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In all types of disasters, from earthquakes to armed conflicts, aid workers need accurate and timely data such as damage to buildings and population displacement to mount an effective response. Remote sensing provides this data at an…

Computer Vision and Pattern Recognition · Computer Science 2019-10-16 Joseph Z. Xu , Wenhan Lu , Zebo Li , Pranav Khaitan , Valeriya Zaytseva

Wildfires represent a problem for ecosystems, human activities, and economies, driven by the climate crisis and land-use changes. Predicting wildfire propagation through mathematical modelling is essential for damage mitigation and risk…

Forest fires may cause considerable damages both in ecosystems and lives. This proposal describes the application of Internet of Things and wireless sensor networks jointly with multi-hop routing through a real time and dynamic monitoring…

Cryptography and Security · Computer Science 2022-09-19 J Toledo-Castro , I Santos-González , P Caballero-Gil , C Hernández-Goya , N Rodríguez-Pérez , R Aguasca-Colomo

Wildfires are becoming increasingly frequent and devastating, and therefore the technology to combat them must adapt accordingly. Modern predictive models have failed to balance predictive accuracy and operational viability, resulting in…

Physics and Society · Physics 2025-10-14 Connor Weinhouse , Jameson Augustin

High quality energy systems information is a crucial input to energy systems research, modeling, and decision-making. Unfortunately, actionable information about energy systems is often of limited availability, incomplete, or only…

Signal Processing · Electrical Eng. & Systems 2022-10-04 Simiao Ren , Wei Hu , Kyle Bradbury , Dylan Harrison-Atlas , Laura Malaguzzi Valeri , Brian Murray , Jordan M. Malof

The impact of wildfire smoke on air quality is a growing concern, contributing to air pollution through a complex mixture of chemical species with important implications for public health. While previous studies have primarily focused on…

Methodology · Statistics 2026-02-10 Dafne Zorzetto , Jenna Landy , Corwin Zigler , Giovanni Parmigiani , Roberta De Vito

Wildland fire dynamics is a complex turbulent dimensional process. Cellular automata (CA) is an efficient tool to predict fire dynamics, but the main parameters of the method are challenging to estimate. To overcome this challenge, we…

Cellular Automata and Lattice Gases · Physics 2017-12-14 Miles Currie , Kevin Speer , Kevin Hiers , Joseph O'Brien , Scott Goodrick , Bryan Quaife

With the rise in high resolution remote sensing technologies there has been an explosion in the amount of data available for forest monitoring, and an accompanying growth in artificial intelligence applications to automatically derive…

Wildland fire smoke exposures are an increasing threat to public health, and thus there is a growing need for studying the effects of protective behaviors on reducing health outcomes. Emerging smartphone applications provide unprecedented…

Methodology · Statistics 2024-07-09 Lili Wu , Chenyin Gao , Shu Yang , Brian J. Reich , Ana G. Rappold

Climate change has intensified extreme weather and wildfire conditions globally. Canada experienced record-breaking wildfires in 2023 and 2025, burning millions of hectares and severely impacting the Prairie provinces, with Manitoba facing…

Computers and Society · Computer Science 2026-04-17 Xiang Shi , Peng Hu

Monitoring and understanding forest dynamics is essential for environmental conservation and management. This is why the Swiss National Forest Inventory (NFI) provides countrywide vegetation height maps at a spatial resolution of 0.5 m. Its…

Computer Vision and Pattern Recognition · Computer Science 2023-09-06 Yuchang Jiang , Marius Rüetschi , Vivien Sainte Fare Garnot , Mauro Marty , Konrad Schindler , Christian Ginzler , Jan D. Wegner

Fast and effective responses are required when a natural disaster (e.g., earthquake, hurricane, etc.) strikes. Building damage assessment from satellite imagery is critical before an effective response is conducted. High-resolution…

Computer Vision and Pattern Recognition · Computer Science 2020-11-20 Yu Shen , Sijie Zhu , Taojiannan Yang , Chen Chen

Over the past couple of decades, the number of wildfires and area of land burned around the world has been steadily increasing, partly due to climatic changes and global warming. Therefore, there is a high probability that more people will…

The forest fires characteristics in Siberia detected by satellite data (MODIS instruments on Aqua and Terra platforms) for the period 2000-2019 are analyzed. Regional statistical data and distribution functions of wildfire characteristics…

Atmospheric and Oceanic Physics · Physics 2022-06-22 I. I. Mokhov , S. A. Sitnov

Forest wildfires represent one of the catastrophic events that, over the last decades, caused huge environmental and humanitarian damages. In addition to a significant amount of carbon dioxide emission, they are a source of risk to society…

Computer Vision and Pattern Recognition · Computer Science 2024-01-23 Daniele Rege Cambrin , Luca Colomba , Paolo Garza

There are numerous geo-climatic and human factors that contribute to the occurrence of natural disasters in the real-world scenario. Besides the study of causes and preconditions of such calamities, post-disaster analysis is essential for…

Numerical Analysis · Mathematics 2022-05-26 Sukeerthi Mandyam , Shanmuga Priya , Shalini Suresh , Kavitha Srinivasan

Utilizing satellite imagery for wildfire detection presents substantial potential for practical applications. To advance the development of machine learning algorithms in this domain, our study introduces the \textit{Sen2Fire} dataset--a…

Computer Vision and Pattern Recognition · Computer Science 2024-12-11 Yonghao Xu , Amanda Berg , Leif Haglund

Increasingly frequent wildfires significantly affect solar energy production as the atmospheric aerosols generated by wildfires diminish the incoming solar radiation to the earth. Atmospheric aerosols are measured by Aerosol Optical Depth…

Applications · Statistics 2022-06-24 Guanzhou Wei , Venkat Krishnan , Yu Xie , Manajit Sengupta , Yingchen Zhang , Haitao Liao , Xiao Liu

Illegal wildlife poaching is driving the loss of biodiversity. To combat poaching, rangers patrol expansive protected areas for illegal poaching activity. However, rangers often cannot comprehensively search such large parks. Thus, the…

Machine Learning · Computer Science 2020-11-24 Rachel Guo , Lily Xu , Drew Cronin , Francis Okeke , Andrew Plumptre , Milind Tambe

Wildfires represent an important natural risk causing economic losses, human death and important environmental damage. In recent years, we witness an increase in fire intensity and frequency. Research has been conducted towards the…

Robotics · Computer Science 2021-03-08 Moulay A. Akhloufi , Nicolas A. Castro , Andy Couturier
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