Vegetation Dynamics Revealed by Remote Sensing and Its Feedback to Regional and Global Climate

• Format: eBook
• Language: English
• Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
• Subjects: alpine vegetation; carry-over effects; China; correlation; digital elevation model (DEM); driving forces; dynamic vegetation; Earth Sciences, Geography, Environment, Planning; extreme climate; extreme climate events; FluxSat; footprint information; forest disturbance; forest recovery; geographical detector method; geographical detector model; global warming; GOSIF; gross primary productivity; Guangxi; heatwave; influencing factors; land surface albedo; LandTrendr spectral-temporal segmentation algorithm; Loess Plateau; MODIS; multiple time scales; n/a; NDVI; NDVI composites; net primary productivity (NPP); NIRv; normalized difference vegetation index (NDVI); phenology; phenology trend; Qilian Mountains; Reference, Information and Interdisciplinary subjects; regional climate change; remote sensing; remote sensing products; Research and information: general; snow cover; spatial stratified heterogeneity; spatial–temporal evolution; spatiotemporal variation; Tibetan Plateau; time interpolation; uncertainty; upper Indus Valley; vegetation dynamics; vegetation phenology
• ISBN: 9783036554952; 3036554955; 3036554963; 9783036554969
• DOI: 10.3390/books978-3-0365-5496-9

This book focuses on some significant progress in vegetation dynamics and their response to climate change revealed by remote sensing data. The development of satellite remote sensing and its derived products offer fantastic opportunities to investigate vegetation changes and their feedback to regional and global climate systems. Special attention is given in the book to vegetation changes and their drivers, the effects of extreme climate events on vegetation, land surface albedo associated with vegetation changes, plant fingerprints, and vegetation dynamics in climate modeling.