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A Landsat-based vegetation trend product of the Tibetan Plateau for the time-period 1990–2018
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 t...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6544617/ https://www.ncbi.nlm.nih.gov/pubmed/31148554 http://dx.doi.org/10.1038/s41597-019-0075-9 |
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author | Fassnacht, Fabian Ewald Schiller, Christopher Kattenborn, Teja Zhao, Xinquan Qu, Jiapeng |
author_facet | Fassnacht, Fabian Ewald Schiller, Christopher Kattenborn, Teja Zhao, Xinquan Qu, Jiapeng |
author_sort | Fassnacht, Fabian Ewald |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6544617 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-65446172019-06-03 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 Sci Data Data Descriptor 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. Nature Publishing Group UK 2019-05-31 /pmc/articles/PMC6544617/ /pubmed/31148554 http://dx.doi.org/10.1038/s41597-019-0075-9 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor Fassnacht, Fabian Ewald Schiller, Christopher Kattenborn, Teja Zhao, Xinquan Qu, Jiapeng A Landsat-based vegetation trend product of the Tibetan Plateau for the time-period 1990–2018 |
title | A Landsat-based vegetation trend product of the Tibetan Plateau for the time-period 1990–2018 |
title_full | A Landsat-based vegetation trend product of the Tibetan Plateau for the time-period 1990–2018 |
title_fullStr | A Landsat-based vegetation trend product of the Tibetan Plateau for the time-period 1990–2018 |
title_full_unstemmed | A Landsat-based vegetation trend product of the Tibetan Plateau for the time-period 1990–2018 |
title_short | A Landsat-based vegetation trend product of the Tibetan Plateau for the time-period 1990–2018 |
title_sort | landsat-based vegetation trend product of the tibetan plateau for the time-period 1990–2018 |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6544617/ https://www.ncbi.nlm.nih.gov/pubmed/31148554 http://dx.doi.org/10.1038/s41597-019-0075-9 |
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