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Título de Acceso Abierto
Vegetation Dynamics Revealed by Remote Sensing and Its Feedback to Regional and Global Climate
Resumen/Descripción – provisto por la editorial
No disponible.
Palabras clave – provistas por la editorial
Loess Plateau; China; normalized difference vegetation index (NDVI); spatial–temporal evolution; geographical detector model; driving forces; vegetation phenology; phenology trend; NDVI composites; time interpolation; net primary productivity (NPP); global warming; digital elevation model (DEM); uncertainty; forest disturbance; forest recovery; footprint information; LandTrendr spectral-temporal segmentation algorithm; upper Indus Valley; land surface albedo; MODIS; Qilian Mountains; spatiotemporal variation; snow cover; NDVI; carry-over effects; gross primary productivity; phenology; GOSIF; NIRv; FluxSat; vegetation dynamics; multiple time scales; extreme climate; correlation; Guangxi; heatwave; alpine vegetation; Tibetan Plateau; remote sensing; extreme climate events; influencing factors; spatial stratified heterogeneity; geographical detector method; dynamic vegetation; regional climate change; remote sensing products; n/a
Disponibilidad
| Institución detectada | Año de publicación | Navegá | Descargá | Solicitá |
|---|---|---|---|---|
| No requiere | Directory of Open access Books |
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Información
Tipo de recurso:
libros
ISBN electrónico
978-3-0365-5496-9
País de edición
Suiza
Información sobre derechos de publicación
Unless otherwise agreed, edited books (book as a whole) are labeled as u201cOpen Accessu201d and licensed by the respective authors in accordance with the Creative Commons Attribution (CC BY-NC-ND) license. The license allows users to download, copy, and build upon published work non-commercially, as long as the author and publisher are properly credited. If the material is transformed or built upon, the resulting work may not be distributed. The source of the published text must be identified and the DOI of the book should be given. Unless otherwise agreed, articles and monographs are labeled as u201cOpen Accessu201d and licensed by the respective authors in accordance with the Creative Commons Attribution (CC BY) license. The u201cOpen Accessu201d license allows unlimited distribution and reuse as long as appropriate credit is given to the original source and any changes made compared to the original are indicated. The source of the published text must be identified and the DOI of the article should be given.
