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A review of machine learning applications in wildfire science and
  management
v1v2 (latest)

A review of machine learning applications in wildfire science and management

2 March 2020
P. Jain
Sean C. P. Coogan
Sriram Ganapathi Subramanian
Mark Crowley
Steve Taylor
M. Flannigan
ArXiv (abs)PDFHTML

Papers citing "A review of machine learning applications in wildfire science and management"

44 / 44 papers shown
Title
Wildfire spread forecasting with Deep Learning
Wildfire spread forecasting with Deep Learning
Nikolaos Anastasiou
Spyros Kondylatos
Ioannis Papoutsis
148
0
0
23 May 2025
Comparative and Interpretative Analysis of CNN and Transformer Models in Predicting Wildfire Spread Using Remote Sensing Data
Comparative and Interpretative Analysis of CNN and Transformer Models in Predicting Wildfire Spread Using Remote Sensing Data
Yihang Zhou
Ruige Kong
Zhengsen Xu
Linlin Xu
Sibo Cheng
81
0
0
18 Mar 2025
A Real-time Multimodal Transformer Neural Network-powered Wildfire Forecasting System
Qijun Chen
Shaofan Li
122
0
0
07 Mar 2025
From Perceptions to Decisions: Wildfire Evacuation Decision Prediction with Behavioral Theory-informed LLMs
From Perceptions to Decisions: Wildfire Evacuation Decision Prediction with Behavioral Theory-informed LLMs
Ruxiao Chen
Chenguang Wang
Yuran Sun
Xilei Zhao
Susu Xu
157
3
0
24 Feb 2025
FireCastNet: Earth-as-a-Graph for Seasonal Fire Prediction
FireCastNet: Earth-as-a-Graph for Seasonal Fire Prediction
Dimitrios Michail
Charalampos Davalas
Lefki-Ioanna Panagiotou
Ioannis Prapas
Spyros Kondylatos
Nikolaos Ioannis Bountos
Ioannis Papoutsis
88
0
0
03 Feb 2025
Has the Deep Neural Network learned the Stochastic Process? An Evaluation Viewpoint
Has the Deep Neural Network learned the Stochastic Process? An Evaluation Viewpoint
H. Kumar
Beomseok Kang
Biswadeep Chakraborty
Saibal Mukhopadhyay
103
0
0
28 Jan 2025
Fire-Image-DenseNet (FIDN) for predicting wildfire burnt area using
  remote sensing data
Fire-Image-DenseNet (FIDN) for predicting wildfire burnt area using remote sensing data
Bo Pang
Sibo Cheng
Yuhan Huang
Yufang Jin
Yike Guo
I. Colin Prentice
Sandy P. Harrison
Rossella Arcucci
AI4CE
112
2
0
02 Dec 2024
Deep Autoencoders for Unsupervised Anomaly Detection in Wildfire
  Prediction
Deep Autoencoders for Unsupervised Anomaly Detection in Wildfire Prediction
İrem Üstek
Miguel Arana-Catania
Alexander Farr
Ivan Petrunin
35
2
0
14 Nov 2024
Advanced Wildfire Prediction in Morocco: Developing a Deep Learning
  Dataset from Multisource Observations
Advanced Wildfire Prediction in Morocco: Developing a Deep Learning Dataset from Multisource Observations
Ayoub Jadouli
Chaker El Amrani
54
1
0
09 Nov 2024
Data-Driven Fire Modeling: Learning First Arrival Times and Model
  Parameters with Neural Networks
Data-Driven Fire Modeling: Learning First Arrival Times and Model Parameters with Neural Networks
Xin Tong
Bryan Quaife
AI4CE
91
1
0
16 Aug 2024
Deep Learning for Wildfire Risk Prediction: Integrating Remote Sensing and Environmental Data
Deep Learning for Wildfire Risk Prediction: Integrating Remote Sensing and Environmental Data
Zhengsen Xu
Jonathan Li
Sibo Cheng
Xue Rui
Yu Zhao
...
Haiyan Guan
Aryan Sharma
Matthew Erxleben
Ryan Chang
Linlin Xu
89
0
0
02 May 2024
Data Science for Geographic Information Systems
Data Science for Geographic Information Systems
Afonso Oliveira
Nuno Fachada
J. Matos-Carvalho
AI4CE
61
0
0
04 Apr 2024
Explainable AI Integrated Feature Engineering for Wildfire Prediction
Explainable AI Integrated Feature Engineering for Wildfire Prediction
Di Fan
Ayan Biswas
J. Ahrens
55
3
0
01 Apr 2024
Next day fire prediction via semantic segmentation
Next day fire prediction via semantic segmentation
Konstantinos Alexis
Stella Girtsou
A. Apostolakis
G. Giannopoulos
C. Kontoes
23
1
0
20 Mar 2024
Thermal Image Calibration and Correction using Unpaired Cycle-Consistent
  Adversarial Networks
Thermal Image Calibration and Correction using Unpaired Cycle-Consistent Adversarial Networks
Hossein Rajoli
Pouya Afshin
Fatemeh Afghah
47
2
0
21 Jan 2024
A comprehensive survey of research towards AI-enabled unmanned aerial
  systems in pre-, active-, and post-wildfire management
A comprehensive survey of research towards AI-enabled unmanned aerial systems in pre-, active-, and post-wildfire management
Sayed Pedram Haeri Boroujeni
Abolfazl Razi
Sahand Khoshdel
Fatemeh Afghah
J. Coen
Leo ONeill
Peter Z Fulé
Adam Watts
Nick-Marios T. Kokolakis
K. Vamvoudakis
42
65
0
04 Jan 2024
Modelling wildland fire burn severity in California using a spatial
  Super Learner approach
Modelling wildland fire burn severity in California using a spatial Super Learner approach
Nicholas Simafranca
Bryant Willoughby
Erin O’Neil
Sophie Farr
Brian J. Reich
Naomi Giertych
Margaret C. Johnson
Madeleine A. Pascolini-Campbell
20
5
0
25 Nov 2023
FLOGA: A machine learning ready dataset, a benchmark and a novel deep
  learning model for burnt area mapping with Sentinel-2
FLOGA: A machine learning ready dataset, a benchmark and a novel deep learning model for burnt area mapping with Sentinel-2
Maria Sdraka
Alkinoos Dimakos
Alexandros Malounis
Zisoula Ntasiou
Konstantinos Karantzalos
Dimitrios Michail
Ioannis Papoutsis
68
4
0
06 Nov 2023
Prescribed Fire Modeling using Knowledge-Guided Machine Learning for
  Land Management
Prescribed Fire Modeling using Knowledge-Guided Machine Learning for Land Management
Somya Sharma Chatterjee
Kelly Lindsay
Neel Chatterjee
Rohan Patil
Ilkay Altintas De Callafon
M. Steinbach
Daniel Giron
Mai H. Nguyen
Vipin Kumar
71
0
0
02 Oct 2023
FireFly A Synthetic Dataset for Ember Detection in Wildfire
FireFly A Synthetic Dataset for Ember Detection in Wildfire
Yue Hu
Xin-Yu Ye
Yifei Liu
Souvik Kundu
Gourav Datta
Srikar Mutnuri
Namo Asavisanu
Nora Ayanian
Konstantinos Psounis
Peter A. Beerel
23
4
0
06 Aug 2023
A generative model for surrogates of spatial-temporal wildfire
  nowcasting
A generative model for surrogates of spatial-temporal wildfire nowcasting
Sibo Cheng
Yike Guo
Rossella Arcucci
SyDaAI4CE
66
9
0
05 Aug 2023
AI for Anticipatory Action: Moving Beyond Climate Forecasting
AI for Anticipatory Action: Moving Beyond Climate Forecasting
Benjamin Q. Huynh
M. Kiang
AI4CE
62
0
0
28 Jul 2023
TeleViT: Teleconnection-driven Transformers Improve Subseasonal to
  Seasonal Wildfire Forecasting
TeleViT: Teleconnection-driven Transformers Improve Subseasonal to Seasonal Wildfire Forecasting
Ioannis Prapas
Nikolaos Ioannis Bountos
Spyros Kondylatos
Dimitrios Michail
Gustau Camps-Valls
Ioannis Papoutsis
AI4TS
100
12
0
19 Jun 2023
Mesogeos: A multi-purpose dataset for data-driven wildfire modeling in
  the Mediterranean
Mesogeos: A multi-purpose dataset for data-driven wildfire modeling in the Mediterranean
Spyros Kondylatos
Ioannis Prapas
Gustau Camps-Valls
Ioannis Papoutsis
65
14
0
08 Jun 2023
Spain on Fire: A novel wildfire risk assessment model based on image
  satellite processing and atmospheric information
Spain on Fire: A novel wildfire risk assessment model based on image satellite processing and atmospheric information
Helena Liz-López
Javier Huertas-Tato
Jorge Pérez-Aracil
C. Casanova-Mateo
J. Sanz-Justo
David Camacho
45
11
0
08 Jun 2023
A Neural Emulator for Uncertainty Estimation of Fire Propagation
A Neural Emulator for Uncertainty Estimation of Fire Propagation
Andrew Bolt
Conrad Sanderson
J. Dabrowski
C. Huston
Petra Kuhnert
65
3
0
10 May 2023
Ideal Abstractions for Decision-Focused Learning
Ideal Abstractions for Decision-Focused Learning
Michael Poli
Stefano Massaroli
Stefano Ermon
Bryan Wilder
Eric Horvitz
100
0
0
29 Mar 2023
Learning from Multiple Independent Advisors in Multi-agent Reinforcement
  Learning
Learning from Multiple Independent Advisors in Multi-agent Reinforcement Learning
Sriram Ganapathi Subramanian
Matthew E. Taylor
Kate Larson
Mark Crowley
37
1
0
26 Jan 2023
Location-aware Adaptive Normalization: A Deep Learning Approach For
  Wildfire Danger Forecasting
Location-aware Adaptive Normalization: A Deep Learning Approach For Wildfire Danger Forecasting
Mohamad Hakam Shams Eddin
R. Roscher
Juergen Gall
88
10
0
16 Dec 2022
Deep Learning for Global Wildfire Forecasting
Deep Learning for Global Wildfire Forecasting
Ioannis Prapas
Akanksha Ahuja
Spyros Kondylatos
Ilektra Karasante
Eleanna Panagiotou
Lazaro Alonso
Charalampos Davalas
Dimitrios Michail
Nuno Carvalhais
Ioannis Papoutsis
79
13
0
01 Nov 2022
Recurrent Convolutional Deep Neural Networks for Modeling Time-Resolved
  Wildfire Spread Behavior
Recurrent Convolutional Deep Neural Networks for Modeling Time-Resolved Wildfire Spread Behavior
J. Burge
M. Bonanni
R. Hu
M. Ihme
AI4CE
65
13
0
28 Oct 2022
AutoML for Climate Change: A Call to Action
AutoML for Climate Change: A Call to Action
Renbo Tu
Nicholas Roberts
Vishak Prasad
Sibasis Nayak
P. Jain
Frederic Sala
Ganesh Ramakrishnan
Ameet Talwalkar
Willie Neiswanger
Colin White
97
6
0
07 Oct 2022
Multi-time Predictions of Wildfire Grid Map using Remote Sensing Local
  Data
Multi-time Predictions of Wildfire Grid Map using Remote Sensing Local Data
Hyung-Jin Yoon
P. Voulgaris
82
2
0
15 Sep 2022
A Multi-Modal Wildfire Prediction and Personalized Early-Warning System
  Based on a Novel Machine Learning Framework
A Multi-Modal Wildfire Prediction and Personalized Early-Warning System Based on a Novel Machine Learning Framework
Rohan T. Bhowmik
AI4CE
25
2
0
18 Aug 2022
A Spatio-Temporal Neural Network Forecasting Approach for Emulation of Firefront Models
A Spatio-Temporal Neural Network Forecasting Approach for Emulation of Firefront Models
Andrew Bolt
C. Huston
Petra Kuhnert
J. Dabrowski
J. Hilton
Conrad Sanderson
AI4TS
123
11
0
17 Jun 2022
Collaborative Auto-Curricula Multi-Agent Reinforcement Learning with
  Graph Neural Network Communication Layer for Open-ended Wildfire-Management
  Resource Distribution
Collaborative Auto-Curricula Multi-Agent Reinforcement Learning with Graph Neural Network Communication Layer for Open-ended Wildfire-Management Resource Distribution
P. D. Siedler
AI4CE
29
3
0
24 Apr 2022
Next Day Wildfire Spread: A Machine Learning Data Set to Predict
  Wildfire Spreading from Remote-Sensing Data
Next Day Wildfire Spread: A Machine Learning Data Set to Predict Wildfire Spreading from Remote-Sensing Data
F. Huot
R. Hu
N. Goyal
T. Sankar
M. Ihme
Yi-Fan Chen
123
73
0
04 Dec 2021
Toward Foundation Models for Earth Monitoring: Proposal for a Climate
  Change Benchmark
Toward Foundation Models for Earth Monitoring: Proposal for a Climate Change Benchmark
Alexandre Lacoste
Evan D. Sherwin
Hannah Kerner
Hamed Alemohammad
Bjorn Lutjens
...
Alex Chang
Mehmet Gunturkun
Alexandre Drouin
Pau Rodríguez López
David Vazquez
AI4ClAI4CE
54
31
0
01 Dec 2021
Learning Wildfire Model from Incomplete State Observations
Learning Wildfire Model from Incomplete State Observations
Alissa Chavalithumrong
Hyung-Jin Yoon
P. Voulgaris
36
1
0
28 Nov 2021
Deep Learning Methods for Daily Wildfire Danger Forecasting
Deep Learning Methods for Daily Wildfire Danger Forecasting
Ioannis Prapas
Spyros Kondylatos
Ioannis Papoutsis
Gustau Camps-Valls
M. Ronco
Miguel-Ángel Fernández-Torres
M. Guillem
Nuno Carvalhais
54
27
0
04 Nov 2021
Multi-Agent Advisor Q-Learning
Multi-Agent Advisor Q-Learning
Sriram Ganapathi Subramanian
Matthew E. Taylor
Kate Larson
Mark Crowley
OffRL
114
10
0
26 Oct 2021
Preliminary Wildfire Detection Using State-of-the-art PTZ (Pan, Tilt,
  Zoom) Camera Technology and Convolutional Neural Networks
Preliminary Wildfire Detection Using State-of-the-art PTZ (Pan, Tilt, Zoom) Camera Technology and Convolutional Neural Networks
Samarth Shah
17
1
0
10 Sep 2021
Convolutional LSTM Neural Networks for Modeling Wildland Fire Dynamics
Convolutional LSTM Neural Networks for Modeling Wildland Fire Dynamics
J. Burge
M. Bonanni
M. Ihme
Lily Hu
90
19
0
11 Dec 2020
Characterization of Industrial Smoke Plumes from Remote Sensing Data
Characterization of Industrial Smoke Plumes from Remote Sensing Data
Michael Mommert
Mario Sigel
Marcel Neuhausler
L. Scheibenreif
Damian Borth
28
11
0
23 Nov 2020
1