DocumentCode
1111914
Title
Discrete scatter model for microwave radar and radiometer response to corn: comparison of theory and data
Author
Chauhan, Narinder S. ; Le Vine, David M. ; Lang, R.H.
Author_Institution
Dept. of Electr. Eng., George Washington Univ., Washington, DC, USA
Volume
32
Issue
2
fYear
1994
fDate
3/1/1994 12:00:00 AM
Firstpage
416
Lastpage
426
Abstract
As part of the Multisensor Aircraft Campaign, MACHYDRO, two microwave sensors, NASA´s Airborne Synthetic Aperture Radar (AIRSAR) and Pushbroom Microwave Radiometer (PBMR) collected data over the same corn fields during the summer of 1990. During these flights, measurements were made on the ground of soil moisture and plant parameters. In this paper the measured canopy and soil parameters are used in a discrete scatter model to predict the response of both sensors (radar and radiometer). A distorted Born approximation is used to compute the scattering coefficient for the corn canopy. The backscatter coefficient gives the radar response and the radiometer response is obtained by integrating the bistatic coefficient over all scattering angles above ground. The objective of this analysis is to test the model and, in particular, to determine how well a single set of plant parameters and single model can yield agreement with both the radar and radiometer measurements. The model values are in reasonably good agreement with the measurements at horizontal polarization and reflect observed changes in soil moisture
Keywords
agriculture; backscatter; radar cross-sections; radiometry; remote sensing; remote sensing by radar; AD 1990; AIRSAR; MACHYDRO; Multisensor Aircraft Campaign; PBMR; Pushbroom Microwave Radiometer; SAR; agriculture; backscatter radar scattering; corn; crops; discrete scatter model; geophysical measurement technique; microwave radar; microwave radiometry; remote sensing; response; soil moisture; vegetation mapping; Aircraft; Distortion measurement; Microwave radiometry; Microwave sensors; Moisture measurement; Radar measurements; Radar scattering; Soil measurements; Soil moisture; Synthetic aperture radar;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing, IEEE Transactions on
Publisher
ieee
ISSN
0196-2892
Type
jour
DOI
10.1109/36.295056
Filename
295056
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