Remote Sensing in Forest Fire Monitoring and Post-fire Damage Analysis
More than half of the land surface on Earth can burn, and thus, fires are one of the most significant disturbances worldwide. Fires affecting forests are of great interest owing to the impacts they have on multiple provisioning and regulating ecosystem services. In this context, in which large porti...
Sábháilte in:
| Formáid: | Online |
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| Teanga: | Béarla |
| Foilsithe / Cruthaithe: |
MDPI - Multidisciplinary Digital Publishing Institute
2023
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| Ábhair: | |
| Rochtain ar líne: | ONIX_20231130_9783036588827_66 |
| Clibeanna: |
Níl clibeanna ann, Bí ar an gcéad duine le clib a chur leis an taifead seo!
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| _version_ | 1869524918141452288 |
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| collection | Directory of Open Access Books |
| description | More than half of the land surface on Earth can burn, and thus, fires are one of the most significant disturbances worldwide. Fires affecting forests are of great interest owing to the impacts they have on multiple provisioning and regulating ecosystem services. In this context, in which large portions of the Earth are affected by forest fires, remote sensing tools are essential equipment in fire-related assessments at multiple stages, including (I) the characterization of fire drivers and the development of predictive models, (II) the assessment of burned area, (III) the impact of the fire on soil and vegetation, and (IV) the post-fire recovery monitoring. In this reprint, we have compiled 10 research articles addressing these four topics and employing a wide variety of methodologies and remote sensing platforms (MSG, MODIS, Landsat, Sentinel-2 or airborne LiDAR). |
| format | Online |
| id | doab-20.500.12854ir-128614 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1286142024-03-28T03:31:36Z Remote Sensing in Forest Fire Monitoring and Post-fire Damage Analysis Fernández-García, Víctor Calvo, Leonor Suarez-Seoane, Susana Marcos, Elena wildfire fuel loadings sampling-based inventory data ordinary cokriging method regression analysis lidar remote sensing Mediterranean ecosystems convergence of evidence accuracy assessment wildfire response multilabel classification data augmentation decision support systems transfer learning geostationary satellite observations wildfire regime biophysical drivers land surface temperature land cover type trends Sentinel-2 post-fire severity initial fire assessment soil burn severity fire perimeter image compositing vegetation phenology live fuel moisture content wildfire MODIS spectral indices random forests elevation airborne laser scanning peatland carbon accuracy change detection disturbance fractional vegetation cover MESMA PROSAIL recovery fire impact post-fire forest recovery forest landscapes vegetation indices orthogonal transformation fire severity burn severity spatial patterns biomes continents climate warming n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography More than half of the land surface on Earth can burn, and thus, fires are one of the most significant disturbances worldwide. Fires affecting forests are of great interest owing to the impacts they have on multiple provisioning and regulating ecosystem services. In this context, in which large portions of the Earth are affected by forest fires, remote sensing tools are essential equipment in fire-related assessments at multiple stages, including (I) the characterization of fire drivers and the development of predictive models, (II) the assessment of burned area, (III) the impact of the fire on soil and vegetation, and (IV) the post-fire recovery monitoring. In this reprint, we have compiled 10 research articles addressing these four topics and employing a wide variety of methodologies and remote sensing platforms (MSG, MODIS, Landsat, Sentinel-2 or airborne LiDAR). 2023-11-30T20:36:25Z 2023-11-30T20:36:25Z 2023 book ONIX_20231130_9783036588827_66 9783036588827 9783036588834 https://directory.doabooks.org/handle/20.500.12854/128614 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/8066 https://mdpi.com/books/pdfview/book/8066 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-8883-4 10.3390/books978-3-0365-8883-4 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036588827 9783036588834 256 Basel open access |
| spellingShingle | wildfire fuel loadings sampling-based inventory data ordinary cokriging method regression analysis lidar remote sensing Mediterranean ecosystems convergence of evidence accuracy assessment wildfire response multilabel classification data augmentation decision support systems transfer learning geostationary satellite observations wildfire regime biophysical drivers land surface temperature land cover type trends Sentinel-2 post-fire severity initial fire assessment soil burn severity fire perimeter image compositing vegetation phenology live fuel moisture content wildfire MODIS spectral indices random forests elevation airborne laser scanning peatland carbon accuracy change detection disturbance fractional vegetation cover MESMA PROSAIL recovery fire impact post-fire forest recovery forest landscapes vegetation indices orthogonal transformation fire severity burn severity spatial patterns biomes continents climate warming n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography Remote Sensing in Forest Fire Monitoring and Post-fire Damage Analysis |
| title | Remote Sensing in Forest Fire Monitoring and Post-fire Damage Analysis |
| title_full | Remote Sensing in Forest Fire Monitoring and Post-fire Damage Analysis |
| title_fullStr | Remote Sensing in Forest Fire Monitoring and Post-fire Damage Analysis |
| title_full_unstemmed | Remote Sensing in Forest Fire Monitoring and Post-fire Damage Analysis |
| title_short | Remote Sensing in Forest Fire Monitoring and Post-fire Damage Analysis |
| title_sort | remote sensing in forest fire monitoring and post fire damage analysis |
| topic | wildfire fuel loadings sampling-based inventory data ordinary cokriging method regression analysis lidar remote sensing Mediterranean ecosystems convergence of evidence accuracy assessment wildfire response multilabel classification data augmentation decision support systems transfer learning geostationary satellite observations wildfire regime biophysical drivers land surface temperature land cover type trends Sentinel-2 post-fire severity initial fire assessment soil burn severity fire perimeter image compositing vegetation phenology live fuel moisture content wildfire MODIS spectral indices random forests elevation airborne laser scanning peatland carbon accuracy change detection disturbance fractional vegetation cover MESMA PROSAIL recovery fire impact post-fire forest recovery forest landscapes vegetation indices orthogonal transformation fire severity burn severity spatial patterns biomes continents climate warming n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography |
| topic_facet | wildfire fuel loadings sampling-based inventory data ordinary cokriging method regression analysis lidar remote sensing Mediterranean ecosystems convergence of evidence accuracy assessment wildfire response multilabel classification data augmentation decision support systems transfer learning geostationary satellite observations wildfire regime biophysical drivers land surface temperature land cover type trends Sentinel-2 post-fire severity initial fire assessment soil burn severity fire perimeter image compositing vegetation phenology live fuel moisture content wildfire MODIS spectral indices random forests elevation airborne laser scanning peatland carbon accuracy change detection disturbance fractional vegetation cover MESMA PROSAIL recovery fire impact post-fire forest recovery forest landscapes vegetation indices orthogonal transformation fire severity burn severity spatial patterns biomes continents climate warming n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography |
| url | ONIX_20231130_9783036588827_66 |