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Elevation Classification Dataset of Uzbekistan


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

DOI:10.3974/geodb.2021.01.13.V1

Published:Jan. 2021

Visitors:1824       Data Files Downloaded:24      
Data Downloaded:173.86 MB      Citations:

Key Words:

Uzbekistan,elevation,classification,area,ALOS

Abstract:

The elevation classification dataset of Uzbekistanwas developed based on the ALOS Global Digital Surface Model "ALOS World 3D-30m" (AW3D30). The elevation was divided into 16 types. They are: <10 m, 10-50 m, 50-100 m, 100-200 m, 200-500 m and 11 types which are above 500 m asl. Each of the 11 types was identified by 500 m steps. The dataset is archived in .tif, .xlsx and .shp data formats, and consists of 15 data files with data size of 2.44 GB (compressed to one single data file with 7.24 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 Uzbekistan[J/DB/OL]. Digital Journal of Global Change Data Repository, 2021. https://doi.org/10.3974/geodb.2021.01.13.V1.

References:

[1] ALOS Global Digital Surface Model “ALOS World 3 D-30 m” (AW3D30) [DB/OL]. https://www.eorc.jaxa.jp/ALOS/en/aw3d30/data/index.htm.
     [2] GADM data (version 3.6) [DB/OL], https://gadm.org/download_country_v3.html.
     

Data Product:

ID Data Name Data Size Operation
1 UzbekistanEVC.rar 7418.12KB
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