Articles | Volume 12, issue 3
https://doi.org/10.5194/essd-12-1625-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-12-1625-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development of a global 30 m impervious surface map using multisource and multitemporal remote sensing datasets with the Google Earth Engine platform
Xiao Zhang
State Key Laboratory of Remote Sensing Science, Aerospace Information
Research Institute, Chinese Academy of Sciences, Beijing 100094, China
University of the Chinese Academy of Sciences, Beijing 100049, China
State Key Laboratory of Remote Sensing Science, Aerospace Information
Research Institute, Chinese Academy of Sciences, Beijing 100094, China
University of the Chinese Academy of Sciences, Beijing 100049, China
Changshan Wu
Department of Geography, University of Wisconsin-Milwaukee,
Milwaukee, WI, USA
Xidong Chen
State Key Laboratory of Remote Sensing Science, Aerospace Information
Research Institute, Chinese Academy of Sciences, Beijing 100094, China
University of the Chinese Academy of Sciences, Beijing 100049, China
Yuan Gao
State Key Laboratory of Remote Sensing Science, Aerospace Information
Research Institute, Chinese Academy of Sciences, Beijing 100094, China
College of Geomatics, Xi'an University of Science and Technology,
Xi'an 710054, China
Shuai Xie
State Key Laboratory of Remote Sensing Science, Aerospace Information
Research Institute, Chinese Academy of Sciences, Beijing 100094, China
University of the Chinese Academy of Sciences, Beijing 100049, China
Bing Zhang
State Key Laboratory of Remote Sensing Science, Aerospace Information
Research Institute, Chinese Academy of Sciences, Beijing 100094, China
University of the Chinese Academy of Sciences, Beijing 100049, China
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Latest update: 26 Apr 2024
Short summary
The amount of impervious surface is an important indicator in the monitoring of the intensity of human activity and environmental change. In this study, a global 30 m impervious surface map was developed by using multisource, multitemporal remote sensing data based on the Google Earth Engine platform. The accuracy assessment indicated that the generated map had more optimal measurement accuracy compared with other state-of-art impervious surface products.
The amount of impervious surface is an important indicator in the monitoring of the intensity of...
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