文献类型：会议论文

英文题名：Forest Biomass Estimation using Fourier-based Textural Ordination of High Resolution Airborne Optical Image

作者：Meng, Shili[1] Pang, Yong[2] Zhang, Zhongjun[1]

第一作者：Meng, Shili

通信作者：Meng, SL[1]

机构：[1]Beijing Normal Univ, Coll Informat Sci & Technol, Beijing 100875, Peoples R China;[2]Chinese Acad Forestry, Inst Forest Resource Informat Tech, Beijing 10091, Peoples R China

会议论文集：3rd International Workshop on Earth Observation and Remote Sensing Applications (EORSA)

会议日期：JUN 11-14, 2014

会议地点：Changsha, PEOPLES R CHINA

语种：英文

外文关键词：Temperate Forests; Biomass; Texture Indices; FOTO; High Resolution airborne Optical Image

年份：2014

摘要：Accurately assessing biomass of temperate forests from remote sensing observation still remains a great challenge. High resolution optical imageries become more and more widely available from many kinds of space-borne and airborne sensors at reasonable price. These high resolution imageries contain ample texture indices which have already been used in remote sensing classification and forest structure parameter estimation. Fourier-based Textural Ordination (FOTO) method is one of recent technique developed texture indices, which combines Fast Fourier transform (FFT) and principle component analysis (PCA) then derives texture indices. These FOTO texture indices contain canopy grain information in high resolution optical image have successfully predicted forest biomass in some tropical area. Our research performed FOTO method in LiangShui National Nature Reserve, where is a typical representative of the broadleaf mixed coniferous temperate forests, located in Heilongjiang Province, northeast of China. The airborne optical image acquired in September 22th, 2009 were used. Our research showed that texture indices derived based on FOTO method had great potential for forest biomass estimation in temperate zone and the inversion results proved to be accurate predictions.