24.4.13.8 Forest Fire Evaluation, Wildfire Analysis, Brushfire Analysis, Fire Detection

Chapter Contents (Back)
Forest. Forest Fires. Fire Detection.
See also Forest Fire Prediction, Fire Hazard, Mitigation, Risk, Susceptibility.
See also Smoke from Forest Fires, Smoke from Wildfires.
See also Burned Area Detection, Fire Damage Assessment, Post-Fire Analysis. Mostly for non-fire changes:
See also Forest Change Evaluation, Change Detection, Temporal Analysis. More the surveillance systems:
See also Surveillance Systems, Applied to Fire and Flame Detection. General Infrared analysis.
See also ATR -- IR, Infra-Red, Thermal, Applications. Includeing buring of residue:
See also Crop Residue Analysis.

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Perception systems; Infrared and visual image processing; Forest fires; Sensor fusion BibRef

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Elvidge, C.D.[Christopher D.], Zhizhin, M.[Mikhail], Hsu, F.C.[Feng-Chi], Baugh, K.E.[Kimberly E.],
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Paugam, R., Wooster, M.J., Roberts, G.,
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Wickramasinghe, C.H.[Chathura H.], Jones, S.[Simon], Reinke, K.[Karin], Wallace, L.[Luke],
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IEEE DOI 2106
Australia, Clouds, Cloud computing, Fires, MODIS, Advanced Baseline Imager, Advanced Himawari Imager, Himawari-8 BibRef

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Utilizing the Available Open-Source Remotely Sensed Data in Assessing the Wildfire Ignition and Spread Capacities of Vegetated Surfaces in Romania,
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Elsevier DOI 2108
Active fire detection, Active fire segmentation, Active fire dataset, Convolutional neural network, Landsat-8 imagery BibRef

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Satellite remote sensing, Fire count, Fire Radiative Power (FRP), Vegetation water content, Fire Weather Index (FWI) BibRef

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Tian, Y.P.[Yu-Ping], Wu, Z.C.[Ze-Chuan], Li, M.Z.[Ming-Ze], Wang, B.[Bin], Zhang, X.D.[Xiao-Di],
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On the Potential of Flaming Hotspot Detection at Night via Multiband Visible/Near-Infrared Imaging,
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Flares BibRef

Jin, R.[Ri], Lee, K.S.[Kyoo-Seock],
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Rafaqat, W.[Warda], Iqbal, M.[Mansoor], Kanwal, R.[Rida], Song, W.G.[Wei-Guo],
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Ye, X.X.[Xin-Xin], Deshler, M.[Mina], Lyapustin, A.[Alexi], Wang, Y.J.[Yu-Jie], Kondragunta, S.[Shobha], Saide, P.[Pablo],
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Zhou, Y.K.[Yi-Kang], Ji, S.P.[Shun-Ping], Warner, T.A.[Timothy A.],
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Muksimova, S.[Shakhnoza], Mardieva, S.[Sevara], Cho, Y.I.[Young-Im],
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Bao, Y.L.[Yu-Long], Shinoda, M.[Masato], Yi, K.[Kunpeng], Fu, X.M.[Xiao-Man], Sun, L.[Long], Nasanbat, E.[Elbegjargal], Li, N.[Na], Xiang, H.[Honglin], Yang, Y.[Yan], DavdaiJavzmaa, B.[Bulgan], Nandintsetseg, B.[Banzragch],
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Sofan, P.[Parwati], Yulianto, F.[Fajar], Sakti, A.D.[Anjar Dimara],
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Tagestad, J.D.[Jerry D.], Saltiel, T.M.[Troy M.], Coleman, A.M.[André M.],
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Fernández-Guisuraga, J.M.[José Manuel], Fernandes, P.M.[Paulo M.],
Using Pre-Fire High Point Cloud Density LiDAR Data to Predict Fire Severity in Central Portugal,
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Ren, X.Y.[Xiao-Yang], Yu, X.[Xin], Wang, Y.[Yi],
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Thangavel, K.[Kathiravan], Spiller, D.[Dario], Sabatini, R.[Roberto], Amici, S.[Stefania], Sasidharan, S.T.[Sarathchandrakumar Thottuchirayil], Fayek, H.[Haytham], Marzocca, P.[Pier],
Autonomous Satellite Wildfire Detection Using Hyperspectral Imagery and Neural Networks: A Case Study on Australian Wildfire,
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Zhang, D.[Da], Huang, C.L.[Chun-Lin], Gu, J.[Juan], Hou, J.L.[Jin-Liang], Zhang, Y.[Ying], Han, W.X.[Wei-Xiao], Dou, P.[Peng], Feng, Y.[Yaya],
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Yulianti, N.[Nina], Hayasaka, H.[Hiroshi],
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Li, Z.R.[Zong-Run], Maji, K.J.[Kamal J.], Hu, Y.T.[Yong-Tao], Vaidyanathan, A.[Ambarish], O'Neill, S.M.[Susan M.], Odman, M.T.[M. Talat], Russell, A.G.[Armistead G.],
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Liu, Y.Q.[Yu-Qi], Zheng, C.[Change], Liu, X.D.[Xiao-Dong], Tian, Y.[Ye], Zhang, J.Z.[Jian-Zhong], Cui, W.B.[Wen-Bin],
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Schreck, J.S.[John S.], Petzke, W.[William], Jiménez, P.A.[Pedro A.], Brummet, T.[Thomas], Knievel, J.C.[Jason C.], James, E.[Eric], Kosovic, B.[Branko], Gagne, D.J.[David John],
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Fu, Y.Y.[Yu-Yun], Hu, J.H.[Ji-Heng], Song, W.G.[Wei-Guo], Cheng, Y.Y.X.[Yuan-Yan-Xi], Li, R.[Rui],
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Elsevier DOI 2308
Microwave vegetation water content, Weather conditions, Fire activity BibRef

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Elsevier DOI 2310
Forest fire detection, Fire detection rate, Error warning rate, SVM, Dual representation BibRef

Su, J.J.[Jia-Jia], Liu, Z.H.[Zhi-Hua], Wang, W.J.[Wen-Juan], Jiao, K.W.[Ke-Wei], Yu, Y.[Yue], Li, K.[Kaili], Lü, Q.S.[Qiu-Shuang], Fletcher, T.L.[Tamara L.],
Evaluation of the Spatial Distribution of Predictors of Fire Regimes in China from 2003 to 2016,
RS(15), No. 20, 2023, pp. 4946.
DOI Link 2310
BibRef

Pang, Y.X.[Ya-Xuan], Wu, Y.[Yiquan], Yuan, Y.[Yubin],
FuF-Det: An Early Forest Fire Detection Method under Fog,
RS(15), No. 23, 2023, pp. 5435.
DOI Link 2312
BibRef

Li, Y.[Yan], Wu, G.Z.[Guo-Zhou], Zhang, S.[Shuai], Li, M.C.[Man-Chun], Nie, B.[Beidou], Chen, Z.J.[Zhen-Jie],
A Novel Method of Modeling Grassland Wildfire Dynamics Based on Cellular Automata: A Case Study in Inner Mongolia, China,
IJGI(12), No. 12, 2023, pp. 474.
DOI Link 2312
BibRef

Badhan, M.[Mukul], Shamsaei, K.[Kasra], Ebrahimian, H.[Hamed], Bebis, G.[George], Lareau, N.P.[Neil P.], Rowell, E.[Eric],
Deep Learning Approach to Improve Spatial Resolution of GOES-17 Wildfire Boundaries Using VIIRS Satellite Data,
RS(16), No. 4, 2024, pp. 715.
DOI Link 2402
BibRef

Zeng, Y.[Yu], Liu, S.G.[Shu-Guang], Huang, S.[Sheng], Patil, S.D.[Sopan D.], Gao, W.Y.[Wen-Yuan], Li, H.[Hao],
Exploring Spatiotemporal Characteristics and Driving Forces of Straw Burning in Hunan Province, China, from 2010 to 2020,
RS(16), No. 8, 2024, pp. 1438.
DOI Link 2405
BibRef

Zikiou, N.[Nadia], Rushmeier, H.[Holly], Capel, M.I.[Manuel I.], Kandakji, T.[Tarek], Rios, N.[Nelson], Lahdir, M.[Mourad],
Remote Sensing and Machine Learning for Accurate Fire Severity Mapping in Northern Algeria,
RS(16), No. 9, 2024, pp. 1517.
DOI Link 2405
BibRef

Han, Y.H.[Yu-Hang], Duan, B.C.[Bing-Chen], Guan, R.[Renxiang], Yang, G.[Guang], Zhen, Z.[Zhen],
LUFFD-YOLO: A Lightweight Model for UAV Remote Sensing Forest Fire Detection Based on Attention Mechanism and Multi-Level Feature Fusion,
RS(16), No. 12, 2024, pp. 2177.
DOI Link 2406
BibRef

Wang, H.F.[Hai-Feng], Zhang, G.[Gui], Yang, Z.[Zhigao], Xu, H.Z.[Hai-Zhou], Liu, F.[Feng], Xie, S.F.[Shao-Feng],
Satellite Remote Sensing False Forest Fire Hotspot Excavating Based on Time-Series Features,
RS(16), No. 13, 2024, pp. 2488.
DOI Link 2407
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Goffin, B.D.[Benjamin D.], Aryal, A.[Aashutosh], Deppert, Q.[Quinton], Ross, K.W.[Kenton W.], Lakshmi, V.[Venkataraman],
Mapping Extreme Wildfires Using a Critical Threshold in SMAP Soil Moisture,
RS(16), No. 13, 2024, pp. 2457.
DOI Link 2407
BibRef

Li, S.L.[Shou-Liang], Han, J.[Jiale], Chen, F.H.[Fang-Hui], Min, R.[Rudong], Yi, S.[Sixue], Yang, Z.[Zhen],
Fire-Net: Rapid Recognition of Forest Fires in UAV Remote Sensing Imagery Using Embedded Devices,
RS(16), No. 15, 2024, pp. 2846.
DOI Link 2408
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Son, M.W.[Min-Woo], Kim, C.G.[Chang-Gyun], Kim, B.S.[Byung-Sik],
Development of an Algorithm for Assessing the Scope of Large Forest Fire Using VIIRS-Based Data and Machine Learning,
RS(16), No. 14, 2024, pp. 2667.
DOI Link 2408
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Tong, H.W.[Hong-Wei], Yuan, J.[Jianye], Zhang, J.J.[Jing-Jing], Wang, H.F.[Hao-Fei], Li, T.[Teng],
Real-Time Wildfire Monitoring Using Low-Altitude Remote Sensing Imagery,
RS(16), No. 15, 2024, pp. 2827.
DOI Link 2408
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Hayasaka, H.[Hiroshi],
Active Wildland Fires in Central Chile and Local Winds (Puelche),
RS(16), No. 14, 2024, pp. 2605.
DOI Link 2408
BibRef

Horton, D.[Dustin], Johnson, J.T.[Joel T.], Baris, I.[Ismail], Jagdhuber, T.[Thomas], Bindlish, R.[Rajat], Park, J.[Jeonghwan], Al-Khaldi, M.M.[Mohammad M.],
Wildfire Threshold Detection and Progression Monitoring Using an Improved Radar Vegetation Index in California,
RS(16), No. 16, 2024, pp. 3050.
DOI Link 2408
BibRef

Yao, H.[Houzhi], Yang, Z.[Zhigao], Zhang, G.[Gui], Liu, F.[Feng],
Forest Fire Detection Based on Spatial Characteristics of Surface Temperature,
RS(16), No. 16, 2024, pp. 2945.
DOI Link 2408
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Li, Y.[Yihan], Hu, H.Y.[Hai-Yang], Wang, Q.[Qiang],
Non-Dominated Sorting Genetic Algorithm II (NSGA2)-Based Parameter Optimization of the MSMGWB Model Used in Remote Infrared Sensing Prediction for Hot Combustion Gas Plume,
RS(16), No. 17, 2024, pp. 3116.
DOI Link 2409
BibRef

Yuan, J.Y.[Jian-Ye], Wang, H.F.[Hao-Fei], Li, M.H.[Ming-Hao], Wang, X.H.[Xiao-Han], Song, W.W.[Wei-Wei], Li, S.[Song], Gong, W.[Wei],
FD-Net: A Single-Stage Fire Detection Framework for Remote Sensing in Complex Environments,
RS(16), No. 18, 2024, pp. 3382.
DOI Link 2410
BibRef

Liu, J.[Jia], Wang, Y.K.[Yu-Kuan], Lu, Y.F.[Ya-Feng], Zhao, P.G.[Peng-Guo], Wang, S.J.[Shun-Jiu], Sun, Y.[Yu], Luo, Y.[Yu],
Application of Remote Sensing and Explainable Artificial Intelligence (XAI) for Wildfire Occurrence Mapping in the Mountainous Region of Southwest China,
RS(16), No. 19, 2024, pp. 3602.
DOI Link 2410
BibRef

He, Y.H.[Yong-Huan], Sahma, A.[Age], He, X.[Xu], Wu, R.[Rong], Zhang, R.[Rui],
FireNet: A Lightweight and Efficient Multi-Scenario Fire Object Detector,
RS(16), No. 21, 2024, pp. 4112.
DOI Link 2411
BibRef

Liu, P.[Pingbo], Zhang, G.[Gui],
A Case Study on the Integration of Remote Sensing for Predicting Complicated Forest Fire Spread,
RS(16), No. 21, 2024, pp. 3969.
DOI Link 2411
BibRef

Abdusalomov, A.[Akmalbek], Umirzakova, S.[Sabina], Shukhratovich, M.B.[Makhkamov Bakhtiyor], Mukhiddinov, M.[Mukhriddin], Kakhorov, A.[Azamat], Buriboev, A.[Abror], Jeon, H.S.[Heung Seok],
Drone-Based Wildfire Detection with Multi-Sensor Integration,
RS(16), No. 24, 2024, pp. 4651.
DOI Link 2501
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Liu, P.[Pingbo], Zhang, G.[Gui],
Forest Fire Discrimination Based on Angle Slope Index and Himawari-8,
RS(17), No. 1, 2025, pp. 142.
DOI Link 2501
BibRef

Goel, A.[Akanksha], Bhende, M.[Manisha], Lal, M.[Mily], Pathak, A.[Abha], Tamrakar, P.[Poi], Thorat, P.[Pallavi], Sharma, S.[Swati],
An Emerging Fire Detection System based on Convolutional Neural Network and Aerial-Based Forest Fire Identification,
ICCVMI23(1-5)
IEEE DOI 2403
Training, Deep learning, Solid modeling, Image edge detection, Fires, Transformers, Real-time systems, Video Surveillance, Segmentation, Object Detection BibRef

Fan, J.A.[Jian-An], Zhan, X.[Xin],
Flame Recognition Algorithm for aerial cruising firefighting Robot based on RGB and improved YOLOv5,
CVIDL23(363-369)
IEEE DOI 2403
Visualization, Image recognition, Service robots, Computational modeling, Atmospheric modeling, Warehousing, Fires, SE attention mechanism BibRef

Hu, Y.[Yue], Ye, X.[Xinan], Liu, Y.F.[Yi-Fei], Kundu, S.[Souvik], Datta, G.[Gourav], Mutnuri, S.[Srikar], Asavisanu, N.[Namo], Ayanian, N.[Nora], Psounis, K.[Konstantinos], Beerel, P.[Peter],
FireFly: A Synthetic Dataset for Ember Detection in Wildfire,
AIHADR23(3767-3771)
IEEE DOI 2401
BibRef