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

• Outros Autores: Wang, Xuejia (Editor), Ou, Tinghai (Editor), Zhang, Wenxin (Editor), Ran, Youhua (Editor)
• Formato: Recurso Electrónico Capítulo de Livro
• Idioma: inglês
• Publicado em: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
• Assuntos: Research & information: general; Earth sciences, geography, environment, planning; 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
• Acesso em linha: DOAB: download the publication; DOAB: description of the publication

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 regio...