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Deep learning approaches for wildland fires using satellite remote sensing data: Detection, map**, and prediction
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 …
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
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 …
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 …
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
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 …
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
Fire regimes across the globe have great spatial and temporal variability, and these are
influence by many factors including anthropogenic management, climate, and vegetation …
influence by many factors including anthropogenic management, climate, and vegetation …
Fire detection and fire characterization over Africa using Meteosat SEVIRI
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 …
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 …
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)
We present an automated fire detection algorithm for the Advanced Spaceborne Thermal
Emission and Reflection Radiometer (ASTER) sensor capable of map** actively burning …
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
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 …
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
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 …
Earth observing instrument that builds on the heritage of the Along Track Scanning …