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...

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Bibliographic Details
Other Authors: Wang, Xuejia (Editor), Ou, Tinghai (Editor), Zhang, Wenxin (Editor), Ran, Youhua (Editor)
Format: Electronic Book Chapter
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
Subjects:
Online Access:DOAB: download the publication
DOAB: description of the publication
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245 1 0 |a Vegetation Dynamics Revealed by Remote Sensing and Its Feedback to Regional and Global Climate 
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300 |a 1 electronic resource (228 p.) 
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506 0 |a Open Access  |2 star  |f Unrestricted online access 
520 |a 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. 
540 |a Creative Commons  |f https://creativecommons.org/licenses/by/4.0/  |2 cc  |4 https://creativecommons.org/licenses/by/4.0/ 
546 |a English 
650 7 |a Research & information: general  |2 bicssc 
650 7 |a Earth sciences, geography, environment, planning  |2 bicssc 
653 |a Loess Plateau 
653 |a China 
653 |a normalized difference vegetation index (NDVI) 
653 |a spatial-temporal evolution 
653 |a geographical detector model 
653 |a driving forces 
653 |a vegetation phenology 
653 |a phenology trend 
653 |a NDVI composites 
653 |a time interpolation 
653 |a net primary productivity (NPP) 
653 |a global warming 
653 |a digital elevation model (DEM) 
653 |a uncertainty 
653 |a forest disturbance 
653 |a forest recovery 
653 |a footprint information 
653 |a LandTrendr spectral-temporal segmentation algorithm 
653 |a upper Indus Valley 
653 |a land surface albedo 
653 |a MODIS 
653 |a Qilian Mountains 
653 |a spatiotemporal variation 
653 |a snow cover 
653 |a NDVI 
653 |a carry-over effects 
653 |a gross primary productivity 
653 |a phenology 
653 |a GOSIF 
653 |a NIRv 
653 |a FluxSat 
653 |a vegetation dynamics 
653 |a multiple time scales 
653 |a extreme climate 
653 |a correlation 
653 |a Guangxi 
653 |a heatwave 
653 |a alpine vegetation 
653 |a Tibetan Plateau 
653 |a remote sensing 
653 |a extreme climate events 
653 |a influencing factors 
653 |a spatial stratified heterogeneity 
653 |a geographical detector method 
653 |a dynamic vegetation 
653 |a regional climate change 
653 |a remote sensing products 
653 |a n/a 
856 4 0 |a www.oapen.org  |u https://mdpi.com/books/pdfview/book/6274  |7 0  |z DOAB: download the publication 
856 4 0 |a www.oapen.org  |u https://directory.doabooks.org/handle/20.500.12854/93845  |7 0  |z DOAB: description of the publication