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A high-resolution dataset of water bodies distribution over the Tibetan Plateau.
Chen, Zhengchao; Guo, Linan; Wu, Yanhong; Zhang, Bing; Chen, Pan; Yang, Xuan; Guo, Jiawei.
Affiliation
  • Chen Z; State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100094, China.
  • Guo L; International Research Center of Big Data for Sustainable Development Goals, Beijing, 100094, China.
  • Wu Y; China University of Mining & Technology-Beijing, Beijing, 100083, China.
  • Zhang B; International Research Center of Big Data for Sustainable Development Goals, Beijing, 100094, China.
  • Chen P; Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100094, China.
  • Yang X; Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100094, China. zb@radi.ac.cn.
  • Guo J; University of the Chinese Academy of Sciences, Beijing, 100049, China. zb@radi.ac.cn.
Sci Data ; 11(1): 453, 2024 May 04.
Article in En | MEDLINE | ID: mdl-38704376
ABSTRACT
Water body (WB) extraction is the basic work of water resources management. Tibetan Plateau is one of the largest alpine lake systems in the world. However, research on the characteristics of water bodies (WBs) is mainly focused on large and medium WBs due to spatial resolution. This research presents a dataset containing a 2-m resolution map of WBs in 2020 based on Gaofen-1 data, and morphometric and landscape indices of WBs across the Tibetan Plateau. The Swin-UNet model is well performed with overall accuracy at 98%. The total area of WBs is 56354.6 km2 across Tibetan Plateau in 2020. The abundance compared with that from size-abundance relationship indicate WBs in the Tibetan Plateau conformed to the classic power scaling law. We evaluate the influence of spatial-resolution in WB extraction, which shows the dataset could be valuable to fill the gap of existing WBs map, especially for small waters. The dataset is valuable for revealing the spatial patterns of WBs, and understanding the impacts of climate change on water resources in Plateau.

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Sci Data Year: 2024 Document type: Article Affiliation country: China Country of publication: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Sci Data Year: 2024 Document type: Article Affiliation country: China Country of publication: United kingdom