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Eco-regional Boundary Data of the Roof of the World


LIU Chuang1SHI Ruixiang1CHEN Wenbo2
1Institute of Geographical Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing,China2Department of Environmental Design and Governance,Keio University,Japan

DOI:10.3974/geodb.2014.01.01.V1

Published:Jun. 2014

Visitors:5628       Data Files Downloaded:902      
Data Downloaded:643.57 MB      Citations:

Key Words:

Roof of the World,Qinghai-Tibet Plateau,Hindu Kush Himalaya,Eco-region,Boundary data

Abstract:

The region of the Roof of the World is the highest region in the world, which covers the Qinghai Tibet Plateau, the Hengduan Mountains, the Himalaya Mountains, the Hindu Kush, and the Pamir Plateau of nine countries, including China, Burma, Nepal, Bhutan, Indian, Pakistan, Afghanistan, Tajikistan, and Kyrgyzstan. We have produced eco-regional boundary data both in Google Earth .kmz and Arc/Info shp formats, using scenarios of elevation more than 4000 meters above sea level, land slopes more than 7 degrees, and integrated with the remote sensing images. Our boundary around the region is 22,089 km, with the total area of the region being 4,000,947 km2. Each of the 40 geographical parts of the boundary is identified and coded.Browse

Foundation Item:

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

Data Citation:

LIU Chuang,SHI Ruixiang,CHEN Wenbo.2014.Eco-regional Boundary Data of the Roof of the World ( ROTWBND ) ,Global Change Research Data Publishing & Repository,DOI:10.3974/geodb.2014.01.01.V1

Data Product:

ID Data Name Data Size Operation
0Datapaper_ROTWBND.pdf14921.00kbDownLoad
1 ROTWBND.kmz 697.34kb DownLoad
2 ROTWBND.zip 1102.90kb DownLoad
3 ROTW_China.kmz 445.98kb DownLoad
4 ROTW_China.zip 748.69kb 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