[HTML][HTML] Historical background and current developments for mapping burned area from satellite Earth observation

E Chuvieco, F Mouillot, GR Van der Werf… - Remote Sensing of …, 2019 - Elsevier
Fire has a diverse range of impacts on Earth's physical and social systems. Accurate and up
to date information on areas affected by fire is critical to better understand drivers of fire …

[HTML][HTML] Remote sensing of forest burnt area, burn severity, and post-fire recovery: A review

E Kurbanov, O Vorobev, S Lezhnin, J Sha, J Wang… - Remote Sensing, 2022 - mdpi.com
Wildland fires dramatically affect forest ecosystems, altering the loss of their biodiversity and
their sustainability. In addition, they have a strong impact on the global carbon balance and …

Mapping of cropland, cropping patterns and crop types by combining optical remote sensing images with decision tree classifier and random forest

A Tariq, J Yan, AS Gagnon, M Riaz Khan… - Geo-Spatial …, 2023 - Taylor & Francis
Mapping and monitoring the distribution of croplands and crop types support policymakers
and international organizations by reducing the risks to food security, notably from climate …

[HTML][HTML] Development of a Sentinel-2 burned area algorithm: Generation of a small fire database for sub-Saharan Africa

E Roteta, A Bastarrika, M Padilla, T Storm… - Remote sensing of …, 2019 - Elsevier
A locally-adapted multitemporal two-phase burned area (BA) algorithm has been developed
using as inputs Sentinel-2 MSI reflectance measurements in the short and near infrared …

[HTML][HTML] 30 m resolution global annual burned area mapping based on Landsat Images and Google Earth Engine

T Long, Z Zhang, G He, W Jiao, C Tang, B Wu… - Remote Sensing, 2019 - mdpi.com
Heretofore, global Burned Area (BA) products have only been available at coarse spatial
resolution, since most of the current global BA products are produced with the help of active …

Mapping burned areas using dense time-series of Landsat data

TJ Hawbaker, MK Vanderhoof, YJ Beal… - Remote Sensing of …, 2017 - Elsevier
Complete and accurate burned area data are needed to document patterns of fires, to
quantify relationships between the patterns and drivers of fire occurrence, and to assess the …

Deep-learning-based burned area mapping using the synergy of Sentinel-1&2 data

Q Zhang, L Ge, R Zhang, GI Metternicht, Z Du… - Remote Sensing of …, 2021 - Elsevier
Around 350 million hectares of land are affected by wildfires every year influencing the
health of ecosystems and leaving a trail of destruction. Accurate information over burned …

[HTML][HTML] The Landsat Burned Area algorithm and products for the conterminous United States

TJ Hawbaker, MK Vanderhoof, GL Schmidt… - Remote Sensing of …, 2020 - Elsevier
Complete and accurate burned area map data are needed to document spatial and
temporal patterns of fires, to quantify their drivers, and to assess the impacts on human and …

[HTML][HTML] Remote sensing techniques in monitoring post-fire effects and patterns of forest recovery in boreal forest regions: A review

T Chu, X Guo - Remote Sensing, 2013 - mdpi.com
The frequency and severity of forest fires, coupled with changes in spatial and temporal
precipitation and temperature patterns, are likely to severely affect the characteristics of …

A deep learning approach for mapping and dating burned areas using temporal sequences of satellite images

MM Pinto, R Libonati, RM Trigo, IF Trigo… - ISPRS Journal of …, 2020 - Elsevier
Over the past decades, methods for burned areas mapping and dating from remote sensing
imagery have been the object of extensive research. The limitations of current methods …