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Summer Time Series of Larger Than 50km2 Lakes Change Dataset at Tibetan Plateau


LV Li1ZHANG Tingbin2YI Guihua3MIAO Jiaqing4LI Jingji5BIE Xiaojuan1HUANG Xianglin1
1College of Earth Science,Chengdu University of Technology,Chengdu 610059,China2The Engineering and Technical College,Chengdu University of Technology,Leshan 614000,China3College of Management Science,Chengdu University of Technology,Chengdu 610059,China4Department of Geophysical Engineering,Montana Tech of the University of Montana,Butte,MT 59801,USA5College of Environmental and Civil Engineering InstituteChengdu University of Technology,Chengdu 610059,China

DOI:10.3974/geodb.2019.05.04.V1

Published:Sep. 2019

Visitors:536       Data Files Downloaded:38      
Data Downloaded:148.34 MB      Citations:

Key Words:

Tibetan Plateau,lake area,MODIS,Journal of Lake Science

Abstract:

Based on MODIS MOD09A1 and SRTM DEM data products, each of the lake boundaries at Tibetan Plateau (2000-2016) were developed, where the water surface area was larger than 50 km² in high flow period (from July to September). There are more than 100 lakes (the lakes number are different in different year) such as Qinghai Lake, Nam Co, Selin Co, Gyaring Lake, Bangong Co. The dataset was archived in .shp data format with the spatial resolution of 500 m. The location and area of each lake are recorded in the attribute data. The dataset was composed of 357 data files with data size of 16.9 MB (Compressed to one data file with 3.90 MB). The analysis paper based on the dataset was published in the Journal of Lake Sciences, Vol.31, No.2, 2019.

Foundation Item:

Sichuan Province (18ZA0042); National Natural Science Foundation of China (41801099).

Data Citation:

LV Li,ZHANG Tingbin,YI Guihua,MIAO Jiaqing,LI Jingji,BIE Xiaojuan,HUANG Xianglin.Summer Time Series of Larger Than 50km2 Lakes Change Dataset at Tibetan Plateau[DB/OL].Global Change Research Data Publishing & Repository,2019.DOI:10.3974/geodb.2019.05.04.V1.

Data Product:

ID Data Name Data Size Operation
1 LakeTP_2000-2016.rar 3997.48KB DownLoad
Co-Sponsors

Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences

The Geographical Society of China

Parteners

Committee on Data for Science and Technology (CODATA) Task Group on Preservation of and Access to Scientific and Technical Data in/for/with Developing Countries (PASTD)

Jomo Kenyatta University of Agriculture and Technology

Digital Linchao GeoMuseum