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Forest canopy height estimation from interferometric TanDEM-X coherence data over complex terrain area  ( EI收录)   被引量:9

文献类型:期刊文献

英文题名:Forest canopy height estimation from interferometric TanDEM-X coherence data over complex terrain area

作者:Fan, Yaxiong[1] Chen, Erxue[1] Li, Zengyuan[1] Zhang, Wangfei[1,2] Zhao, Lei[1] Ji, Yongjie[2]

第一作者:范亚雄

通信作者:Li, Zengyuan

机构:[1] Institute of Forest Resources Information Technique, Chinese Academy of Forestry, Beijing, China; [2] College of Forestry, Southwest Forestry University, Kunming, China

年份:2018

卷号:2018-July

起止页码:4579-4582

外文期刊名:International Geoscience and Remote Sensing Symposium (IGARSS)

收录:EI(收录号:20191606778357)

语种:英文

外文关键词:Geology - Remote sensing - Forestry

摘要:In this study, a simple semi-empirical model based on random volume over ground model framework was used to estimate forest canopy height through single-pass TanDEM-X interferometric coherence data. Many studies have showed that SINC model could have good performance for forest canopy height inversion in relatively flat areas, this paper is aimed at assessing whether this method works well over complex terrain areas. The result showed that the inversion accuracy is influenced by local incidence angle and should be considered when mapping forest canopy height using SINC model. ? 2018 IEEE.

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