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Quantifying spatial and temporal variabilities of microwave brightness temperature over the U.S. Southern Great PlainsSpatial and temporal variabilities of microwave brightness temperature over the U.S. Southern Great Plains are quantified in terms of vegetation and soil wetness. The brightness temperatures (TB) are the daytime observations from April to October for five years (1979 to 1983) obtained by the Nimbus-7 Scanning Multichannel Microwave Radiometer at 6.6 GHz frequency, horizontal polarization. The spatial and temporal variabilities of vegetation are assessed using visible and near-infrared observations by the NOAA-7 Advanced Very High Resolution Radiometer (AVHRR), while an Antecedent Precipitation Index (API) model is used for soil wetness. The API model was able to account for more than 50 percent of the observed variability in TB, although linear correlations between TB and API were generally significant at the 1 percent level. The slope of the linear regression between TB and API is found to correlate linearly with an index for vegetation density derived from AVHRR data.
Document ID
19870048035
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
Authors
Choudhury, B. J.
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Owe, M.
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Ormsby, J. P.
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Chang, A. T. C.
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Wang, J. R.
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Goward, S. N.
(Maryland, University College Park, United States)
Golus, R. E.
(Science Applications Research Lanham, MD, United States)
Date Acquired
August 13, 2013
Publication Date
February 1, 1987
Publication Information
Publication: International Journal of Remote Sensing
Volume: 8
ISSN: 0143-1161
Subject Category
Earth Resources And Remote Sensing
Accession Number
87A35309
Distribution Limits
Public
Copyright
Other

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