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A Landsat-based vegetation trend product of the Tibetan Plateau for the time-period 1990-2018
- Source :
- Scientific Data, Vol 6, Iss 1, Pp 1-11 (2019), Scientific Data, Scientific data, 6 (1), Art. Nr.: 78
- Publication Year :
- 2019
- Publisher :
- Karlsruhe, 2019.
-
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.<br />Design Type(s)modeling and simulation objective • data transformation objective • time series designMeasurement Type(s)vegetation layerTechnology Type(s)computational modeling techniqueFactor Type(s)geographic location • temporal_intervalSample Characteristic(s)Tibetan Plateau • plateau Machine-accessible metadata file describing the reported data (ISA-Tab format)
- Subjects :
- Satellite Imagery
Grassland ecology
Statistics and Probability
Data Descriptor
Restoration ecology
010504 meteorology & atmospheric sciences
Geography & travel
Climate Change
Climate change
Library and Information Sciences
Tibet
01 natural sciences
Normalized Difference Vegetation Index
Education
03 medical and health sciences
Satellite imagery
Ecosystem
lcsh:Science
ddc:910
030304 developmental biology
0105 earth and related environmental sciences
0303 health sciences
geography
Plateau
geography.geographical_feature_category
Vegetation
Plants
Computer Science Applications
Trend analysis
Environmental science
lcsh:Q
Physical geography
Statistics, Probability and Uncertainty
Rangeland
Information Systems
Subjects
Details
- Language :
- English
- ISSN :
- 20524463
- Database :
- OpenAIRE
- Journal :
- Scientific Data, Vol 6, Iss 1, Pp 1-11 (2019), Scientific Data, Scientific data, 6 (1), Art. Nr.: 78
- Accession number :
- edsair.doi.dedup.....a7ad9b6985a77d377c996621aede923a
- Full Text :
- https://doi.org/10.5445/ir/1000096227