Time series sUAV data reveal moderate accuracy and large uncertainties in spring phenology metric of deciduous broadleaf forest as estimated by vegetation index-based phenological models

被引：0

作者：

Pan, Li ^{[1
]}

Xiao, Xiangming ^{[1
]}

Xia, Haoming ^{[2
]}

Ma, Xiaoyan ^{[2
]}

Xie, Yanhua ^{[3
]}

Pan, Baihong ^{[1
]}

Qin, Yuanwei ^{[1
]}

机构：

[1] School of Biological Sciences, Center for Earth Observation and Modeling, University of Oklahoma, Norman,OK,73019, United States

[2] College of Geography and Environmental Science, Henan University, Henan, Kaifeng,475001, China

[3] Department of Geography and Environmental Sustainability, University of Oklahoma, Norman,OK,73019, United States

来源：

基金：

美国国家科学基金会; 中国国家自然科学基金; 美国国家航空航天局;

关键词：

Unmanned aerial vehicles (UAV);

D O I：

10.1016/j.isprsjprs.2024.09.023

中图分类号：

学科分类号：

摘要：

引用

页码：339 / 351

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