DocumentCode :
2131636
Title :
Comparison of SAR and optical images of the rainforests of Borneo, Malaysia with field data
Author :
Ouchi, Kazuo ; Ipor, Isa B.
Author_Institution :
Dept. of Environ. Syst. Eng., Kochi Univ. of Technol., Japan
Volume :
5
fYear :
2002
fDate :
2002
Firstpage :
2905
Abstract :
Preliminary results are described on the comparison of the optical and radar images of the rainforests of Sarawak, Malaysia, with the ground-truth data collected from the field survey. The test sites are the mangrove and adjacent virgin forests, and oil-palm plantation areas. Visible and infrared images acquired by the MOS-1b have shown their capability of extracting deforestation areas, but their applications to mangrove forests are limited. Operating at L-band with longer penetration depth, the JERS-1 SAR is superior to the ERS-2 C-band SAR for differentiating the mangrove from virgin forests, although both forests have biomass similar and well above the saturation range of the L-band RCS. The field data show that the mean tree diameter is about a half the radar wavelength in both the forests, indicating that the L-band microwave is "semi-transparent" in these forests. It is, thus, concluded that the lower (about 6 dB) RCS in the mangrove is due to specular reflection beneath the forests; while in the virgin forests there is a substantial amount of diffuse scattering by undergrowth. This hypothesis is supported by the difference in image intensity between the dry and wet seasons.
Keywords :
forestry; radar imaging; synthetic aperture radar; vegetation mapping; Borneo; L-band; MOS-1b data; Malaysia; SAR images; Sarawak; biomass; deforestation areas; diffuse scattering; dry season; infrared images; mangrove forests; oil-palm plantation; optical images; penetration depth; rainforests; saturation range; specular reflection; tree diameter; undergrowth; virgin forests; wet season; Biomedical optical imaging; Data mining; Infrared imaging; L-band; Laser radar; Optical saturation; Optical scattering; Radar cross section; Radar imaging; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International
Print_ISBN :
0-7803-7536-X
Type :
conf
DOI :
10.1109/IGARSS.2002.1026817
Filename :
1026817
Link To Document :
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