A dataset of remote-sensed Forel-Ule Index for global inland waters during 2000–2018

Shenglei Wang; Junsheng Li; Wenzhi Zhang; Chang Cao; Fangfang Zhang; Qian Shen; Xianfeng Zhang; Bing Zhang

doi:10.1038/s41597-021-00807-z

Scientific Data (Jan 2021)

A dataset of remote-sensed Forel-Ule Index for global inland waters during 2000–2018

Shenglei Wang,
Junsheng Li,
Wenzhi Zhang,
Chang Cao,
Fangfang Zhang,
Qian Shen,
Xianfeng Zhang,
Bing Zhang

Affiliations

Shenglei Wang: School of Earth and Space Sciences, Peking University
Junsheng Li: Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences
Wenzhi Zhang: Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences
Chang Cao: School of Earth Sciences and Resources, China University of Geoscience (Beijing)
Fangfang Zhang: Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences
Qian Shen: Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences
Xianfeng Zhang: School of Earth and Space Sciences, Peking University
Bing Zhang: Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences

DOI: https://doi.org/10.1038/s41597-021-00807-z
Journal volume & issue: Vol. 8, no. 1
pp. 1 – 10

Abstract

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Measurement(s) color Technology Type(s) satellite imaging Factor Type(s) temporal interval Sample Characteristic - Environment water body • lake Sample Characteristic - Location global Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.13257218

Published in Scientific Data

ISSN: 2052-4463 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/sdata/

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