Articles | Volume 12, issue 2
https://doi.org/10.5194/essd-12-1217-2020
© 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-12-1217-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Annual dynamics of global land cover and its long-term changes from 1982 to 2015
Han Liu
Ministry of Education Key Laboratory for Earth System Modeling,
Department of Earth System Science, Tsinghua University, Beijing, 100084,
China
Ministry of Education Key Laboratory for Earth System Modeling,
Department of Earth System Science, Tsinghua University, Beijing, 100084,
China
AI for Earth Lab, Cross-Strait Institute, Tsinghua University,
Beijing, 100084, China
Jie Wang
CORRESPONDING AUTHOR
AI for Earth Lab, Cross-Strait Institute, Tsinghua University,
Beijing, 100084, China
State Key Laboratory of Remote Sensing Science, Institute of Remote
Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, 100101,
China
Nicholas Clinton
Google LLC, 1600 Amphitheatre Parkway, Mountain View, CA 94043, USA
Yuqi Bai
Ministry of Education Key Laboratory for Earth System Modeling,
Department of Earth System Science, Tsinghua University, Beijing, 100084,
China
Shunlin Liang
Department of Geographical Sciences, University of Maryland, College
Park, MD 20742, USA
School of Remote Sensing Information Engineering, Wuhan University,
Wuhan, 430072, China
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Latest update: 20 Nov 2024
Short summary
We built the first set of 5 km resolution CDRs to record the annual dynamics of global land cover (GLASS-GLC) from 1982 to 2015. The average overall accuracy is 82 %. By conducting long-term change analysis, significant land cover changes and spatiotemporal patterns at various scales were found, which can improve our understanding of global environmental change and help achieve sustainable development goals. This will be further applied in Earth system modeling to facilitate relevant studies.
We built the first set of 5 km resolution CDRs to record the annual dynamics of global land...
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