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Elevation Cluster Dataset Covering the Weihe River Basin


ZHA Fengli1LIU Chuang1SHI Ruixiang1
1 Institute of Geographical Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing100101,China

DOI:10.3974/geodb.2016.03.20.V1

Published:Jun. 2016

Visitors:4908       Data Files Downloaded:332      
Data Downloaded:1473.84 MB      Citations:

Key Words:

Weihe River,Basin,Elevation,Cluster,ASTER-DEM

Abstract:

Elevation Cluster Dataset Covering the Weihe River Basin (WeiheBasinEVC for short) is a 30-m resolution raster data on land elevation classification in the Weihe River Basin. 8 classes of land elevation clusters are identified from less than 500 meters above sea level to 3934 meters in the Mt. Qinling. The dataset is developed based on ASTER GDEM 2 and integrated partly with SRTM where the former data is not available. By statistics, the land located between 1000-1500 meters above sea level is 56018.21km2 , which occupies 41.58% of the region; the land located between 1500-2000 meters above sea level is 37999.48 km2 , which occupies 28.20% of the region; The area with elevation more than 3500m in the Qinling Mountain only occupies 0.01% of the region. The dataset is archived in tiff format with the compressed data size of 4.43MB.

Foundation Item:

Foundation: Chinese Academy of Sciences (Y22Q0203TD)

Data Citation:

ZHA Fengli, LIU Chuang, SHI Ruixiang.Elevation Cluster Dataset Covering the Weihe River Basin[J/DB/OL]. Digital Journal of Global Change Data Repository, 2016. https://doi.org/10.3974/geodb.2016.03.20.V1.

Data Product:

ID Data Name Data Size Operation
1 WeiheBasinEVC.rar 4545.81KB
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