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

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...

詳細記述

保存先:
フォーマット: Online
言語:英語
出版事項: MDPI - Multidisciplinary Digital Publishing Institute 2022
主題:
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
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
thema EDItEUR::R Earth Sciences, Geography, Environment, Planning
オンライン･アクセス:ONIX_20221117_9783036554969_102
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