Relationship between SAR and Biomass Derived from LiDAR in Mountain Areas
In this paper,the response of ALOS (the Advanced Land Observing Satellite) PALSAR (the Phased Array type Lband Synthetic Aperture Radar) data to the forest biomass was analyzed in the Qilian Mountain area within Gansu province,western China.Due to not enough field biomass,the Light Detection and Ranging (LiDAR) data was used to extract biomass in 20m X 20m cell. Then,the relationship between PALSAR backscattering coefficient in HH and HV polarization and Lidar-derived forest aboveground biomass was analyzed. The result showed that at each biomass level,the range of backscatter coefficient in HH and HV polarization was very big and there was no obvious relationship between SAR backscatter coefficient and biomass in pixel scale,while after averaging backscatter coefficients in different biomass level,backscatter coefficient in HV polarization increased with the increase of forest biomass and following one logarithm equation. The reason may be that forest structure is complex in pixel scale,while the average value partly removes he forest structure difference.
ALOS PALSAR Aboveground biomass LiDAR Forest Polarization
Qisheng He Chunxiang Cao Erxue Chen Feilong Ling Hao Zhang
State Key Laboratory of Remote Sensing Science,Jointly Sponsored by the Institute of Remote Sensing Institute of Forest Resource Information Technique,The Chinese Academy of Forestry,Dong Xiao Fu 1 Ha
国际会议
2009 2nd Asian-Pacific Conference on Synthetic Aperture Radar(第二届亚太合成孔径雷达会议)
西安
英文
136-139
2009-10-26（万方平台首次上网日期，不代表论文的发表时间）