Modeling Anisotropic Bidirectional Reflectance of Sloping Forest

被引：0

作者：

Wu, Shengbiao ^{[1
]}

Wen, Jianguang ^{[1
]}

Tang, Yong ^{[1
]}

You, Donqin ^{[1
]}

Zhao, Jun ^{[2
]}

机构：

[1] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China

[2] Qingdao Geotech Invest & Surveying Res Inst, Qingdao 100142, Peoples R China

来源：

2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2017年

关键词：

Sloping forest; Topography; BRDF; DART; CANOPY; TERRAIN;

D O I：

暂无

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

A well understanding of topography effect on the forest reflectance is critical for biophysical parameters retrieval over rugged area. In this paper, a new hybrid bidirectional reflectance distribution function (BRDF) model coupled the geometric optical mutual shadowing (GOMS) and scattering from arbitrarily inclined leaves (SAIL) models with topography consideration (GOSAILT) for sloping forest was proposed.

引用

页码：3874 / 3877

页数：4

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