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240202 ||| eng |
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|a 9783036588827
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|a 9783036588834
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|a books978-3-0365-8883-4
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|a Fernández-García, Víctor
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| 245 |
0 |
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|a Remote Sensing in Forest Fire Monitoring and Post-fire Damage Analysis
|h Elektronische Ressource
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| 260 |
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|a Basel
|b MDPI - Multidisciplinary Digital Publishing Institute
|c 2023
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| 300 |
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|a 1 electronic resource (256 p.)
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| 653 |
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|a spectral indices
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| 653 |
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|a disturbance
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| 653 |
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|a Sentinel-2
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| 653 |
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|a wildfire fuel loadings
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| 653 |
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|a accuracy
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| 653 |
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|a live fuel moisture content
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| 653 |
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|a MESMA
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| 653 |
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|a wildfire regime
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| 653 |
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|a regression analysis
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| 653 |
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|a biomes
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| 653 |
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|a recovery
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| 653 |
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|a n/a
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| 653 |
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|a data augmentation
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| 653 |
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|a wildfire
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| 653 |
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|a post-fire forest recovery
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| 653 |
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|a spatial patterns
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| 653 |
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|a random forests
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| 653 |
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|a trends
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| 653 |
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|a airborne laser scanning
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| 653 |
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|a climate warming
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| 653 |
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|a decision support systems
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| 653 |
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|a transfer learning
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| 653 |
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|a PROSAIL
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| 653 |
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|a carbon
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| 653 |
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|a land cover type
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| 653 |
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|a image compositing
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| 653 |
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|a ordinary cokriging method
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| 653 |
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|a lidar remote sensing
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| 653 |
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|a post-fire severity
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| 653 |
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|a fractional vegetation cover
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| 653 |
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|a soil burn severity
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| 653 |
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|a elevation
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| 653 |
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|a initial fire assessment
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| 653 |
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|a orthogonal transformation
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| 653 |
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|a vegetation indices
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| 653 |
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|a wildfire response
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| 653 |
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|a sampling-based inventory data
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| 653 |
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|a convergence of evidence
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| 653 |
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|a burn severity
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| 653 |
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|a land surface temperature
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| 653 |
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|a accuracy assessment
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| 653 |
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|a Geography / bicssc
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| 653 |
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|a forest landscapes
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| 653 |
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|a Mediterranean ecosystems
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| 653 |
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|a biophysical drivers
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| 653 |
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|a fire perimeter
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| 653 |
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|a fire impact
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| 653 |
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|a fire severity
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| 653 |
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|a change detection
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| 653 |
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|a Research and information: general / bicssc
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| 653 |
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|a multilabel classification
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| 653 |
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|a geostationary satellite observations
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| 653 |
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|a MODIS
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| 653 |
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|a continents
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| 653 |
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|a vegetation phenology
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| 653 |
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|a peatland
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| 700 |
1 |
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|a Calvo, Leonor
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| 700 |
1 |
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|a Suarez-Seoane, Susana
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| 700 |
1 |
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|a Marcos, Elena
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b DOAB
|a Directory of Open Access Books
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| 500 |
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|a Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
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| 024 |
8 |
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|a 10.3390/books978-3-0365-8883-4
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| 856 |
4 |
2 |
|u https://directory.doabooks.org/handle/20.500.12854/128614
|z DOAB: description of the publication
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| 856 |
4 |
0 |
|u https://www.mdpi.com/books/pdfview/book/8066
|7 0
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 000
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| 520 |
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|a 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).
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