An analysis of geospatial technologies for risk and natural disaster management

LA Manfré, E Hirata, JB Silva, EJ Shinohara… - … International Journal of …, 2012 - mdpi.com
This paper discusses the use of spatial data for risk and natural disaster management. The
importance of remote-sensing (RS), Geographic Information System (GIS) and Global …

[HTML][HTML] SmokeNet: Satellite smoke scene detection using convolutional neural network with spatial and channel-wise attention

R Ba, C Chen, J Yuan, W Song, S Lo - Remote Sensing, 2019 - mdpi.com
A variety of environmental analysis applications have been advanced by the use of satellite
remote sensing. Smoke detection based on satellite imagery is imperative for wildfire …

[HTML][HTML] Detecting forest fire omission error based on data fusion at subpixel scale

H Xu, G Zhang, R Chu, J Zhang, Z Yang, X Wu… - International Journal of …, 2024 - Elsevier
Forest disaster fires pose a serious threat to forest resources and people's lives and
property, and may also cause ecological disasters and social crises. There is a …

[HTML][HTML] Investigating the impact of using IR bands on early fire smoke detection from landsat imagery with a lightweight CNN model

L Zhao, J Liu, S Peters, J Li, S Oliver, N Mueller - Remote Sensing, 2022 - mdpi.com
Smoke plumes are the first things seen from space when wildfires occur. Thus, fire smoke
detection is important for early fire detection. Deep Learning (DL) models have been used to …

Forest fire smoke detection research based on the random forest algorithm and sub-pixel map** method

X Li, G Zhang, S Tan, Z Yang, X Wu - Forests, 2023 - mdpi.com
In order to locate forest fire smoke more precisely and expand existing forest fire monitoring
methods, this research employed Himawari-8 data with a sub-pixel positioning concept in …

A forest fire smoke detection model combining convolutional neural network and vision transformer

Y Zheng, G Zhang, S Tan, Z Yang, D Wen… - Frontiers in Forests and …, 2023 - frontiersin.org
Forest fires seriously jeopardize forestry resources and endanger people and property. The
efficient identification of forest fire smoke, generated from inadequate combustion during the …

Forest fire smoke detection using back-propagation neural network based on MODIS data

X Li, W Song, L Lian, X Wei - Remote Sensing, 2015 - mdpi.com
Satellite remote sensing provides global observations of the Earth's surface and provides
useful information for monitoring smoke plumes emitted from forest fires. The aim of this …

Research on progress of forest fire monitoring with satellite remote sensing

Y Zheng, G Zhang, S Tan, L Feng - Agricultural & Rural Studies, 2023 - sccpress.com
With satellite remote sensing technology blooming, satellite remote sensing has become a
common tool to detect forest fires, and played an important role in forest fire monitoring. This …

[HTML][HTML] A satellite imagery smoke detection framework based on the Mahalanobis distance for early fire identification and positioning

Y Sun, L Jiang, J Pan, S Sheng, L Hao - International Journal of Applied …, 2023 - Elsevier
Wildfires negatively affect the atmosphere and ecological environment. The rapid
identification of smoke is helpful for early fire detection and positioning, which are significant …

An optimized smoke segmentation method for forest and grassland fire based on the UNet framework

X Hu, F Jiang, X Qin, S Huang, X Yang, F Meng - Fire, 2024 - mdpi.com
Smoke, a byproduct of forest and grassland combustion, holds the key to precise and rapid
identification—an essential breakthrough in early wildfire detection, critical for forest and …