A Landsat-based vegetation trend product of the Tibetan Plateau for the time-period 1990-2018 | |
Fassnacht, Fabian Ewald; Schiller, Christopher; Kattenborn, Teja; Zhao, Xinquan; Qu, Jiapeng | |
刊名 | SCIENTIFIC DATA |
2019 | |
卷号 | 6 |
英文摘要 | The Tibetan Plateau is a unique, biodiverse ecosystem with an important role in the climate and hydrological system of Asia. Its vegetation supports important functions including fodder provision, erosion prevention and water retention. Assessing vegetation trends of the Tibetan Plateau is crucial to understand effects of recent climate and land-use changes. Most existing vegetation trend products covering the entire Tibetan Plateau have a coarse spatial grain and cover short temporal ranges. This hampers their applicability in studies conducted at local scales where land-use decisions take place and at time scales where climate changes become apparent. Here, we present vegetation trend products for the entire Tibetan Plateau at a spatial resolution of 30 m for the time period 1990-2018. These products include results of a modified Mann-Kendall trend test applied to annual Landsat-based NDVI mosaics, composed from all satellite observations acquired during the vegetation periods as well as NDVI difference images. These data can be valuable to many researchers including for example wildlife ecologists, rangeland experts and climate change researchers. |
内容类型 | 期刊论文 |
源URL | [http://210.75.249.4/handle/363003/59786] |
专题 | 西北高原生物研究所_中国科学院西北高原生物研究所 |
推荐引用方式 GB/T 7714 | Fassnacht, Fabian Ewald,Schiller, Christopher,Kattenborn, Teja,et al. A Landsat-based vegetation trend product of the Tibetan Plateau for the time-period 1990-2018[J]. SCIENTIFIC DATA,2019,6. |
APA | Fassnacht, Fabian Ewald,Schiller, Christopher,Kattenborn, Teja,Zhao, Xinquan,&Qu, Jiapeng.(2019).A Landsat-based vegetation trend product of the Tibetan Plateau for the time-period 1990-2018.SCIENTIFIC DATA,6. |
MLA | Fassnacht, Fabian Ewald,et al."A Landsat-based vegetation trend product of the Tibetan Plateau for the time-period 1990-2018".SCIENTIFIC DATA 6(2019). |
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