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

WANG Liang1,2XU Xinliang1LIU Luo2,3
1Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences2University of Chinese Academy of Sciences3Xinjiang Institute of Ecology and Geography,Chinese Academy of Sciences


Published:Jun. 2014

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Key Words:

Qinghai-Tibetan Plateau,grassland degradation,remote sensing,spatial data,Acta Geographica Sinica


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.Remotely Sensed Dataset of Grassland Degradation on the Qinghai-Tibetan Plateau[DB/OL].Global Change Data Repository,2014.DOI:10.3974/geodb.2014.01.11.V1.

WANG Liang, XU Xinliang, LIU Luo. Remotely sensed dataset of grassland degradation on the Qinghai-Tibet Plateau. Acta Geographica Sinica, 2014, 69(Suppl.): 159-163.

Data Product:

ID Data Name Data Size Operation
1 37.49KB
2 918.43KB
3 ReadMe.txt 0.93KB