Different approaches make comparing studies of burn severity challenging: a review of methods used to link remotely sensed data with the Composite Burn Index
The Composite Burn Index (CBI) is commonly linked to remotely sensed data to understand
spatial and temporal patterns of burn severity. However, a comprehensive understanding of …
spatial and temporal patterns of burn severity. However, a comprehensive understanding of …
Map** burn severity and monitoring CO content in Türkiye's 2021 Wildfires, using Sentinel-2 and Sentinel-5P satellite data on the GEE platform
This study investigated forest fires in the Mediterranean of Türkiye between July 28, 2021,
and August 11, 2021. Burn severity maps were produced with the difference normalised …
and August 11, 2021. Burn severity maps were produced with the difference normalised …
Evaluating the differenced normalized burn ratio for assessing fire severity using Sentinel-2 imagery in Northeast Siberian Larch Forests
Fire severity is a key fire regime characteristic with high ecological and carbon cycle
relevance. Prior studies on boreal forest fires primarily focused on map** severity in North …
relevance. Prior studies on boreal forest fires primarily focused on map** severity in North …
Integration of RUSLE model, remote sensing and GIS techniques for assessing soil erosion hazards in arid zones
Soil erosion constitutes one of the main environmental and food security threats, derived
from the loss of its productive capacity. With the help of remote sensing (RS), geographic …
from the loss of its productive capacity. With the help of remote sensing (RS), geographic …
Detecting burn severity across mediterranean forest types by coupling medium-spatial resolution satellite imagery and field data
In Mediterranean countries, in the year 2017, extensive surfaces of forests were damaged by
wildfires. In the Vesuvius National Park, multiple summer wildfires burned 88% of the …
wildfires. In the Vesuvius National Park, multiple summer wildfires burned 88% of the …
Caution is needed across Mediterranean ecosystems when interpreting wall-to-wall fire severity estimates based on spectral indices
The use of comprehensive, multi-strata fire severity metrics measured in the field, such as
the composite burn index (CBI), is the most commonly used approach to calibrate remote …
the composite burn index (CBI), is the most commonly used approach to calibrate remote …
Comparing Sentinel-2 and Landsat 8 for burn severity map** in Western North America
Accurate assessment of burn severity is a critical need for an improved understanding of fire
behavior and ecology and effective post-fire management. Although NASA Landsat …
behavior and ecology and effective post-fire management. Although NASA Landsat …
Predicting forest fire probability in Similipal Biosphere Reserve (India) using Sentinel-2 MSI data and machine learning
The global escalation in forest fires, characterized by increasing frequency and severity,
results from a complex interplay of natural and anthropogenic factors, exacerbated by …
results from a complex interplay of natural and anthropogenic factors, exacerbated by …
[HTML][HTML] Large-scale burn severity map** in multispectral imagery using deep semantic segmentation models
Nowadays Earth observation satellites provide forest fire authorities and resource managers
with spatial and comprehensive information for fire stabilization and recovery. Burn severity …
with spatial and comprehensive information for fire stabilization and recovery. Burn severity …
[HTML][HTML] Automatic map** of burned areas using Landsat 8 time-series images in Google Earth engine: A case study from Iran
H Gholamrezaie, M Hasanlou, M Amani… - Remote Sensing, 2022 - mdpi.com
Due to the natural conditions and inappropriate management responses, large part of plains
and forests in Iran have been burned in recent years. Given the increasing availability of …
and forests in Iran have been burned in recent years. Given the increasing availability of …