A high-resolution dataset of water bodies distribution over the Tibetan Plateau

Zhengchao Chen; Linan Guo; Yanhong Wu; Bing Zhang; Pan Chen; Xuan Yang; Jiawei Guo

doi:10.1038/s41597-024-03290-4

A high-resolution dataset of water bodies distribution over the Tibetan Plateau

Sci Data. 2024 May 4;11(1):453. doi: 10.1038/s41597-024-03290-4.

Authors

Zhengchao Chen^#¹, Linan Guo^#^{2

3}, Yanhong Wu^{2

4}, Bing Zhang^{5

6}, Pan Chen⁷, Xuan Yang⁸, Jiawei Guo²

Affiliations

¹ State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100094, China.
² International Research Center of Big Data for Sustainable Development Goals, Beijing, 100094, China.
³ China University of Mining & Technology-Beijing, Beijing, 100083, China.
⁴ Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100094, China.
⁵ Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100094, China. zb@radi.ac.cn.
⁶ University of the Chinese Academy of Sciences, Beijing, 100049, China. zb@radi.ac.cn.
⁷ Center for Geo-Spatial Information, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.
⁸ China Remote Sensing Satellite Ground Station, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100094, China.

^# Contributed equally.

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.

Publication types

Dataset
Research Support, Non-U.S. Gov't