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Aeolian sand mapping dataset in the three special sand-damaged sections along the Qinghai-Tibet Railway


ZHANG Kecun1ZHANG Hao1QU Jianjun1WANG Junzhan1AN Zhishan1
1Key Laboratory of Desert and Desertification,Dunhuang Gobi and Desert Ecology and Environment Research Station,Northwest Institute of Eco-Environment and Resources,Chinese Academy of Sciences,Lanzhou730000,China

DOI:10.3974/geodb.2016.05.10.V1

Published:Aug.2016

Visitors:861       Data Files Downloaded:67      
Data Downloaded:528.81 MB      Citations:

Key Words:

Qinghai-Tibet Railway,Aeolian geomorphology,Cona Lake,Tuotuohe (Ulan Moron),Beiluhe,Arid Land Geography

Abstract:

The sandstorm is the most damaged disaster in the Qinghai-Tibet railway. Three most sand-damaged sections, Cona Lake, Tuotuohe (Ulan Moron) and Beiluhe, are even more critical. Based on the data integration between the filed surveying and QuickBird and Google Earth images, the Aeolian Sand Mapping was developed. The Aeolian sand mapping dataset is consisted of photos on the sand distribution in three special areas; seolian sand mapping data in Tuotuohe, Cona Lake and Beiluhe areas. The classification system of the agenda of the Aeolian sand mapping is consisted of two levels, 6 types in the first level and 18 types in the second level. The dataset is archived in the .shp and .jpg data formats with the data size of 7.98MB. The analysis paper was published in the Journal of Arid Land Geography, No.4, Vol. 38, 2015.

Foundation Item:

Ministry of Science and Technology of China(2012CB026105);National Natural Science Foundation of China(41371027)

Data Citation:

ZHANG Kecun,ZHANG Hao,QU Jianjun,WANG Junzhan,AN Zhishan.2016.Aeolian sand mapping dataset in the three special sand-damaged sections along the Qinghai-Tibet Railway ( AeolianQinghaiTibetRailway ) ,Global Change Research Data Publishing & Repository,DOI:10.3974/geodb.2016.05.10.V1

Data Product:

ID Data Name Data Size Operation
1 AeolianQinghaiTibetRailway.rar 8082.06kb 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