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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| Formato: | Online |
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| Idioma: | inglés |
| Publicado: |
MDPI - Multidisciplinary Digital Publishing Institute
2022
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| Subjects: | |
| Acceso en liña: | ONIX_20221117_9783036554969_102 |
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| _version_ | 1869515909042798592 |
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| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-93845 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-938452024-03-28T03:31:30Z Vegetation Dynamics Revealed by Remote Sensing and Its Feedback to Regional and Global Climate Wang, Xuejia Ou, Tinghai Zhang, Wenxin Ran, Youhua 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 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. 2022-11-17T16:27:32Z 2022-11-17T16:27:32Z 2022 book ONIX_20221117_9783036554969_102 9783036554969 9783036554952 https://directory.doabooks.org/handle/20.500.12854/93845 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/6274 https://mdpi.com/books/pdfview/book/6274 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-5496-9 10.3390/books978-3-0365-5496-9 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036554969 9783036554952 228 Basel open access |
| spellingShingle | 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 Vegetation Dynamics Revealed by Remote Sensing and Its Feedback to Regional and Global Climate |
| title | Vegetation Dynamics Revealed by Remote Sensing and Its Feedback to Regional and Global Climate |
| title_full | Vegetation Dynamics Revealed by Remote Sensing and Its Feedback to Regional and Global Climate |
| title_fullStr | Vegetation Dynamics Revealed by Remote Sensing and Its Feedback to Regional and Global Climate |
| title_full_unstemmed | Vegetation Dynamics Revealed by Remote Sensing and Its Feedback to Regional and Global Climate |
| title_short | Vegetation Dynamics Revealed by Remote Sensing and Its Feedback to Regional and Global Climate |
| title_sort | vegetation dynamics revealed by remote sensing and its feedback to regional and global climate |
| topic | 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 |
| topic_facet | 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 |
| url | ONIX_20221117_9783036554969_102 |