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Land Slope Cluster Dataset of the Eco-region of the Roof of the World


LIU Chuang1SHI Ruixiang1LV Tingting2CHEN Wenbo32ZHOU Xiang2WANG Zhengxing1
1 Institute of Geographical Sciences and Natural Resources Research,Chinese Academy of Sciences2 Institute of Remote Sensing and Digital Earth,Chinese Academy of Sciences

DOI:10.3974/geodb.2014.01.03.V1

Published:Jun. 2014

Visitors:8498       Data Files Downloaded:1619      
Data Downloaded:367592.27 MB      Citations:

Key Words:

Land Slope,Cluster,Qinghai-Tibet Plateau,Roof of the World,Eco-region,Acta Geographica Sinica

Abstract:

The land slope cluster data of the Eco-region of the Roof of the World(ROTWSLC)is the basic for ecosystem analysis of the region. It was derived from ASTER GDEM 2 with the cluster models in slope degree and slope percentage. 7 clusters of the land slope according to the degree and 6 clusters according the percentage were identified. The statistics of each cluster had been calculated. The data indicates that the total area of land which slope was equal and higher than 7° was 72.02% of the region and the area of land which slope was equal and higher than 10% was 77.05% of the region. The data in raster were break down into 475 tiles of each of two groups of clusters by 1°x1°.Browse

Foundation Item:

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

Data Citation:

LIU Chuang, SHI Ruixiang, LV Tingting, CHEN Wenbo3, ZHOU Xiang, WANG Zhengxing.Land Slope Cluster Dataset of the Eco-region of the Roof of the World[J/DB/OL]. Digital Journal of Global Change Data Repository, 2014. https://doi.org/10.3974/geodb.2014.01.03.V1.

LIU Chuang, SHI Ruixiang, LV Tingting, et al. Land slope cluster dataset of the eco-region of the Roof of the World [J]. Acta Geographica Sinica, 2014(Suppl.): 118-123.

Data Product:

SLDc:1-5(ID);SLPc:6-10(ID).
ID Data Name Data Size Operation
0Datapaper_ROTWSLC.pdf2353.00kbDownLoad
1 SLDc_1.zip 221752.89KB
2 SLDc_2.zip 203602.53KB
3 SLDc_3.zip 236446.33KB
4 SLDc_4.zip 272850.64KB
5 SLDc_5.zip 266686.93KB
6 SLPc_1.zip 207591.03KB
7 SLPc_2.zip 258619.23KB
8 SLPc_3.zip 227832.63KB
9 SLPc_4.zip 205920.61KB
10 SLPc_5.zip 225231.44KB
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