Sentinel-1/Sentinel-2 derived soil Moisture product at Plot scale (S2MP)

DOI

The soil moisture maps were carried out at a plot scale. A map is provided each 6 days (12 days with Sentinel-1A and 12 days with Sentinel-1B). Inversion algorithm for estimating soil moisture was applied for agricultural areas with any vegetation cover. Land cover map is used to extract the agricultural areas. Sentinel-2 images corrected for atmospheric effects are used to calculate the NDVI (Normalized Differential Vegetation Index). Using several in situ measurements of soil moisture, the accuracy on soil moisture estimation was evaluated to be about 5 vol.%. In the provided soil moisture maps (WGS84, EPSG: 4326), the soil moisture values (mv) are multiplied by 5. In order to derive the estimated soil moisture value from the provided maps it is necessary to divide by 5 : volumetric soil moisture (in vol.%) = value obtatiend from the map / 5. Null values in the soil moisture maps = no data (no soil moisture estimation)

Identifier
DOI https://doi.org/10.57745/OBEXYH
Related Identifier https://doi.org/10.3390/rs9121292
Metadata Access https://entrepot.recherche.data.gouv.fr/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.57745/OBEXYH
Provenance
Creator Baghdadi, Nicolas ORCID logo; El Hajj, Mohamad
Publisher Recherche Data Gouv
Contributor Lozac'h, Loïc
Publication Year 2022
Rights etalab 2.0; info:eu-repo/semantics/openAccess; https://spdx.org/licenses/etalab-2.0.html
OpenAccess true
Contact Lozac'h, Loïc (INRAE)
Representation
Resource Type Collection; Dataset
Version 1.0
Discipline Agriculture, Forestry, Horticulture; Geosciences