%0 Dataset
%T Thermokarst lakes on the Qinghai-Tibet Plateau
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/77d1c8e1-e8b5-4c1e-a061-1b2d987bbe11
%W NCDC
%R 10.12072/ncdc.LZU.db0001.2021
%A Chen Xu
%A Mu Cuicui
%A Jia Lin
%A Li Zhilong
%A Fan Chengyan
%A Mu Mei
%A Peng xiaoqing
%A Wu Xiaodong
%K Climate change;permafrost degradation;Qinghai-Tibetan Plateau;thermokarst lakes
%X The Qinghai-Tibetan Plateau (QTP), the largest high-altitude and low-latitude permafrost zone in the world, has experienced rapid permafrost degradation in recent decades, and one of the most remarkable resulting characteristics is the formation of thermokarst lakes. Such lakes have attracted significant attention because of their ability to regulate carbon cycle, water, and energy fluxes. However, the distribution of thermokarst lakes in this area remains largely unknown, hindering our understanding of the response of permafrost and its carbon feedback to climate change.Based on more than 200 sentinel-2A images and combined with ArcGIS, NDWI and Google Earth Engine platform, this data set extracted the boundary of thermokarst lakes in permafrost regions of the Qinghai-Tibet Plateau through GEE automatic extraction and manual visual interpretation.In 2018, there were 121758 thermokarst lakes in the permafrost area of the Qinghai-Tibet Plateau, covering an area of 0.0004-0.5km2, with a total area of 1,730.34km respectively.The cataloging data set of Thermokarst Lakes provides basic data for water resources evaluation, permafrost degradation evaluation and thermal karst study on the Qinghai-Tibet Plateau.Name of Data        QTP_thermokarst_lake_2018.shpData description of  attribute items         GLAKE_ID: The coding of  thermokarst Lake        GL_Area: The area of  thermokarst lake (m2)        GL_Long: The longitude of center point of the  thermokarst lakes (°)        GL_Lati: The latitude of center point of the  thermokarst lakes (°)