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Catalog datasets represent a fraction of data in use by active WMA projects. The team is working on including more datasets to provide a complete view of data-in-use. Let us know how your experience is!

Datasets


AMSR-E/Aqua (LPRM)

Domain: Soils

Spatial Resolution: 25 kilometer

Temporal Frequency: daily

Temporal Coverage: 2002 - 2011

Spatial Extent: Global

Source: NASA

Access:

Description:

AMSR-E/Aqua surface soil moisture (LPRM) L3 1 day 25 km x 25 km ascending V002 is a Level 3 (gridded) 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-Earth Observing System (AMSR-E), using the Land Parameter Retrieval Model (LPRM). There are two files per day, one ascending (daytime) and one descending (nighttime), archived as two different products. This document is for the daytime product. The data set covers the period from June 2002 to October 2011 (when the AMSR-E on the NASA EOS Aqua satellite stopped producing data due to a problem with the rotation of its antenna). 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 AMSR-E’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 AMSR-E resampled brightness temperatures (AE_L2A) product, daytime passes, as processed using LPRM (i.e., LPRM/AMSR-E/Aqua L2B product, LPRM_AMSRE_SOILM2_V002).

Citation:

Vrije Universiteit Amsterdam (de Jeu, R.) and NASA GSFC (Owe, M.), 2011, AMSR-E/Aqua surface soil moisture (LPRM) L3 1 day 25 km x 25 km ascending V002: Edited by Goddard Earth Sciences Data and Information Services Center (GES DISC) (Teng, B.), Goddard Earth Sciences Data and Information Services Center (GES DISC), accessed [YYYY-MM-DD], https://doi.org/10.5067/X3K5V3NNLYAV
Owe, M., de Jeu, R., and Holmes, T., 2008, Multisensor historical climatology of satellite-derived global land surface moisture: Journal of Geophysical Research, F01002, https://doi.org/10.1029/2007JF000769