2018 \u2013 2021. The SoilSuite Africa was produced as part of the Earth Observation-based derivation of soil information funded by the project 'Land, Soil and Crop Information Services (LSC-IS) to support Climate-Smart Agriculture (DeSIRA)'. LSC-IS is funded by the European Union through its DeSIRA program and the Netherlands' Ministry of Foreign Affairs, with a contribution from ISRIC - World Soil Information.", "keywords": ["bare-soil-coverage", "bare-soil-frequency", "de", "dlr", "east-africa", "eoc", "land", "opendata", "reflectance-composite", "scmap", "sentinel-2", "soil", "soil-composite-mapping-processor", "soil-coverage", "surface-reflectance-composite", "temporal-composites"], "contacts": [{"organization": "German Aerospace Center (DLR)", "roles": ["creator"]}]}, "links": [{"href": "https://download.geoservice.dlr.de/SOILSUITE/files/AFRICA_4Y/"}, {"href": "https://geoservice.dlr.de/eoc/land/wms?"}, {"href": "https://geoservice.dlr.de/eoc/ogc/stac/v1/collections/S2-soilsuite-africa-2018-2021-P4Y"}, {"href": "http://data.europa.eu/88u/dataset/40f2db67-d180-431f-b275-2b975c552d36~~1"}, {"rel": "self", "type": "application/geo+json", "title": "40f2db67-d180-431f-b275-2b975c552d36", "name": "item", "description": "40f2db67-d180-431f-b275-2b975c552d36", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/40f2db67-d180-431f-b275-2b975c552d36"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "301c0949-d502-4a49-ba3d-cc7405240164~~1", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:27:25Z", "type": "Dataset", "language": "en", "title": "SoilSuite \u2013 Sentinel-2 \u2013 Europe, 5 year composite (2018-2022)", "description": "The SoilSuite contains a collection of different image data products that provide information about the spectral and statistical properties of European soils and other bare surfaces such as rocks. It is created using DLR's Soil Composite Mapping Processor (ScMAP), which utilises the Sentinel-2 data archive. SCMaP is a specialised processing chain for detecting and analysing bare soils/surfaces on a large (continental) scale. Bare surface and soil pixels are selected using a combined NDVI and NBR index (PVIR2) that optimises the exclusion of photosynthetically active and non-active vegetation. The index is calculated and applied for each individual pixel. All SoilSuite products are calculated based on the available Sentinel-2 scenes recorded between January 2018 and December 2022 in Europe. The data package excludes all scenes with a cloud cover of > 80 % and a sun elevation of < 20\u00b0. The spectral composite products are calculated from the mean value after extensive removal of clouds, haze and snow effects at both scene and pixel level. The spectral data products are available at a pixel size of 20 m and contain 10 Sentinel-2 bands (B02, B03, B04, B05, B06, B07, B08, B08a, B11, B12). The SoilSuite comprises: (a) \u201cBare Surface Reflectance Composite \u2013 Mean\u201d that provides the spectral properties of soils that vary due to different soil organic carbon (SOC) content, soil moisture and soil minerology. This product is often used for spectral and digital soil mapping approaches, (b) \u201cBare Surface Reflectance Composite - Standard deviation\u201d informing about the spectral dynamic of bare surfaces and soils, (c) \u201cBare Surface Reflectance Composite \u2013 95% Confidence\u201d contains information about the reliability of the spectral information due to the number of valid observations per pixel, (d) \u201cBare Surface Statistics Product\u201d provides the number of bare soil occurrences over the total number of valid observations (Band 1), the number of bare soil occurrences (Band 2) and the total number of valid observations (Band 3), (e) \u201cMask\u201d is a product that aggregates simple landcover classes that occur during the time period between 2018 - 2022 (Sentinel-2). The three-class Mask contains bare surface occurrences (1), permanent vegetation (2) and other surfaces such as water bodies, urban areas, roads (3). 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