FAPAR retrieval from GF-5 hyperspectral images based on unified BRDF model

被引：0
|
作者：
Tian, Dingfang [1 ,2 ]
Yang, Siqi [1 ,2 ]
Xu, Dawei [3 ]
Ren, Huazhong [1 ,2 ]
Fan, Wenjie [1 ,2 ]
Liu, Rongyuan [4 ]
机构：
[1] Institution of Remote Sensing and Geographical Information System, Peking University, Beijing,100871, China
[2] Beijing Key Laboratory of Spatial Information Integration and Its Applications, Peking University, Beijing,100871, China
[3] Hulunber Grassland Ecosystem Observation and Research Station, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing,100081, China
[4] China Aero Geophysical Survey and Remote Sensing Center for Natural Resources, Beijing,100083, China
来源：
National Remote Sensing Bulletin | 2023年 / 27卷 / 03期
基金：
中国国家自然科学基金;
关键词：
Reflection;
D O I：
10.11834/jrs.20210097
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：5 / 17
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