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Phenology Dataset of Vegetation in the Qinghai-Tibet Plateau (2001-2016)

XIA Jie1YI Guihua2ZHANG Tingbin1ZHOU Xiaobing3BIE Xiaojuan2
1College of Earth Science,Chengdu University of Technology,Chengdu 610059,China2College of Tourism and Urban-Rural Planning,Chengdu University of Technology,Chengdu 610059,China3Geophysical Engineering Department,Montana Tech of the University of Montana,MT 59701,USA


Published:Jul. 2020

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Data Downloaded:31702.42 MB      Citations:

Key Words:

phenology,dynamic threshold,MODIS,Qinghai-Tibet Plateau,Journal of Applied Remote Sensing


Based on the MOD09A1 product on the Qinghai-Tibet Plateau (QTP), enhanced vegetation index (EVI) was calculated, and the time series EVI of the growing season from 2001 to 2016 was reconstructed using the double logistic function filter. A dynamic threshold method was used to extract the vegetation phenological (SOG, Start of growth season; EOG, End of growth season; LOG, Long of growth season). The threshold value of the rejuvenation period was set at 10% of the left side of the annual EVI curve, and the yellow period was set at 50% of the right side of the annual EVI curve. Then the phenology dataset of vegetation in the Qinghai-Tibet Plateau (2001-2016) was developed. The dataset is archived in .tif format with a spatial resolution of 500m. The dataset consists of 272 data files with a data size of 375 MB (compressed to one single file with 360 MB). The analysis paper based on the dataset was published at Journal of Applied Remote Sensing, Vol. 13, No. 4, 2019.

Foundation Item:

National Natural Science Foundation of China (41801099); Ministry of Science and Technology of P. R. China (2019QZKK0307)

Data Citation:

XIA Jie,YI Guihua,ZHANG Tingbin,ZHOU Xiaobing,BIE Xiaojuan.Phenology Dataset of Vegetation in the Qinghai-Tibet Plateau (2001-2016)[DB/J].Global Change Data Repository,2020.DOI:10.3974/geodb.2020.04.01.V1.

Data Product:

ID Data Name Data Size Operation
1 PhenologyTP_2001-2016.rar 368900.90KB

Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences

The Geographical Society of China


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