NDLI: Relationship between SAR and biomass derived from LiDAR in Mountain areas

Content Provider	IEEE Xplore Digital Library
Author	Qisheng He Chunxiang Cao Erxue Chen Feilong Ling Hao Zhang
Copyright Year	2009
Description	Author affiliation: State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Beijing 100101, PR. China (Qisheng He; Chunxiang Cao; Hao Zhang) \|\| Institute of Forest Resource Information Technique, The Chinese Academy of Forestry, Dong Xiao Fu 1 Hao, Haidian, District, Beijing 100091, PR. China (Erxue Chen; Feilong Ling)
Abstract	In this paper, the response of ALOS (the Advanced Land Observing Satellite) PALSAR (the Phased Array type L-band 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 × 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.
Starting Page	136
Ending Page	139
File Size	150549
Page Count	4
File Format	PDF
ISBN	9781424427314
DOI	10.1109/APSAR.2009.5374138
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-10-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Polarization LiDAR Biomass Data mining L-band Phased arrays Laser radar Satellites Radar detection Forest ALOS PALSAR Synthetic aperture radar Backscatter Aboveground biomass
Content Type	Text
Resource Type	Article

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