文献类型：期刊文献

中文题名：基于ENVISAT ASAR数据的森林蓄积量估测研究

英文题名：Estimating Forest Volume Using ENVISAT ASAR Data

作者：朱海珍[1] 庞勇[2] 杨飞[3] 李艳华[1]

第一作者：朱海珍

机构：[1]廊坊师范学院建筑工程学院;[2]中国林业科学研究院资源信息研究所;[3]廊坊市第二市政工程公司

年份：2007

卷号：23

期号：2

起止页码：51-55

中文期刊名：地理与地理信息科学

外文期刊名：Geography and Geo-Information Science

收录：CSTPCD;;国家哲学社会科学学术期刊数据库;北大核心:【北大核心2004】；CSCD:【CSCD2011_2012】；

基金：中欧合作龙计划森林项目(2583);国家863计划项目"ENVISAT对地观测数据科学研究与应用开发"(2004AA133010)

语种：中文

中文关键词：ENVISAT;ASAR;后向散射系数;蓄积量估测

外文关键词：ENVISAT ASAR; backscattering coefficient; forest volume estimate

分类号：TP79

摘要：以东北大兴安岭地区的图强林业局作为试验区,基于统计方法对多时相ENVISAT ASAR数据进行森林蓄积量估测研究,分别选取HH、HV及HV/HH值分析森林蓄积量与SAR后向散射系数之间的关系;根据其散点图形状进行方程拟合及优选,完成蓄积量的估测。利用独立的检验样本对估测结果进行评价,均方根误差(RMSE)为16.526 m3/hm2,与实际情况基本相符。
With the development of the synthetic aperture radar （SAR）, microwave remote sensing, because of its particular imaging mechanism and the capability of acquiring data in any time, is becoming a very important technology to estimate regional and globe forest biomass and has itself advantage, which can＇ t be replaced by the other optical remote sensing data. Based on the statistics method, ENVISAT ASAR data was used to estimate forest volume in Tuqiang Forest Bureau, Daxing＇ anling, Northeast China. In this paper, the relationship between forest volume and SAR backscattering characteristic was analyzed. According to the shape of scatter plot, the authors fitted and optimized regressive equatlon,and then estimated the forest volume. Using the independent checking samples, the results were evaluated,and the root mean square error （RMSE） was 16.526 m^3/hm^2.