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Remotely Sensed Dataset of Grassland Degradation on the Qinghai-Tibetan Plateau


WANG Liang1,2XU Xinliang1LIU Luo3,2
1Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences2Xinjiang Institute of Ecology and Geography,Chinese Academy of Sciences3University of the Chinese Academy of Sciences

DOI:10.3974/geodb.2014.01.11.V1

Published:Jun. 2014

Visitors:4555       Data Files Downloaded:464      
Data Downloaded:148.52 MB      Citations:

Key Words:

Qinghai-Tibetan Plateau,grassland degradation,remote sensing,spatial data

Abstract:

Remotely Sensed Dataset of Grassland Degradation on the Qinghai-Tibetan Plateau (GLD_Tibet) is a production based on a related research about spatiotemporal changes of grassland degradation on the Qinghai-Tibetan Plateau(QTP) over the periods of 1991-2000 and 2001-2012 using Sense’s slope and Mann-Kendall trend test. During the 1990s, more than half (53.41%) of the grassland on the QTP was in some degree of degradation, but after 2000, more than three-fourths (78.62%) of the grassland had improved. The dataset provide scientific evidence for monitoring, assessment, and restoration management of alpine grasslands on the QTP, as well as the sustainable development and management of other grassland ecosystems.Browse

Foundation Item:

Ministry of Science and Technology of China: 2013BAC03B01

Data Citation:

WANG Liang,XU Xinliang,LIU Luo.2014.Remotely Sensed Dataset of Grassland Degradation on the Qinghai-Tibetan Plateau ( GLD_Tibet ) ,Global Change Research Data Publishing & Repository,DOI:10.3974/geodb.2014.01.11.V1

Data Product:

ID Data Name Data Size Operation
0Datapaper_GLD_Tibet.pdf1449.00kbDownLoad
1 GLD_Tibet1.zip 37.49kb DownLoad
2 GLD_Tibet2.zip 918.43kb DownLoad
3 ReadMe.txt 0.93kb 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