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A simulation study of scene confusion factors in sensing soil moisture from orbital 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 1km, and 3 km by 3 km. Distributions of actual near-surface soil moisture are established daily for a 23-day accounting period using a water budget model. Within the 23-day period, three orbital radar overpasses are simulated roughly corresponding to generally moist, wet, and dry soil moisture conditions. The radar simulations are performed by a target/sensor interaction model dependent upon a terrain model, land-use classification, and near-surface soil moisture distribution. The accuracy of soil-moisture classification is evaluated for each single-date radar observation and also for multi-date detection of relative soil moisture change. In general, the results for single-date moisture detection show that 70% to 90% of cropland can be correctly classified to within +/- 20% of the true percent of field capacity. For a given radar resolution, the expected classification accuracy is shown to be dependent upon both the general soil moisture condition and also the geographical distribution of land-use and topographic relief. An analysis of cropland, urban, pasture/rangeland, and woodland subregions within the test site indicates that multi-temporal detection of relative soil moisture change is least sensitive to classification error resulting from scene complexity and topographic effects.
Document ID
19840005567
Acquisition Source
Legacy CDMS
Document Type
Contractor Report (CR)
Authors
Ulaby, F. T. (Kansas Univ. Center for Research, Inc. Lawrence, KS, United States)
Dobson, M. C. (Kansas Univ. Center for Research, Inc. Lawrence, KS, United States)
Moezzi, S. (Kansas Univ. Center for Research, Inc. Lawrence, KS, United States)
Roth, F. T. (Kansas Univ. Center for Research, Inc. Lawrence, KS, United States)
Date Acquired
September 4, 2013
Publication Date
August 1, 1983
Subject Category
Earth Resources And Remote Sensing
Report/Patent Number
E84-10042
RSL-601-1
SR-K3-04438
NASA-CR-171715
NAS 1.26:171715
Accession Number
84N13635
Funding Number(s)
CONTRACT_GRANT: NCC9-6
PROJECT: PROJ. AGRISTARS
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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