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Wildfires pose significant threats to ecosystems and communities, yet accurately modeling fire spread remains challenging, particularly in regions where environmental and fuel data are scarce or unavailable. This study introduces an…

Mathematical Physics · Physics 2025-12-12 Hengameh R. Dehkordi

Understanding droughts in a climate context remains a major challenge. Over the United States, different choices of observations and metrics have often produced diametrically opposite insights. This paper focuses on understanding and…

Atmospheric and Oceanic Physics · Physics 2015-12-31 Poulomi Ganguli , Auroop R. Ganguly

Wildfires pose a severe threat to the ecosystem and economy, and risk assessment is typically based on fire danger indices such as the McArthur Forest Fire Danger Index (FFDI) used in Australia. Studying the joint tail dependence structure…

Methodology · Statistics 2023-08-09 Daniela Cisneros , Arnab Hazra , Raphaël Huser

Wildfires are a common problem in many areas of the world with often catastrophic consequences. A number of systems have been created to provide early warnings of wildfires, including those that use satellite data to detect fires. The…

Machine Learning · Computer Science 2022-11-10 Richard Hawkins , Chiara Picardi , Lucy Donnell , Murray Ireland

A multi-decade record of ground-based mid-infrared (7-25 $\mu$m) images of Saturn is used to explore seasonal and non-seasonal variability in thermal emission over more than a Saturnian year (1984-2022). Thermal emission measured by 3-m and…

Spatio-temporal modelling of tree defoliation data of German forest condition survey is presented. In the present study generalized additive mixed models were used to estimate the spatio-temporal trends of defoliation of the main tree…

Applications · Statistics 2019-12-09 Nadine Eickenscheidt , Nicole H. Augustin , Nicole Wellbrock

There is continuing interest in the investigation of change in temperature over space and time. We offer a set of tools to illuminate such change temporally, at desired temporal resolution, and spatially, according to region of interest,…

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

Recent wildfires in the United States have resulted in loss of life and billions of dollars, destroying countless structures and forests. Fighting wildfires is extremely complex. It is difficult to observe the true state of fires due to…

Artificial Intelligence · Computer Science 2020-10-16 Tina Diao , Samriddhi Singla , Ayan Mukhopadhyay , Ahmed Eldawy , Ross Shachter , Mykel Kochenderfer

How is climate change altering the global patterns, frequency, and intensity of drought? To investigate this, we analyzed global drought events from 2000-2020 using a composite of hydrological indices ($\Sigma$(ET-P), SSMI, and GRACE-DSI).…

Atmospheric and Oceanic Physics · Physics 2025-09-27 Qianqian Han , Yijian Zeng , Bob Su

Wildfires are an escalating global concern due to the devastating impacts on the environment, economy, and human health, with notable incidents such as the 2019-2020 Australian bushfires and the 2025 California wildfires underscoring the…

Computer Vision and Pattern Recognition · Computer Science 2026-04-28 Weihao Li , Hongjin Zhao , Gao Zhu , Ge-Peng Ji , Nicholas Wilson , Marta Yebra , Nick Barnes

Fire and smoke phenomena pose a significant threat to the natural environment, ecosystems, and global economy, as well as human lives and wildlife. In this particular circumstance, there is a demand for more sophisticated and advanced…

Computer Vision and Pattern Recognition · Computer Science 2025-07-09 Sayed Pedram Haeri Boroujeni , Niloufar Mehrabi , Fatemeh Afghah , Connor Peter McGrath , Danish Bhatkar , Mithilesh Anil Biradar , Abolfazl Razi

In recent years, increased wildfires have caused irreversible damage to forest resources worldwide, threatening wildlives and human living conditions. The lack of accurate frontline information in real-time can pose great risks to…

Robotics · Computer Science 2021-12-07 Tai Yang , Shumeng Zhang , Yong Wang , Jialei Liu

Disparity in suicide rates between urban and suburban/rural areas is growing, with rural areas typically witnessing higher suicide rates in the U.S. However, previous studies often ignored the effect of socio-environmental factors on the…

Applications · Statistics 2022-01-19 Sayanti Mukherjee , Zhiyuan Wei

This study introduces a novel dataset for segmenting flooded areas in satellite images. After reviewing 77 existing benchmarks utilizing satellite imagery, we identified a shortage of suitable datasets for this specific task. To fill this…

Computer Vision and Pattern Recognition · Computer Science 2025-08-01 Youngsun Jang , Dongyoun Kim , Chulwoo Pack , Kwanghee Won

Multiple studies have performed next-day fire prediction using satellite imagery. Two main satellites are used to detect wildfires: MODIS and VIIRS. Both satellites provide fire mask products, called MOD14 and VNP14, respectively. Studies…

Computer Vision and Pattern Recognition · Computer Science 2025-09-04 Justus Karlsson , Yonghao Xu , Amanda Berg , Leif Haglund

UAVs are playing an increasingly important role in the field of wilderness rescue by virtue of their flexibility. This paper proposes a fusion of UAV vision technology and satellite image analysis technology for active wildfires detection…

Artificial Intelligence · Computer Science 2023-12-07 Chang Liu , Tamas Sziranyi

Natural and anthropogenic disturbances are impacting the health of forests worldwide. Monitoring forest disturbances at scale is important to inform conservation efforts. Here, we present a scalable approach for country-wide mapping of…

For the time being, Earth remains the best and only example of a habitable (and inhabited) world. Therefore, it is important to explore and understand the full range of spectral signatures and variability of Earth in order to inform the…

Earth and Planetary Astrophysics · Physics 2020-11-11 Jean-Noël Mettler , Sascha P. Quanz , Ravit Helled

In this paper, we propose a semi-automatic approach to map burned areas and assess burn severity that does not require prior knowledge of the fire date. First, we apply BFAST to NDVI time series and estimate statistically abrupt changes in…