DocumentCode :
1084592
Title :
Adaptation of the MIMICS backscattering model to the agricultural context-wheat and canola at L and C bands
Author :
Tour, Alassane ; Thomson, Keith P B ; Edwards, Geoffrey ; Brown, Ron J. ; Brisco, Brian G.
Author_Institution :
Centre de Recherche en Geomatique, Laval Univ., Que., Canada
Volume :
32
Issue :
1
fYear :
1994
fDate :
1/1/1994 12:00:00 AM
Firstpage :
47
Lastpage :
61
Abstract :
Presents the results obtained from the MIMICS (Michigan Microwave Canopy Scattering) forest backscattering model which was modified to accommodate agricultural parameters. In the MIMICS model, the forest canopy is divided into three regions: the crown layer, the trunk region, and the underlying rough ground. The crop cover situation is simulated by a rough ground and a crown layer composed of scatterers with different forms, distributions, and dielectric constants. The authors omit trunks from the final agricultural representation because these components are of the same order as the wavelength, contrary to the model´s implicit assumptions. The simulation results are compared to ground based scatterometer data of wheat and canola. The paper describes the simulation results for the two crops at L and C bands and the two like polarizations. An analysis of the different backscattering mechanisms is also given for each crop. Good simulation results were obtained at L and C bands for HH polarization for both these crops throughout the growing season. An error analysis indicates that the soil moisture can be predicted with a precision better than 0.03 g/cm3 for both crops, if all other model parameters are known. In addition, if the moisture is known, the height of the stems and the diameter of the leaves of the canola crop can be estimated with a precision better than ±5 cm and ±0.5 cm, respectively
Keywords :
agriculture; geophysical techniques; hydrological techniques; remote sensing by radar; soil; C band; L band UHF SHF; MIMICS backscattering model; Michigan Microwave Canopy Scattering; agricultural parameters; agriculture; canola; crop cover; forest; geophysics; hydrology; leaves; measurement technique; microwave; polarization; radar remote sensing; soil moisture; stem height; wheat; Backscatter; Context modeling; Crops; Dielectric constant; Polarization; Radar scattering; Satellites; Spaceborne radar; Synthetic aperture radar; Vegetation mapping;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/36.285188
Filename :
285188
Link To Document :
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