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Monitoring and Sensitivity Analysis Dataset of Debris Flow in the Upper Min River (2005-2013)


DING Mingtao1WANG Jun1
1School of Environment and Resource,Southwest University of Science and Technology,Mianyang 621010,China

DOI:10.3974/geodb.2016.07.17.V1

Published:Oct. 2016

Visitors:686       Data Files Downloaded:235      
Data Downloaded:18176.41 MB      Citations:

Key Words:

debris flow,land use,sensitivity analysis,Upper Min River,Journal of Mountain Research

Abstract:

The Upper Min River, which is located in the mountain and ravine region on the east margin of the Qinghai-Tibetan Plateau, is an ecologically fragile area with high-frequency disasters (landslides, debris flows, etc.), in which many minority groups are living. With the data integration among the remote sensing and GIS data, as well as the local field surveying data, the Monitoring and Sensitivity Analysis Dataset of Debris Flow in the Upper Min River (2005-2013) was developed.. This dataset includes: (1) debris flow disaster event data in the Upper Min River in 2013; (2) Land slope classification data; (3) Land use data in 2005, 2009 and 2013 (arable land, forest, grass land, bare land, urban and rural construction land, glaciers and water bodies); (4) sensitivity analysis data of debris flow in the Upper Min River. The dataset is archived in .shp, .grid, and .kmz formats with the compressed data size of 90MB. The analysis paper was published in the Journal of Mountain Research, No. 5, Vol. 33, 2015.

Foundation Item:

National Natural Science Foundation of China (41371185; 41101164); Sichuan Province (2013HH0057; 2010SZ0308; 13ZA0160).

Data Citation:

DING Mingtao,WANG Jun.2016.Monitoring and Sensitivity Analysis Dataset of Debris Flow in the Upper Min River (2005-2013) ( DebrisFlowUpperMinRiver_2005-2013 ) ,Global Change Research Data Publishing & Repository,DOI:10.3974/geodb.2016.07.17.V1

Data Product:

ID Data Name Data Size Operation
1 DebrisFlowUpperMinRiver2013.kmz 11.86kb DownLoad
2 DebrisFlowUpperMinRiver_2005-2013.rar 92139.85kb 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

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