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FOREST RESOURCES WANAGEMENT ›› 2010›› Issue (1): 113-117.

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Forest Volume Estimation Method Based on ALOS PALSAR Data

YANG Yongtian1,2, LI Zengyuan1,2, CHEN Erxue1,2, LING Feilong1,2   

  1. 1. Institute of Forest Resources Information Techniques, Chinese Academy of Forestry, Beijing, 100091;
    2. Laboratory for Forestry Remote Sensing and Information Techniques of State Forestry Administration, Beijing, 100091, China
  • Received:2009-12-30 Revised:2010-01-25 Published:2020-12-14

Abstract: Based on the ALOS PALSAR data and forest management inventory fixed plot data, nonlinear regression method was used for analyzing the relationship between backscattering coefficient and plot forest volume (m3/hm2). The test site was located in Wangqing Forest Bureau of Jilin Province. Results showed that HV polarization backscattering coefficient has good positive correlation with forest volume except forest stand with Poplar (Populus ussuriensis) as the dominant tree species. For most forest stands no matter what kinds of dominant tree species, the coefficient of determination between HV polarization and forest volume is higher than that between HH polarization and forest volume. Results also showed the difference between the result estimated from SAR data using regression method and that estimated directly from plots data is small when the forest farm is taken as a basic statistic unit.

Key words: ALOS PALSAR, backscattering coefficient, forest volume

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