DocumentCode :
1370692
Title :
The integral equation model and surface roughness signatures in soil moisture and tillage type determination
Author :
Colpitts, Bruce G.
Author_Institution :
Dept. of Electr. Eng., New Brunswick Univ., Fredericton, NB, Canada
Volume :
36
Issue :
3
fYear :
1998
fDate :
5/1/1998 12:00:00 AM
Firstpage :
833
Lastpage :
837
Abstract :
A proposed application of RADARSAT, C-band, HH-polarized, satellite-based, synthetic aperture radar (SAR) identifies agricultural tillages and soil moisture through multi-incidence angle observations. A procedure to accomplish this has been developed using the integral equation (IE) model and a roughness signature for each anticipated tillage type. Through a comparison of the IE model, using each roughness signature over a range of moisture levels, to the measured backscatter one can select the case with the least error. This procedure yields little confusion between rough and smooth tillages using scatterometer measurements of test plots where extensive moisture and roughness ground truth were obtained. There is, however, significant confusion in classification of tillages with similar roughness characteristics. The bare-field moisture level was determined with a mean error of 1.8% and a standard deviation of 5.8%, when the initial moisture level was constrained to ±10% of the actual level
Keywords :
agriculture; geophysical techniques; hydrological techniques; radar cross-sections; remote sensing by radar; soil; spaceborne radar; synthetic aperture radar; C-band; RADARSAT; SAR; agriculture; bare-field; geophysical measurement technique; hydrology; integral equation model; land surface; multi-incidence angle; radar polarimetry; radar remote sensing; remote sensing; soil moisture; surface roughness signature; synthetic aperture radar; terrain mapping; tillage type determination; Backscatter; Integral equations; Moisture measurement; Radar measurements; Rough surfaces; Soil measurements; Soil moisture; Surface roughness; Synthetic aperture radar; Testing;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/36.673676
Filename :
673676
Link To Document :
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