Satellite remote sensing contributions to wildland fire science and management
Purpose This paper reviews the most recent literature related to the use of remote sensing
(RS) data in wildland fire management. Recent Findings Studies dealing with pre-fire …
(RS) data in wildland fire management. Recent Findings Studies dealing with pre-fire …
[HTML][HTML] Remote sensing techniques to assess post-fire vegetation recovery
F Pérez-Cabello, R Montorio, DB Alves - Current Opinion in Environmental …, 2021 - Elsevier
Wildfires substantially disrupt and reshape the structure, composition and functioning of
ecosystems. Monitoring post-fire recovery dynamics is crucial for evaluating resilience and …
ecosystems. Monitoring post-fire recovery dynamics is crucial for evaluating resilience and …
Biogeographic variability in wildfire severity and post-fire vegetation recovery across the European forests via remote sensing-derived spectral metrics
Wildfires have large-scale and profound effects on forest ecosystems, and they force burned
forest areas toward a wide range of post-fire successional trajectories from simple reduction …
forest areas toward a wide range of post-fire successional trajectories from simple reduction …
[HTML][HTML] Quantifying post-fire shifts in woody-vegetation cover composition in Mediterranean pine forests using Landsat time series and regression-based unmixing
Mediterranean forests are highly subjected to fire occurrence. Altered fire regimes resulting
from changes in land use and climate may jeopardize their resilience to fire and induce …
from changes in land use and climate may jeopardize their resilience to fire and induce …
Estimating forest stock volume in Hunan Province, China, by integrating in situ plot data, Sentinel-2 images, and linear and machine learning regression models
The forest stock volume (FSV) is one of the key indicators in forestry resource assessments
on local, regional, and national scales. To date, scaling up in situ plot-scale measurements …
on local, regional, and national scales. To date, scaling up in situ plot-scale measurements …
Characterizing forest disturbance and recovery with thermal trajectories derived from Landsat time series data
The increasing frequency of forest disturbances caused by climate change has highlighted
the importance of understanding the entire process of disturbance, from its onset to forest …
the importance of understanding the entire process of disturbance, from its onset to forest …
Burned area mapping using Unitemporal Planetscope imagery with a deep learning based approach
The risk and damage of wildfires have been increasing due to various reasons including
climate change, and the Republic of Korea is no exception to this situation. Burned area …
climate change, and the Republic of Korea is no exception to this situation. Burned area …
[HTML][HTML] Assessing post-fire forest structure recovery by combining LiDAR data and Landsat time series in Mediterranean pine forests
Understanding post-fire recovery dynamics is critical for effective management that enhance
forest resilience to fire. Mediterranean pine forests have been largely affected by wildfires …
forest resilience to fire. Mediterranean pine forests have been largely affected by wildfires …
Identifying post-fire recovery trajectories and driving factors using landsat time series in fire-prone mediterranean pine forests
Wildfires constitute the most important natural disturbance of Mediterranean forests, driving
vegetation dynamics. Although Mediterranean species have developed ecological post-fire …
vegetation dynamics. Although Mediterranean species have developed ecological post-fire …
[HTML][HTML] Landsat assessment of variable spectral recovery linked to post-fire forest structure in dry sub-boreal forests
Forest disturbances such as wildfires can dramatically alter forest structure and composition,
increasing the likelihood of ecosystem changes. Up-to-date and accurate measures of post …
increasing the likelihood of ecosystem changes. Up-to-date and accurate measures of post …