Monthly NDVI and Climate Dataset for Alpine Meadow and Alpine Steppe on the Tibetan Plateau (1982-2015)
HAO Aihua1 XUE Xian*2 DUAN Hanchen2 PENG Fei2 YOU Quangang2
1 Department of Geography，Xinzhou Normal University，Xinzhou 034000，Shanxi Province，China2 Key Laboratory of Desert and Desertification，Northwest Institute of Eco-Environment and Resources，Chinese Academy of Sciences，Lanzhou 730000，China
DOI:10.3974/geodb.2024.02.05.V1
Published:Feb. 2024
Visitors：622 Data Files Downloaded：31
Data Downloaded：3177.75 MB Citations：
Key Words：
Qinghai-Tibetan Plateau,Alpine meadow,Alpine steppe,NDVI
Abstract：
The authors firstly synthesized the maximum value of the third generation of GIMMS Normalized Vegetation Index (NDVI3g) product to obtain the monthly maximum NDVI value. Secondly, the TIMESAT software package in MATLAB was used for Savitzky-Golay filtering processing, the data was reconstructed, and the non-vegetation (NDVI<0) area was removed. Cubic convolution interpolation was used to resample the spatial resolution of air temperature, precipitation, and solar radiation data of China's regional ground meteorological drive dataset. Lastly, the NDVI data for alpine meadow (AM) and alpine steppe (AS) on the Tibetan Plateau from 1982 to 2015 were extracted using the vector boundary provided by the 1:100,000 Vegetation Atlas of China from the Chinese Academy of Sciences. The dataset includes: (1) monthly NDVI (AM_NDVI), temperature (AM_temp), precipitation (AM_prec), and solar radiation (AM_solar) for AM on the Tibetan Plateau from 1982 to 2015; (2) monthly NDVI (AS_NDVI), temperature (AS_temp), precipitation (AS_prec), and solar radiation (AS_solar) for AS on the Tibetan Plateau from 1982 to 2015. All data has a spatial resolution of 1/12° x 1/12° and is stored in floating-point format. The unit of temperature is ℃, the unit of precipitation is mm, and the unit of solar radiation is 103 W m-2. The dataset is archived in .tif format, and consists of 11,424 data files with data size of 1.26 GB (compressed into 1 file with 102 MB). The analysis paper based on the dataset was published at Acta Ecologica Sinica, Vol. 43, No. 1, 2023.
Foundation Item：
Ministry of Science and Technology of P. R. China (2019QZKK0305); National Natural Science Foundation of China (41771233)
Data Citation：
HAO Aihua, XUE Xian*, DUAN Hanchen, PENG Fei, YOU Quangang.Monthly NDVI and Climate Dataset for Alpine Meadow and Alpine Steppe on the Tibetan Plateau (1982-2015)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2024. https://doi.org/10.3974/geodb.2024.02.05.V1.
References：
[1] Zhang, Y. Integration dataset of Tibet Plateau boundary [M]. National Tibetan Plateau / Third Pole Environment Data Center, 2019.
[2] Editorial Committee of Vegetation Map of Chinese Academy of Sciences. 1: 1000000 Vegetation Atlas of China [M]. Beijing: Science Press, 2001．
[3] Yang, K., He, J., Tang, W. J., et al. China meteorological forcing dataset (1979-2018) [J/DB/OL]. National Tibetan Plateau / Third Pole Environment Data Center, 2019．
[4] Hao, A. H., Duan, H. C., Wang, X. F., et al. Different response of alpine meadow and alpine steppe to climatic and anthropogenic disturbance on the Qinghai-Tibetan Plateau[J]. Global Ecology and Conservation, 2021, 27: e01512.
[5] Duan, H. C., Xue, X., Wang, T., et al. Spatial and temporal differences in alpine meadow, alpine steppe and all vegetation of the Qinghai-Tibetan Plateau and their responses to climate change[J]．Remote Sensing, 2021, 13(4): 669.
Data Product:
| ID |
Data Name |
Data Size |
Operation |
| 1 |
AlpineMeadow&Steppe_NDVI&MET.rar |
104968.20KB |
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