{"type": "FeatureCollection", "features": [{"id": "10.1016/j.rse.2020.112050", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:16:51Z", "type": "Journal Article", "created": "2020-08-24", "title": "Monitoring of wheat crops using the backscattering coefficient and the interferometric coherence derived from Sentinel-1 in semi-arid areas. Remote Sensing of Environment, 251, 112050.", "description": "Abstract   Radar data at C-band has shown great potential for the monitoring of soil and canopy hydric conditions of wheat crops. In this study, the C-band Sentinel-1 time series including the backscattering coefficients \u03c30 at VV and VH polarization, the polarization ratio (PR) and the interferometric coherence \u03c1 are first analyzed with the support of experimental data gathered on three plots of irrigated winter wheat located in the Haouz plain in the center of Morocco covering five growing seasons. The results showed that \u03c1 and PR are tightly related to the canopy development. \u03c1 is also sensitive to soil preparation. By contrast, \u03c30 was found to be widely linked to changes in surface soil moisture (SSM) during the first growth stages when Leaf Area Index remains moderate (", "keywords": ["[SDE] Environmental Sciences", "2. Zero hunger", "Interferometric coherence", "0211 other engineering and technologies", "04 agricultural and veterinary sciences", "02 engineering and technology", "15. Life on land", "Surface soil moisture", "630", "Backscattering coefficient", "Winter wheat", "[SDE]Environmental Sciences", "Sentinel-1", "0401 agriculture", " forestry", " and fisheries", "Semi-arid region", "C-band"]}, "links": [{"href": "https://doi.org/10.1016/j.rse.2020.112050"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing%20of%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.rse.2020.112050", "name": "item", "description": "10.1016/j.rse.2020.112050", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.rse.2020.112050"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-12-01T00:00:00Z"}}, {"id": "10.1109/igarss46834.2022.9883957", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:18:36Z", "type": "Journal Article", "created": "2022-09-28", "title": "Potential of C-Band Sentinel-1 Data for Estimating Soil Moisture and Surface Roughness in a Watershed in Western France", "description": "Radar remote sensing has shown a high potential for soil surface parameters estimation in different pedo-climatic context. In the present study, we investigated Sentinel-l radar signal in order to analyze its behavior as function of soil moisture and soil roughness. In addition, we evaluated the approach combining the modified Integral Equation Model (IEM-B) and the Water Cloud Model (WCM) for estimating soil moisture in western France. Soil surface parameters were acquired over 4 campaigns during which composite soil samples were collected simultaneously to Sentinel-l acquisition dates. The dates of those campaigns were defined according to the evolution of the soil surface condition, during the agricultural season. The sensitivity of radar signal \u03c30 to soil moisture was studied over the 22 reference fields and over the Thiessen polygons created around the measurement points. Linear relationships are observed between the radar signal and volumetric soil moisture less than 35 vol. % with higher sensitivity for VH polarization (0.41 dB/vol.% in VH against 0.26 dB/vol.% in VV). The best correlation coefficients (R) were observed for the VH polarization with the Zs roughness parameter (R= 0.53 and 0.29 for reference fields and Thiessen polygons, respectively). Following that, a comparison of in situ soil moisture with that predicted based on approach proposed by [1], using Neural network algorithm with a training using the two models IEM-B and Water Cloud Model (WCM) allowed an accuracy with an RMSE ranging between 6.1 and 6.5 vol. % for reference fields and Thiessen polygons respectively. These results confirm that the proposed algorithm is accurate to estimate soil moisture.", "keywords": ["Naizin watershed", "[SDE] Environmental Sciences", "Soil", "Sentinel 1", "0401 agriculture", " forestry", " and fisheries", "France", "04 agricultural and veterinary sciences", "C-band", "Roughness", "Moisture"]}, "links": [{"href": "http://xplorestaging.ieee.org/ielx7/9883023/9883024/09883957.pdf?arnumber=9883957"}, {"href": "https://doi.org/10.1109/igarss46834.2022.9883957"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/IGARSS%202022%20-%202022%20IEEE%20International%20Geoscience%20and%20Remote%20Sensing%20Symposium", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1109/igarss46834.2022.9883957", "name": "item", "description": "10.1109/igarss46834.2022.9883957", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1109/igarss46834.2022.9883957"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-07-17T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=C-band&f=json", "hreflang": "en-US"}, {"rel": "alternate", "type": "text/html", "title": "This document as HTML", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=C-band&f=html", "hreflang": "en-US"}, {"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main", "hreflang": "en-US"}, {"type": "application/geo+json", "rel": "first", "title": "items (first)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=C-band&", "hreflang": "en-US"}, {"rel": "last", "type": "application/geo+json", "title": "items (last)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=C-band&offset=2", "hreflang": "en-US"}], "numberMatched": 2, "numberReturned": 2, "distributedFeatures": [], "timeStamp": "2026-07-26T01:49:09.284257Z"}