A new computationally efficient algorithm to generate global fractional vegetation cover from Sentinel-2 imagery at 10 m resolution-Reference-Cited by-同舟云学术

A new computationally efficient algorithm to generate global fractional vegetation cover from Sentinel-2 imagery at 10 m resolution

Published:2024-04-30 Issue:1 Volume:17 Page:
ISSN:1753-8947
Container-title:International Journal of Digital Earth
language:en
Short-container-title:International Journal of Digital Earth

Author:

Ma Xu¹^ORCID,Ding Jianli²,Sun Hui²,Lu Lei³,Cheng Xiao¹⁴,Zhang Fei⁵^ORCID,Xu Zhonglin⁶

Affiliation:

1. College of Geography and Remote sensing Sciences, Xinjiang key Laboratory of Oasis Ecology, Postdoctoral Mobile Station, Xingjiang University, Urumqi, People’s Republic of China

2. College of Geography and Remote sensing Sciences, Xinjiang key Laboratory of Oasis Ecology, Xingjiang University, Urumqi, People’s Republic of China

3. College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, People’s Republic of China

4. School of Geospatial Engineering and Science, Office of Scientific Research and Development, Polar Science Center, Sun Yat-sen Universty, Zhuhai, People’s Republic of China

5. College of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua, People’s Republic of China

6. College of Ecology and Environment Sciences, Xingjiang University, Urumqi, People’s Republic of China

Funder

National Natural Science Foundation of China

University of Basic Scientific Business Fees for Scientific Research Projects in the Xinjiang Uygur Autonomous Region

Xinjiang University

Postdoctoral Research Foundation of China

Open Project of Key Laboratory

Tianchi Doctoral Program in the Xinjiang Uygur Autonomous Region

State Key Laboratory of Desert and Oasis Ecology

General Project of the Central Asian Research Institute from Xinjiang University

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/17538947.2024.2344592

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