A fully automatic and high-accuracy surface water mapping framework on Google Earth Engine using Landsat time-series-Reference-Cited by-同舟云学术

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A fully automatic and high-accuracy surface water mapping framework on Google Earth Engine using Landsat time-series

Published:2023-02-06 Issue:1 Volume:16 Page:210-233
ISSN:1753-8947
Container-title:International Journal of Digital Earth
language:en
Short-container-title:International Journal of Digital Earth

Author:

Yue Linwei¹²,Li Baoguang¹,Zhu Shuang¹²,Yuan Qiangqiang³,Shen Huanfeng⁴^ORCID

Affiliation:

1. School of Geography and Information Engineering, China University of Geosciences, Wuhan, People’s Republic of China

2. National Engineering Research Center of Geographic Information System, China University of Geosciences, Wuhan, People’s Republic of China

3. School of Geodesy and Geomatics, Wuhan University, Wuhan, People’s Republic of China

4. School of Resources and Environmental Science, Wuhan University, Wuhan, People’s Republic of China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,Computer Science Applications,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/17538947.2023.2166606

Reference34 articles.

1. A generalized supervised classification scheme to produce provincial wetland inventory maps: an application of Google Earth Engine for big geo data processing

2. Optical Properties and Remote Sensing of Inland and Coastal Waters

3. Normalized difference water indexes have dissimilar performances in detecting seasonal and permanent water in the Sahara–Sahel transition zone

4. Automated Water Extraction Index: A new technique for surface water mapping using Landsat imagery

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