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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Библиографические подробности
Формат:	Online
Язык:	английский
Опубликовано:	MDPI - Multidisciplinary Digital Publishing Institute 2022
Предметы:	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-ссылка:	ONIX_20221117_9783036556680_98
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Advances in Remote Sensing of Postfire Environmental Damage and Recovery Dynamics

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