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标题：PREDICTING TREE HEIGHT AND BIOMASS FROM GLAS DATA
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作者：G. Sun ; K.J. Ranson ; J. Masek 等
期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2007
卷号：XXXVI-7/C50
出版社：Copernicus Publications
摘要：Our previous studies using airborne lidar d ata have shown that the tree height indices derived from the GLAS and LVIS waveforms were highly correlated. The quartile waveform energy heigh ts derived from GLAS and LVIS data showed significan t correlations too. Because of these correlations and the fact that airborne lidar data has been shown to be an accurate index of forest bioma ss, we be lieve that the GLAS da ta will be useful for biomass sa mpling in regional to global scales. In this study, field measurements at GLAS foo tprints were used to furth er understand the physical meaning of the height indices derived from GLAS data, and to investigate the prediction capability of GLAS data. The near-repeat-pass GLAS data a cquired in Fall and early Summer were comp ared to investigate the data stability, seasonal effects, potential for change monitoring, and provide insight in sampling strategy of the heterogeneous forest structures
关键词：GLAS; lidar; forest structure; biomass