AMSR2/GCOM-W1 downscaled surface soil moisture (LPRM) L2B V001 (LPRM_AMSR2_DS_SOILM2) at GES DISCEntry ID: LPRM_AMSR2_DS_SOILM2_001
Abstract: AMSR2/GCOM-W1 downscaled surface soil moisture (LPRM) L2B V001 is a Level 2 (swath) data set. Its land surface parameters, surface soil moisture, land surface (skin) temperature, and vegetation water content, are derived from passive microwave remote sensing data from the Advanced Microwave Scanning Radiometer 2 (AMSR2), using the Land Parameter Retrieval Model (LPRM). Each swath is packaged with ... associated geolocation fields. The data set covers the period from May 2012, when the Japan Aerospace Exploration Agency (JAXA) Global Change Observation Mission-1st Water GCOM-W1 satellite was launched, to the present. The spatial resolution of the data is based on a resampling of the nominally 46 and 31 km resolutions, respectively, of AMSR2's C and X bands (6.9/7.3 and 10.7 GHz, respectively) to 25 km by 25 km and then a downscaling, using the smoothing filter-based intensity modulation (SFIM) technique, to 10 km by 10 km grids.
The LPRM is based on a forward radiative transfer model to retrieve surface soil moisture and vegetation optical depth. The land surface temperature is derived separately from the AMSR2's Ka-band (36.5 GHz). A unique feature of this method is that it can be applied at any microwave frequency, making it very suitable to exploit all the available passive microwave data from various satellites.
Input data are from the AMSR2 spatial-resolution-matched brightness temperatures (L1SGRTBR) product, archived at JAXA.
Data Set Citation
Dataset Originator/Creator: Vrije Universiteit Amsterdam (Richard de Jeu) and NASA GSFC (Manfred Owe)
Dataset Title: AMSR2/GCOM-W1 downscaled surface soil moisture (LPRM) L2B V001
Dataset Series Name: LPRM_AMSR2_DS_SOILM2
Dataset Release Date: 2014-09-15T00:00:00.000Z
Dataset Release Place: Greenbelt, MD, USA
Dataset Publisher: Goddard Earth Sciences Data and Information Services Center (GES DISC)
Dataset Editor: Goddard Earth Sciences Data and Information Services Center (GES DISC) (Bill Teng)
Dataset DOI: doi:10.5067/KZ9OOIENUO0COnline Resource: https://disc.gsfc.nasa.gov/datacollection/LPRM_AMSR2_DS_SOILM2_001....
Start Date: 2012-07-02
Quality The LPRM/AMSR2 data are sensitive to both internal model limitations and external processes and are screened for radio frequency interference, the presence of snow/frozen soils, water, and dense vegetation covers. All screened-out data pixels are flagged and indicated by a non-data value. A soil moisture uncertainty parameter at both C and X bands is included (Parinussa et al., 2011).
Access Constraints None
Use Constraints None
Data Set Progress
Distribution Media: Online Archive
Distribution Size: 8.0 MB
Distribution Format: netCDF
Email: Richard.de.jeu at falw.vu.nl
Faculty of Earth and Life Sciences Department of Hydrology and Geo-environmental Sciences Vrije Universiteit Amsterdam
City: 1081 HV Amsterdam
Role: METADATA AUTHOR
Email: william.l.teng at nasa.gov
Code 610.2 Goddard Earth Sciences Data and Information Services Center, Code 610.2, NASA Goddard Space Flight Center
Province or State: MD
Postal Code: 20771
Owe, M., R. de Jeu, and T. Holmes (2008-01-01T00:00:00.000Z), Multisensor historical climatology of satellite-derived global land surface moisture, Journal of Geophysical Research, 113, F01002, 17 pp., doi:10.1029/2007JF000769, Data Author Publication
De Jeu, R.A.M., W. Wagner, T.R.H. Holmes, A.J. Dolman, N.C. van de Giesen, and J. Friesen (2008-01-01T00:00:00.000Z), Global soil moisture patterns observed by space borne microwave radiometers and scatterometers, Surveys in Geophysics, 29, 399-420, doi:10.1007/s10712-008-9044-0
Holmes, T.R.H., R.A.M. De Jeu, M. Owe, and A.J. Dolman (2009-01-01T00:00:00.000Z), Land surface temperature from Ka band (37 GHz) passive microwave observations, Journal of Geophysical Research, 114, D04113, 15 pp., doi:10.1029/2008JD010257
Parinussa, R.M., A.G.C.A. Meesters, Y.Y. Liu, W. Dorigo, W. Wagner, and R.A.M. de Jeu (2011-01-01T00:00:00.000Z), Error estimates for near-real-time satellite soil moisture as derived from the Land Parameter Retrieval Model, IEEE Geoscience and Remote Sensing Letters, 8, 4, 779 - 783, doi:10.1109/LGRS.2011.2114872
Parinussa, R.M., T.R.H. Holmes, N. Wanders, W.A. Dorigo, and R.A.M. de Jeu (2015-01-01T00:00:00.000Z), A preliminary study toward consistent soil moisture from AMSR2, Journal of Hydrometeorology, 16, 932-947, doi:10.1175/JHM-D-13-0200.1
Extended Metadata Properties
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Creation and Review Dates
DIF Creation Date: 2014-08-15
Last DIF Revision Date: 2018-10-10