ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): PASSIVE product, Version 06.1 1982-12
type: Dataset
keyword: DIF10
keyword: ESA
keyword: CCI
keyword: Passive
keyword: Soil Moisture
keyword: orthoimagery
keyword: EARTH SCIENCE>SPECTRAL/ENGINEERING>MICROWAVE
keyword: EARTH SCIENCE>AGRICULTURE>SOILS>SOIL MOISTURE/WATER CONTENT
keyword: Aqua
keyword: CORIOLIS
keyword: DMSP 5D-2/F8
keyword: DMSP 5D-2/F11
keyword: DMSP 5D-2/F13
keyword: GCOM-W1
keyword: Nimbus-7
keyword: SMOS
keyword: TRMM
keyword: MIRAS
keyword: AMSR2
keyword: AMSR-E
keyword: SMMR
keyword: SSM/I
keyword: TMI
keyword: WINDSAT
keyword: FY-3B
keyword: Coriolis
keyword: DMSP-F08
keyword: DMSP-F11
keyword: DMSP-F13
keyword: SMAP
keyword: AMSRE
keyword: WindSat
keyword: GMI
keyword: VIRR
keyword: AQUA
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  title: Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001 - No further details.
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description: The Soil Moisture CCI PASSIVE dataset is one of three datasets created as part of the European Space Agency's (ESA) Soil Moisture Essential Climate Variable (ECV) Climate Change Initiative (CCI) project. The product has been created by merging data from the SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2, SMOS, SMAP, FY-3B and GPM satellite instruments. ACTIVE and COMBINED products have also been created.The v06.1 PASSIVE product, provided as global daily images in NetCDF-4 classic file format, presents a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. It is provided in volumetric units [m3 m-3] and covers the period (yyyy-mm-dd) 1978-11-01 to 2020-12-31. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document. Additional reference documents and information relating to the dataset can also be found on the CCI Soil Moisture project website.The data set should be cited using the following references:1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717â739, https://doi.org/10.5194/essd-11-717-20192. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001
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start date: 1982-12-01T00:00:00.000Z
end date: 1982-12-31T23:59:59.999Z