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A Landsat-based vegetation trend product of the Tibetan Plateau for the time-period 1990-2018

Fassnacht, F. E. ORCID iD icon 1; Schiller, C. 1; Kattenborn, T. 1; Zhao, X.; Qu, J.
1 Institut für Geographie und Geoökologie (IFGG), Karlsruher Institut für Technologie (KIT)

Abstract:

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.


Verlagsausgabe §
DOI: 10.5445/IR/1000096227
Veröffentlicht am 12.07.2019
Originalveröffentlichung
DOI: 10.1038/s41597-019-0075-9
Scopus
Zitationen: 41
Web of Science
Zitationen: 39
Dimensions
Zitationen: 40
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Geographie und Geoökologie (IFGG)
KIT-Zentrum Klima und Umwelt (ZKU)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2019
Sprache Englisch
Identifikator ISSN: 2052-4436, 2052-4463
KITopen-ID: 1000096227
Erschienen in Scientific data
Verlag Nature Research
Band 6
Heft 1
Seiten Art. Nr.: 78
Vorab online veröffentlicht am 31.05.2019
Nachgewiesen in Dimensions
Web of Science
Scopus
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