ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): COMBINED product, Version 06.1 2019-02
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keyword: DIF10
keyword: ESA
keyword: Soil Moisture
keyword: CCI
keyword: Combined
keyword: orthoimagery
keyword: EARTH SCIENCE>SPECTRAL/ENGINEERING>MICROWAVE
keyword: EARTH SCIENCE>SPECTRAL/ENGINEERING>RADAR
keyword: EARTH SCIENCE>AGRICULTURE>SOILS>SOIL MOISTURE/WATER CONTENT
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keyword: ERS-1
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keyword: GCOM-W1
keyword: METOP-A
keyword: METOP-B
keyword: Nimbus-7
keyword: SMOS
keyword: TRMM
keyword: ERS WIND SCATTEROMETER
keyword: MIRAS
keyword: AMSR2
keyword: AMSR-E
keyword: ASCAT
keyword: SMMR
keyword: SSM/I
keyword: TMI
keyword: WINDSAT
keyword: FY-3B
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keyword: AMI-SCAT
keyword: SMAP
keyword: AMSRE
keyword: WindSat
keyword: GMI
keyword: VIRR
keyword: AQUA
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description: The Soil Moisture CCI COMBINED 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 directly merging Level 2 scatterometer and radiometer soil moisture products derived from the AMI-WS, ASCAT, SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2, SMOS, SMAP, FY-3B and GPM satellite instruments. PASSIVE and ACTIVE products have also been created.The v06.1 COMBINED 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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end date: 2019-02-28T23:59:59.999Z