Modeling and Remote Sensing of Forests Ecosystem
The aim of this reprint is to explore the pivotal role of forests in the global carbon cycle and climate change mitigation, highlighting their significance as the largest terrestrial carbon pool. This reprint delves into advancements in time series monitoring of forests, particularly through remote...
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| 格式: | Online |
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| 語言: | 英语 |
| 出版: |
MDPI - Multidisciplinary Digital Publishing Institute
2025
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| 主題: | |
| 在線閱讀: | ONIX_20250812T095121_9783725833290_173 |
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| _version_ | 1869515139721461760 |
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| collection | Directory of Open Access Books |
| description | The aim of this reprint is to explore the pivotal role of forests in the global carbon cycle and climate change mitigation, highlighting their significance as the largest terrestrial carbon pool. This reprint delves into advancements in time series monitoring of forests, particularly through remote sensing technologies such as optical, synthetic aperture radar (SAR), LiDAR, and microwave sensors. These tools enable the global mapping and monitoring of forest trends with a high spatial resolution over extended periods. The topics covered include the impact of anthropogenic activities, climate extremes (e.g., droughts and wetness), and forest dynamics on ecosystem health, along with forest biomass and carbon monitoring. This reprint presents 12 insightful articles that showcase the latest research in the modeling and remote sensing of forest ecosystems. |
| format | Online |
| id | doab-20.500.12854ir-165224 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1652242025-08-12T08:14:09Z Modeling and Remote Sensing of Forests Ecosystem Wu, Jianping Chang, Zhongbing Xiong, Xin forests ecosystem remote sensing vegetation change climate change thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general The aim of this reprint is to explore the pivotal role of forests in the global carbon cycle and climate change mitigation, highlighting their significance as the largest terrestrial carbon pool. This reprint delves into advancements in time series monitoring of forests, particularly through remote sensing technologies such as optical, synthetic aperture radar (SAR), LiDAR, and microwave sensors. These tools enable the global mapping and monitoring of forest trends with a high spatial resolution over extended periods. The topics covered include the impact of anthropogenic activities, climate extremes (e.g., droughts and wetness), and forest dynamics on ecosystem health, along with forest biomass and carbon monitoring. This reprint presents 12 insightful articles that showcase the latest research in the modeling and remote sensing of forest ecosystems. 2025-08-12T08:14:06Z 2025-08-12T08:14:06Z 2025 book ONIX_20250812T095121_9783725833290_173 9783725833290 9783725833306 https://directory.doabooks.org/handle/20.500.12854/165224 eng image/jpeg Attribution 4.0 International https://mdpi.com/books https://mdpi.com/books/pdfview/book/10621 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-3330-6 10.3390/books978-3-7258-3330-6 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725833290 9783725833306 238 open access |
| spellingShingle | forests ecosystem remote sensing vegetation change climate change thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general Modeling and Remote Sensing of Forests Ecosystem |
| title | Modeling and Remote Sensing of Forests Ecosystem |
| title_full | Modeling and Remote Sensing of Forests Ecosystem |
| title_fullStr | Modeling and Remote Sensing of Forests Ecosystem |
| title_full_unstemmed | Modeling and Remote Sensing of Forests Ecosystem |
| title_short | Modeling and Remote Sensing of Forests Ecosystem |
| title_sort | modeling and remote sensing of forests ecosystem |
| topic | forests ecosystem remote sensing vegetation change climate change thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general |
| topic_facet | forests ecosystem remote sensing vegetation change climate change thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general |
| url | ONIX_20250812T095121_9783725833290_173 |