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

Zhengchao ChenLinan GuoYanhong WuBing ZhangPan ChenXuan YangJiawei Guo
Published in: Scientific data (2024)
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 km 2 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.
Keyphrases
  • climate change
  • high resolution
  • single molecule
  • electronic health record
  • big data
  • microbial community
  • antibiotic resistance genes
  • high density
  • artificial intelligence