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Advances in Remote Sensing of Postfire Environmental Damage and Recovery Dynamics

Understanding forest fire regimes involves characterizing spatial distribution, recurrence, intensity, seasonality, size, and severity. In recent years, knowledge of damage levels can be directly related to the environmental impact of fire and, at the same time, it is a valuable estimator of fire in...

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Gespeichert in:
Format: Online
Sprache:Englisch
Veröffentlicht: MDPI - Multidisciplinary Digital Publishing Institute 2022
Schlagworte:
arctic tundra fire
vegetation recovery
C- and L-band SAR
SAR backscatter
wildfire
Araucaria araucana
Landsat 8 OLI
normalized burn ratio
normalized difference vegetation index
char soil index
mid-infrared burned index
classification thresholds
transfer learning model
SSTCA
burn severity
forest fire
SVR
Landsat
Mediterranean
energy balance
evapotranspiration
land surface temperature
land surface albedo
dNBR
post-fire recovery
time series
LandTrendr
K-means
driving factors
pine forests
alpine treeline ecotone
repeat photography
monoplotting
lidar
fire
composite burn index
Tree canopy cover
RTM
Sentinel-2A
burned areas detection
shade fraction image
linear spectral mixing model
VIIRS
PROBA-V
Landsat-8 OLI
time-series
Google Earth Engine
NBR
random forest
fire history
support vector machine
fuzzy logic
wildland fire extent
wildland fire severity
small unmanned aircraft systems
landsat
mask region-based convolutional neural network
small unmanned aircraft system
canopy cover
tree mortality
ecological disturbance
ecosystem functioning
EFAs
fire severity
satellite image time-series
wildfires
prescribed burns
SAR
fire impact
radar burn ratio
post-fire restoration
change detection
UAS
structure-from-motion
California
forest structure
fire management
airborne laser scanner
ALS
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology
Online-Zugang:ONIX_20221117_9783036556680_98
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