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遥感技术与应用  2012, Vol. 27 Issue (1): 45-50    DOI: 10.11873/j.issn.1004-0323.2012.1.45
(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 Feng1,2,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 



关键词: GLAS数据平均树高森林蓄积量香格里拉    

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  


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。。
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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.


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