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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...

Szczegółowa specyfikacja

Zapisane w:
Format: Online
Język:angielski
Wydane: MDPI - Multidisciplinary Digital Publishing Institute 2023
Hasła przedmiotowe:
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
Dostęp online:ONIX_20231130_9783036588827_66
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Streszczenie: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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