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Estimating soil wetness using satellite dataImproved estimates of soil wetness were obtained using observations from both the NIMBUS-7 Scanning Multichannel Microwave Radiometer (SMMR) and the NOAA-7 Advanced Very High Resolution Radiometer (AVHRR). SMMR 66 GHz frequency, horizontal polarization, brightness temperature T(BH) was first correlated with soil wetness, as computed using an Antecedent Precipitation Index (API) model, for a number of SMMR ground resolution areas involving a fairly wide range of vegetation densities. The API generally accounted for more than 70 percent of the observed temporal variability in T(BH), with linear correlations being significant at the 1 percent level. The regression slope of T(BH) versus API correlated well, at the 1 percent level, with a vegetation index derived from AVHRR visible and near-infrared observations. The regression intercept was found to correlate less satisfactorily, but was significant at the 5 percent level. These linear regression results were used to develop a diagnostic model for soil wetness using SMMR and AVHRR data only.
Document ID
19880065805
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
Authors
Choudhury, Bhaskar J.
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Golus, Robert E.
(Science Applications Research Lanham, MD, United States)
Date Acquired
August 13, 2013
Publication Date
July 1, 1988
Publication Information
Publication: International Journal of Remote Sensing
Volume: 9
ISSN: 0143-1161
Subject Category
Earth Resources And Remote Sensing
Accession Number
88A53032
Distribution Limits
Public
Copyright
Other

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