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Elevation Cluster Dataset Covering the Eco-region of the Roof of the World


LIU Chuang1SHI Ruixiang1LV Tingting2CHEN Wenbo3ZHOU Xiang2WANG Zhengxing1
1Institute of Geographical Sciences and Natural Resources Research,Chinese Academy of Sciences2Institute of Remote Sensing and Digital Earth,Chinese Academy of Sciences3Keio University,Japan

DOI:10.3974/geodb.2014.01.02.V1

Published:Jun. 2014

Visitors:3288       Data Files Downloaded:279      
Data Downloaded:25894.22 MB      Citations:

Key Words:

Roof of the World,Eco-region,DEM,Elevation,Data,Qinghai-Tibet Plateau,Hindu Kush Himalaya

Abstract:

This dataset, titled as Elevation Cluster Dataset covering the Eco-region of the Roof of the World (ROTWEVC for short), is 30-m Raster Data on land elevation classification in the Eco-region of the Roof of the World. 17 classes of land elevation levels are identified from less than 500 meters above sea level to more than 8000 meters. 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 4500-5000 meters above sea level is 910,860KM2 , which occupies 22.77% of the region; while the land above 4000 meters is 2,150,236 KM2, 53.75% of the region is located in this high area. The area with elevation less than 4000 meters is mainly distributed around area of plateau, where is the transition zone from low altitude plain to high altitude plateau. 475 datasets with 1 x 1 degree latitude and longitude, the total volume of the data is 249MB, compressed 194MB.Browse

Foundation Item:

Chinese Academy of Sciences(2010):INF0-115-C01-SDB3-02

Data Citation:

LIU Chuang,SHI Ruixiang,LV Tingting,CHEN Wenbo,ZHOU Xiang,WANG Zhengxing.2014.Elevation Cluster Dataset Covering the Eco-region of the Roof of the World ( ROTWEVC ) ,Global Change Research Data Publishing & Repository,DOI:10.3974/geodb.2014.01.02.V1

Data Product:

ID Data Name Data Size Operation
0Datapaper_ROTWEVC.pdf2435.00kbDownLoad
1 ROTWEVC.zip 199366.00kb 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