首页|基于ENVISAT ASAR数据的森林蓄积量估测研究

基于ENVISAT ASAR数据的森林蓄积量估测研究

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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.
Estimating Forest Volume Using ENVISAT ASAR Data
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 equation,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 m3/hm2.

ENVISAT ASARbackscattering coefficientforest volume estimate

朱海珍、庞勇、杨飞、李艳华

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廊坊师范学院建筑工程学院,河北,廊坊,065000

中国林业科学研究院资源信息研究所,北京,100091

廊坊市第二市政工程公司,河北,廊坊,065000

ENVISAT ASAR 后向散射系数 蓄积量估测

中欧合作龙计划森林项目国家高技术研究发展计划(863计划)

25832004AA133010

2007

地理与地理信息科学
河北省科学院地理科学研究所

地理与地理信息科学

CSTPCDCSCDCHSSCD
影响因子:1.122
ISSN:1672-0504
年,卷(期):2007.23(2)
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