Title
Soil moisture retrieval using the C-band polarimetric scanning radiometer during the Southern Great Plains 1999 Experiment
Abstract
The Advanced Microwave Scanning Radiometer (AMSR) holds promise for retrieving soil moisture in regions with low levels of vegetation. Algorithms for this purpose have been proposed, but none have been rigorously evaluated due to a lack of datasets. Accordingly, the Southern Great Plains 1999 Experiment (SGP99) was designed to provide C-band datasets for AMSR algorithm development and validation. Ground observations of soil moisture and related variables were collected in conjunction with aircraft measurements using a C-band radiometer similar to the AMSR sensor (6.92 GHz), the Polarimetric Scanning Radiometer with its C-band scanhead (PSR/C). The study region has been the focus of several previous remote sensing field experiments and contains vegetation conditions compatible with the expected capabilities of C-band for soil moisture retrieval. Flights were conducted under a Aide range of soil moisture conditions, thus providing a robust dataset for validation. A significant issue found in data processing was the removal of anthropogenic radio-frequency interference. Several approaches to estimating the parameters of a single-channel soil moisture retrieval algorithm were used. PSR/C soil moisture images show spatial and temporal patterns consistent with meteorological and soil conditions, and the dynamic range of the PSR/C observations indicates that the AMSR instrument can provide useful soil moisture information.
Year
DOI
Venue
2002
10.1109/TGRS.2002.802480
IEEE T. Geoscience and Remote Sensing
Keywords
Field
DocType
moisture measurement,radiometry,soil,terrain mapping,6.92 GHz,AMSR,Advanced Microwave Scanning Radiometer,C-band polarimetric scanning radiometer,PSR/C,Polarimetric Scanning Radiometer,Southern Great Plains 1999 Experiment,aircraft measurements,algorithm development,anthropogenic radio-frequency interference,data processing,meteorological conditions,single-channel soil moisture retrieval algorithm,soil conditions,validation,vegetation conditions
Meteorology,Data processing,C band,Vegetation,Polarimetry,Remote sensing,Radiometry,Water content,Mathematics,Radiometer,Instrumentation
Journal
Volume
Issue
ISSN
40
10
0196-2892
Citations 
PageRank 
References 
17
11.79
4
Authors
8
Name
Order
Citations
PageRank
Thomas J. Jackson11368247.01
A. J. Gasiewski214845.73
A. Oldak314749.19
M. Klein49934.44
E. G. Njoku550098.59
A. Yevgrafov65132.62
S. Christiani71711.79
R. Bindlish85116.09