基于ICESat-GLAS数据估算复杂地形区域森林蓄积量潜力初探—以云南香格里拉县为例

doi:10.11873/j.issn.1004-0323.2012.1.45

遥感技术与应用

2012, Vol. 27

Issue (1): 45-50 DOI: 10.11873/j.issn.1004-0323.2012.1.45

模型与反演

基于ICESat-GLAS数据估算复杂地形区域森林蓄积量潜力初探—以云南香格里拉县为例

王金亮¹,程峰^1,2,王成²,陈联君¹,王小花¹

(1.云南师范大学旅游与地理科学学院,云南昆明 650092;2.中国科学院对地观测与数字地球科学中心,北京 100094)

Primary Discussion on the Potential of Forest Volume Estimating Using ICESat-GLAS Data in Complex Terrain Area—A Case Study of Shangrila,Yunnan Province

Wang Jinliang¹,Cheng Feng^1,2,Wang Cheng²,Chen Lianjun¹,Wang Xiaohua¹

(1.College of Tourism & Geographical Sciences,Yunnan Normal University,Kunming 650092,China; 2.Center for Earth Observation and Digital Earth,Chinese Academic of Science,Beijing 100094,China)

全文: PDF

摘要：

近年来ICESat\|GLAS波形数据被广泛地应用于森林生态参数的估算。为了研究大光斑激光雷达数据在复杂地形区域估算森林蓄积量方面的能力,以云南省香格里拉县为研究区域,将GLA01数据处理后得到的平均树高与实测树高及坡度进行对比,探究了坡度对GLAS数据估算平均树高的影响,同时将其与平均树高、光斑范围内森林蓄积量建立关系,初步研究三者之间的关系。结果表明,坡度会降低大光斑激光雷达数据估算森林植被高度的精度,但GLAS数据估算出的树高与实测的平均树高、蓄积量数据仍有较好的相关性,这说明利用GLAS数据估算森林蓄积量有较大的潜力。

关键词： GLAS数据; 平均树高; 森林蓄积量; 香格里拉

Abstract:

ICESatGLAS waveform data have being used widely in estimation of ecological parameters of forest in recent years.In order to judge the potential of large footprint LiDAR data of ICESatGLAS on estimating the forest volume in complex terrain,a case study of Shangrila,Yunnan Province,comparison between the average canopy height retrieved from the GLA01 data and canopy height measured in the field and slope data,and the impact of slope on the canopy height estimation by GLAS data had been also explored.Meanwhile,the relationship among the slope,the average canopy height and the field measured volume in large footprint had been discussed.The results show that the slope can reduce the accuracy of the estimation of the canopy height by using large footprint LiDAR data.However,there is a good relationship among the average canopy height derived from the GLAS data,canopy height and volume measured in the field and slope.It indicates that the potential of forest volume estimation by using GLAS data is great.

Key words: Data of ICESatGLAS Average canopy height Forest volume Shangrila

收稿日期: 2011-06-29 出版日期: 2012-03-22

P 237.9

基金资助:

国家自然科学基金项目“三江并流区森林生态系统碳储量遥感定量研究”(40861009),云南省中青年学术技术带头人培养项目(2008PY056)、中国科学院百人计划专项资助。

作者简介: 王金亮(1963-),男,云南武定人,博士,教授,主要从事资源环境遥感应用研究。Email:wang_jinliang@hotmail.com。

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引用本文:

王金亮,程峰,王成,陈联君,王小花. 基于ICESat-GLAS数据估算复杂地形区域森林蓄积量潜力初探—以云南香格里拉县为例[J]. 遥感技术与应用, 2012, 27(1): 45-50.

Wang JinliangCheng Feng,Wang Cheng,Chen Lianjun,Wang Xiaohua. Primary Discussion on the Potential of Forest Volume Estimating Using ICESat-GLAS Data in Complex Terrain Area—A Case Study of Shangrila,Yunnan Province. Remote Sensing Technology and Application, 2012, 27(1): 45-50.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2012.1.45 或 http://www.rsta.ac.cn/CN/Y2012/V27/I1/45

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