Topographic Effects on Leaf Area Index Retrieval by Remote Sensing Approach

被引：0
|
作者：
Yu, Wentao [1 ,2 ]
Li, Jing [1 ]
Liu, Qinhuo [1 ,2 ]
机构：
[1] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
来源：
2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019) | 2019年
关键词：
Leaf area index; error analysis; rugged terrain; topography; VEGETATION; LAI;
D O I：
10.1109/igarss.2019.8900658
中图分类号：
P [天文学、地球科学];
学科分类号：
07 ;
摘要：
Topography significantly complicates the radiative transfer process and further to influence the parameter inversion by remote sensing approach. Neglecting the topographic effects may lead to large uncertainties when estimating LAI (Leaf area index) over rugged terrain. In this study, the topographic effects are quantitatively investigated and analyzed based on the DART (discrete anisotropic radiative transfer) simulations and ANN (artificial neural network) -based LAI inversion approach. And the influence factors on LAI inversion is analyzed. The results reveal that the topography can account for more than 50% uncertainties of LAI and may result in not invertible cases. the topographic effects on LAI cannot be neglected in the inversion process.
引用
收藏
页码：6539 / 6542
页数：4
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