Remote Sensing of Land Surface Phenology: Editorial

被引：1
|
作者：
Ma, Xuanlong [1 ]
Jin, Jiaxin [2 ]
Zhu, Xiaolin [3 ]
Zhou, Yuke [4 ]
Xie, Qiaoyun [5 ]
机构：
[1] Lanzhou Univ, Coll Earth & Environm Sci, Lanzhou 730000, Peoples R China
[2] Hohai Univ, Coll Hydrol & Water Resources, Nanjing 210024, Peoples R China
[3] Hong Kong Polytech Univ, Dept Land Surveying & Geoinformat, Hong Kong, Peoples R China
[4] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modelling, Beijing 100101, Peoples R China
[5] Univ Technol Sydney, Fac Sci, Sch Life Sci, Sydney, NSW 2007, Australia
来源：
REMOTE SENSING | 2022年 / 14卷 / 17期
基金：
中国国家自然科学基金;
关键词：
UNMANNED AERIAL VEHICLE; VEGETATION PHENOLOGY; SPRING PHENOLOGY; PRODUCTIVITY; CAATINGA; FOREST; MODIS;
D O I：
10.3390/rs14174310
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
引用
收藏
页数：5
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