Deep learning approaches for wildland fires using satellite remote sensing data: Detection, map**, and prediction

R Ghali, MA Akhloufi - Fire, 2023 - mdpi.com
Wildland fires are one of the most dangerous natural risks, causing significant economic
damage and loss of lives worldwide. Every year, millions of hectares are lost, and experts …

Airborne optical and thermal remote sensing for wildfire detection and monitoring

RS Allison, JM Johnston, G Craig, S Jennings - Sensors, 2016 - mdpi.com
For decades detection and monitoring of forest and other wildland fires has relied heavily on
aircraft (and satellites). Technical advances and improved affordability of both sensors and …

Semantic segmentation and analysis on sensitive parameters of forest fire smoke using smoke-unet and landsat-8 imagery

Z Wang, P Yang, H Liang, C Zheng, J Yin, Y Tian… - Remote Sensing, 2021 - mdpi.com
Forest fire is a ubiquitous disaster which has a long-term impact on the local climate as well
as the ecological balance and fire products based on remote sensing satellite data have …

Spatiotemporal fire occurrence in Borneo over a period of 10 years

A Langner, F Siegert - Global Change Biology, 2009 - Wiley Online Library
South‐east Asia's tropical rainforests are experiencing the highest rate of deforestation
worldwide and fire is one of the most important drivers of forest loss and subsequent carbon …

Spatial and temporal variability and trends in 2001–2016 global fire activity

N Earl, I Simmonds - Journal of Geophysical Research …, 2018 - Wiley Online Library
Fire regimes across the globe have great spatial and temporal variability, and these are
influence by many factors including anthropogenic management, climate, and vegetation …

Fire detection and fire characterization over Africa using Meteosat SEVIRI

GJ Roberts, MJ Wooster - IEEE Transactions on Geoscience …, 2008 - ieeexplore.ieee.org
Africa is the single largest continental source of biomass burning emissions and one where
emission source strengths are characterized by strong diurnal and seasonal cycles. This …

The progress of operational forest fire monitoring with infrared remote sensing

L Hua, G Shao - Journal of forestry research, 2017 - Springer
Forest wildfires pose significant and growing threats to human safety, wildlife habitat,
regional economies and global climate change. It is crucial that forest fires be subject to …

Active fire detection and characterization with the advanced spaceborne thermal emission and reflection radiometer (ASTER)

L Giglio, I Csiszar, Á Restás, JT Morisette… - Remote sensing of …, 2008 - Elsevier
We present an automated fire detection algorithm for the Advanced Spaceborne Thermal
Emission and Reflection Radiometer (ASTER) sensor capable of map** actively burning …

A method for extracting burned areas from Landsat TM/ETM+ images by soft aggregation of multiple Spectral Indices and a region growing algorithm

D Stroppiana, G Bordogna, P Carrara… - ISPRS Journal of …, 2012 - Elsevier
Since fire is a major threat to forests and wooded areas in the Mediterranean environment of
Southern Europe, systematic regional fire monitoring is a necessity. Satellite data constitute …

Sentinel-3 SLSTR active fire detection and FRP product: Pre-launch algorithm development and performance evaluation using MODIS and ASTER datasets

MJ Wooster, W Xu, T Nightingale - Remote sensing of environment, 2012 - Elsevier
The Sentinel-3 Sea and Land Surface Temperature Radiometer (SLSTR) is a dual-view
Earth observing instrument that builds on the heritage of the Along Track Scanning …