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A simulation study of the effects of land cover and crop type on sensing soil moisture with an orbital C-band radarSimulated C-band radar imagery for a 124-km by 108-km test site in eastern Kansas is used to classify soil moisture. Simulated radar resolutions are 100 m by 100 m, 1 km by 1 km, and 3 km by 3 km, and each is processed using more than 23 independent samples. Moisture classification errors are examined as a function of land-cover distribution, field-size distribution, and local topographic relief for the full test site and also for subregions of cropland, urban areas, woodland, and pasture/rangeland. Results show that a radar resolution of 100 m by 100 m yields the most robust classification accuracies.
Document ID
19850035351
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Dobson, M. C. (Kansas Univ. Center for Research, Inc. Lawrence, KS, United States)
Ulaby, F. T. (Kansas Univ. Center for Research, Inc. Lawrence, KS, United States)
Moezzi, S. (Kansas Univ. Center for Research, Inc. Lawrence, KS, United States)
Roth, E. (University of Kansas Center for Research, Inc., Lawrence KS, United States)
Date Acquired
August 12, 2013
Publication Date
January 1, 1983
Subject Category
Earth Resources And Remote Sensing
Meeting Information
Meeting: 1983 International Geoscience and Remote Sensing Symposium (IGARSS ''83)
Location: San Francisco, CA
Start Date: August 31, 1983
End Date: September 2, 1983
Accession Number
85A17502
Funding Number(s)
CONTRACT_GRANT: NCC9-6
Distribution Limits
Public
Copyright
Other

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