A lake data set for the Tibetan Plateau from the 1960s, 2005, and 2014.
Wei Wan, Di Long, Yang Hong, Yingzhao Ma, Yuan Yuan, Pengfeng Xiao, Hongtao Duan, Zhongying Han, Xingfa Gu
Author Information
Wei Wan: State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing 100084, China.
Di Long: State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing 100084, China.
Yang Hong: State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing 100084, China.
Yingzhao Ma: State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing 100084, China.
Yuan Yuan: School of Geosciences, China University of Petroleum, Qingdao 266580, China.
Pengfeng Xiao: Department of Geographical Information Science, Nanjing University, Nanjing 210023, China.
Hongtao Duan: State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China.
Zhongying Han: State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing 100084, China.
Xingfa Gu: Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China.
Long-term datasets of number and size of lakes over the Tibetan Plateau (TP) are among the most critical components for better understanding the interactions among the cryosphere, hydrosphere, and atmosphere at regional and global scales. Due to the harsh environment and the scarcity of data over the TP, data accumulation and sharing become more valuable for scientists worldwide to make new discoveries in this region. This paper, for the first time, presents a comprehensive and freely available data set of lakes' status (name, location, shape, area, perimeter, etc.) over the TP region dating back to the 1960s, including three time series, i.e., the 1960s, 2005, and 2014, derived from ground survey (the 1960s) or high-spatial-resolution satellite images from the China-Brazil Earth Resources Satellite (CBERS) (2005) and China's newly launched GaoFen-1 (GF-1, which means high-resolution images in Chinese) satellite (2014). The data set could provide scientists with useful information for revealing environmental changes and mechanisms over the TP region.
