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Dataset. 2022
SMOS L3 Surface Soil Moisture binned maps at 25 km EASE-2 (V.4.0) [Dataset]
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/278437
Digital.CSIC. Repositorio Institucional del CSIC
- Pablos, Miriam
- González-Haro, Cristina
- Portal, Gerard
- Piles, María
- Vall-llossera, Mercè
- Portabella, Marcos
Data acquisition: Satellite: ESA SMOS mission (Soil Moisture and Ocean Salinity).
Filenames: BEC_SM____SMOS__GLO_L3__X_YYYYMMDDTHHMMSS_025km_TT_____v4.0.nc, being:
- X the half-orbit type (A for ascending and D for descending),
- YYYYMMDDTHHMMSS the central date (year, month, day, hour, minute and second) in Coordinated Universal Time (UTC) of the period covered by the file,
- TT: indicates the temporal coverage of the data file (1d, 3d, 9d, 1m and 1y for daily, 3 days, 9 days, 1 month and 1 year, respectively).
Sensor: Satellite SMOS / MIRAS.
Spatial resolution: 25 km x 25 km.
Spatial grid: WGS_84 / EASE2_M25km, Improvement of the current SMOS soil moisture products produced by the Barcelona Expert Centre (BEC) and development of new added-value products and/or applications over land, INTERACT. Enfoques sinergéticos para una nueva generación de productos y aplicaciones de observación de la Tierra (PID2020-114623RB-C31). Ministerio de Ciencia e Innovación a través de PN2020 - PROY I+D+I – Programa Estatal de I+D+I Orientada a los Retos de la Sociedad – Plan Estatal de Investigación Científica Técnica y de Innovación 2017-2020, · Surface soil moisture (SM) · Data quality index of surface soil moisture (SM_DQX) · Variance of surface soil moisture (SM_VARIANCE) · Number of L2 soil moisture measures (N_SM) · Vegetation optical depth at nadir (VOD) · Data quality index of vegetation optical depth at nadir (VOD_DQX) · Variance of vegetation optical depth at nadir (VOD_VARIANCE) · Number of L2 vegetation optical depth measures (N_VOD) · Time (time) · Latitude (lat) · Longitude (lon) · Coordinate reference system (crs), Peer reviewed
DOI: http://hdl.handle.net/10261/278437, https://doi.org/10.20350/digitalCSIC/14722
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/278437
HANDLE: http://hdl.handle.net/10261/278437, https://doi.org/10.20350/digitalCSIC/14722
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/278437
Ver en: http://hdl.handle.net/10261/278437, https://doi.org/10.20350/digitalCSIC/14722
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/278437
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Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/278437
Dataset. 2022
SMOS L3 SURFACE SOIL MOISTURE BINNED MAPS AT 25 KM EASE-2 (V.4.0) [DATASET]
Digital.CSIC. Repositorio Institucional del CSIC
- Pablos, Miriam
- González-Haro, Cristina
- Portal, Gerard
- Piles, María
- Vall-llossera, Mercè
- Portabella, Marcos
Data acquisition: Satellite: ESA SMOS mission (Soil Moisture and Ocean Salinity).
Filenames: BEC_SM____SMOS__GLO_L3__X_YYYYMMDDTHHMMSS_025km_TT_____v4.0.nc, being:
- X the half-orbit type (A for ascending and D for descending),
- YYYYMMDDTHHMMSS the central date (year, month, day, hour, minute and second) in Coordinated Universal Time (UTC) of the period covered by the file,
- TT: indicates the temporal coverage of the data file (1d, 3d, 9d, 1m and 1y for daily, 3 days, 9 days, 1 month and 1 year, respectively).
Sensor: Satellite SMOS / MIRAS.
Spatial resolution: 25 km x 25 km.
Spatial grid: WGS_84 / EASE2_M25km, Improvement of the current SMOS soil moisture products produced by the Barcelona Expert Centre (BEC) and development of new added-value products and/or applications over land, INTERACT. Enfoques sinergéticos para una nueva generación de productos y aplicaciones de observación de la Tierra (PID2020-114623RB-C31). Ministerio de Ciencia e Innovación a través de PN2020 - PROY I+D+I – Programa Estatal de I+D+I Orientada a los Retos de la Sociedad – Plan Estatal de Investigación Científica Técnica y de Innovación 2017-2020, · Surface soil moisture (SM) · Data quality index of surface soil moisture (SM_DQX) · Variance of surface soil moisture (SM_VARIANCE) · Number of L2 soil moisture measures (N_SM) · Vegetation optical depth at nadir (VOD) · Data quality index of vegetation optical depth at nadir (VOD_DQX) · Variance of vegetation optical depth at nadir (VOD_VARIANCE) · Number of L2 vegetation optical depth measures (N_VOD) · Time (time) · Latitude (lat) · Longitude (lon) · Coordinate reference system (crs), Peer reviewed
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