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Elevation Cluster Dataset Covering Henan Province of China


HUANG Yabo1LIAO Shunbao*1,2
1College of Environment and Planning,Henan University,Kaifeng 475004,China2Institute of Disaster Prevention,Beijing 101601,China

DOI:10.3974/geodb.2017.03.11.V1

Published:Sep. 2017

Visitors:5285       Data Files Downloaded:166      
Data Downloaded:235.48 MB      Citations:

Key Words:

Henan Province,elevation classification,SRTM DEM,cluster,Geographical Research

Abstract:

Elevation Cluster Dataset Covering Henan Province of China (HenanEVC) is a set of raster data on elevation classification. The HenanEVC was developed based on the SRTM DEM 90m, Google Earth elevation data and boundary data of Henan Province. The data processing procedure includes data mosaic, data mask, data projection transformation and data revision, etc. Elevation data covering Henan province was divided into 8 levels, they are <50 m, 50-100 m, 100-200 m, 200-500 m, 500-1000 m, 1000-1500 m, 1500-2000 m and >2000 m. The result shows that the area of the plains, elevation less than 200 m, is 67.63% of the total; the hill is 16.89% with elevation of 200-500 m; while the area of mountains, over 500 m, is 15.48%. The dataset was archived in .tif and .xlsx formats with the compressed data size of 28.8MB. This dataset can be reused as the fundamental data for natural resources, environment and ecosystem analytics.

Foundation Item:

Ministry of Science and Technology of the P.R. China (2012FY111800); Henan Province Grant (16A520081); Chinese Academy of Sciences (XDA05050000)

Data Citation:

HUANG Yabo,LIAO Shunbao*.Elevation Cluster Dataset Covering Henan Province of China[DB/OL].Global Change Research Data Publishing & Repository,2017.DOI:10.3974/geodb.2017.03.11.V1.

Huang, Y. B., Liao, S. B. Elevation cluster dataset covering Henan province, China [J]. Journal of Global Change Data & Discovery, 2017, 1(3): 364-367. DOI: 10.3974/geodp.2017.03.17.

Data Product:

ID Data Name Data Size Operation
1 HenanEVC.rar 1452.61kb 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