Dataset List


Data Details

Elevation Classification Dataset of Aksu River Basin

GUI Dongwei1,2,3LI Bofei1,2ZHANG Siyuan1,2LIU Chuang4
1 State Key Laboratory of Desert and Oasis Ecology,Xinjiang Institute of Ecology and Geography,Chinese Academy of Sciences,Urumqi 830011,China2 Cele National Station of Observation and Research for Desert-Grassland Ecosystems,Cele 848300,China3 University of Chinese Academy of Sciences,Beijing 100049,China4 Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China


Published:May 2022

Visitors:4134       Data Files Downloaded:44      
Data Downloaded:135.02 MB      Citations:

Key Words:

Aksu River Basin,elevation,classification,Xinjiang Uygur Autonomous Region,data encyclopedia


Elevation classification dataset of Aksu River Basin was developed based on the Advanced Spaceborne Thermal Emission and Reflection Radiometer Global Digital Elevation Model version 3 in 30 m resolution (ASTER GDEM V3) data. The elevation was divided into 14 groups. Among them, the region below 1000 m was classified into one type; the regions above 1000 m were divided into 13 types for every 500 m. Then the area of each type was calculated. The results show that the region with an altitude of 1000-4000 m accounts for 84.77% of the basin area. The dataset is archived in .tif data format, and consists of 7 data files with data size of 1.18 GB (compressed to one single data file with 3.06 MB).

Foundation Item:

Xinjiang Uygur Autonomous Region (2020D14042); Chinese Academy of Sciences (2019);

Data Citation:

GUI Dongwei, LI Bofei, ZHANG Siyuan, LIU Chuang. Elevation Classification Dataset of Aksu River Basin[J/DB/OL]. Digital Journal of Global Change Data Repository, 2022.


[1] NASA/METI/AIST/Japan Spacesystems, and U.S./Japan ASTER Science Team. ASTER Global Digital Elevation Model V003 [DB/OL]. Distributed by NASA EOSDIS Land Processes DAAC.2018.
     [2] Gui, D. W., Wang, G. Y., Li, B. F., et al. Aksu River Basin and river system [J/DB/OL]. Digital Journal of Global Change Data Repository, 2021.

Data Product:

ID Data Name Data Size Operation
1 ELVC_AKSU.rar 3142.18KB