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

Volume

4

fYear

2000

fDate

2000

Firstpage

1399

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International

Conference_Location

Honolulu, HI

Print_ISBN

0-7803-6359-0

Type

conf

DOI

10.1109/IGARSS.2000.857219

Filename

857219