Title :
Temporal decorrelation of vegetation by environmental and seasonal effects
Author :
Sarabandi, K. ; Wilsen, C.B.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA
Abstract :
The temporal decorrelation of forests in response to environmental and seasonal effects is computed using the Michigan fractal-based coherent scattering model. Frequencies ranging from P- through X-band are considered. Substantial decorrelation (α<0.5) is observed for wind-blown trees at C-band and higher. Soil moisture does not, have a significant influence on decorrelation to (α>0.9). Finally, decorrelation is noted to increase with tree height and to decrease with defoliation
Keywords :
backscatter; forestry; fractals; geophysical techniques; radar cross-sections; radar theory; remote sensing by radar; synthetic aperture radar; vegetation mapping; C -band; L-band; Michigan fractal-based coherent scattering model; P-band; S-band; SAR; SHF; UHF; X-band; backscatter; defoliation; environmental effect; forest; forestry; geophysical measurement technique; radar remote sensing; radar scattering; season; seasonal effect; synthetic aperture radar; temporal decorrelation; tree height; vegetation mapping; wind-blown trees; Decorrelation; Fractals; Frequency; Layout; Polarization; Radar scattering; Soil moisture; Synthetic aperture radar interferometry; Vegetation; Wind;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-6359-0
DOI :
10.1109/IGARSS.2000.857219
