DocumentCode
1024666
Title
Preliminaly Evaluation of the SIR-B Response to Soil Moisture, Surface Roughness, and Crop Canopy Cover
Author
Dobson, Myron C. ; Ulaby, Fawwaz T.
Author_Institution
Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI 48109
Issue
4
fYear
1986
fDate
7/1/1986 12:00:00 AM
Firstpage
517
Lastpage
526
Abstract
stract-Two pre-dawn ascending data-akes (dt. 49.2 and 97.2) by the Shuttle Imaging Radar (SIR-B) are used to evaluate the effects of soil moisture, surface roughness, and crop canopy cover on radar backscattering. The two images are separated in acquisition date by three days and were obtained at the same local angle of incidence (¿1 = 30°) but with opposite azimuth viewing directions (¿¿ = 180°). The digitally recorded and processed SIR-B imagery is externallyi-calibrated with respect to the radar backscattering coefficient ¿° via response to arrays of point and area-extended targets of known radar cross section. Extensive ancillary data pertaining to scene physical and biophysical al conditions were collected from approximately 400 agricultural fields within a 20 km à 20 km test site in west-central Illinois. The test site was largely agricultural and consisted primarily of corn and soybeans at harvest-ready conditions. For the agricultural portions of the scene, ¿°SIR-B is found to vary over a 16-to 20-dB dynamic range for a given observation date. The magnitude of ¿°SIR-B is found to be proportional to soil moisture, surface roughness, and canopy biomass. Although the SIR-B sensor parameters es ( L-band, HH polarization, ¿nd 0 ° 300) were not expected to be optimum for estimation of near-surface soil moisture, significant linear correlations are observed between ¿°SIR-B (in decibels) and 0-5-cm volumetric moisture m¿. For a given target class as broadly defined by surface roughness and canopy cover, linear regression of ¿°SIR-B (dB) to m¿ generally yields correlation coefficients of r2 0.8.
Keywords
Azimuth; Backscatter; Crops; Layout; Radar cross section; Radar imaging; Rough surfaces; Soil moisture; Surface roughness; Testing;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing, IEEE Transactions on
Publisher
ieee
ISSN
0196-2892
Type
jour
DOI
10.1109/TGRS.1986.289666
Filename
4072501
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