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Data Details

Elevation Classification Dataset of Kazakhstan

XIE Mengxia1WANG Fei1,2GE Wenyan1,2HAN Jianqiao1,2
1 Institute of Soil and Water Conservation,Northwest Agricultural and Forestry University,Yangling 712100,China2 Institute of Soil and Water Conservation,Ministry of Water Resources,Chinese Academy of Sciences,Yangling 712100,China


Published:Jan. 2021

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Key Words:



Elevation classification dataset of Kazakhstan was developed based on the ALOS Global Digital Surface Model "ALOS World 3D-30 m" (AW3D30) data. The elevation was divided into 18 types. Among them, the elevation below 500 m were divided into the following five types: <10 m, 10-50 m, 50-100 m, 100-200 m, 200-500 m. Those regions above 500 m were divided into one type for every 500 m, a total of 13 types. Then the area of each type was calculated. The dataset is archived in .tif, .xlsx and .shp data formats, and consists of 16 data files with data size of 10.3 GB (compressed to one single data file with 34.7 MB).

Foundation Item:

National Natural Science Foundation of China (41771558, 41807067)

Data Citation:

XIE Mengxia, WANG Fei, GE Wenyan, HAN Jianqiao. Elevation Classification Dataset of Kazakhstan[J/DB/OL]. Digital Journal of Global Change Data Repository, 2021.


[1] ALOS Global Digital Surface Model “ALOS World 3 D-30 m” (AW3D30) [DB/OL].
     [2] GADM data (version 3.6) [DB/OL],

Data Product:

ID Data Name Data Size Operation
1 KazakhstanEVC.rar 35576.92KB