Overview

Wildfire detection studies how to identify active flames, thermal anomalies, and smoke from satellites, aircraft, and UAVs, often before fires appear in routine reports. Methods range from thresholding and gradient-boosted classifiers to CNN, YOLO, and U-Net models, pretrained representations, and weakly supervised learning; they use thermal, multispectral, and RGB data, with compact versions designed to run onboard satellites or drones. Benchmarks test transfer across incidents and regions, severe class imbalance, nighttime performance, and RGB-thermal reasoning, while robotic and satellite systems explore coordination under power, bandwidth, and latency limits. Reliable early detection remains difficult in smoke, unfamiliar regions, and rare-fire conditions: larger models and synthetic data do not guarantee generalization, so careful validation and operational reliability are central concerns.

Latest papers

CardsList

20 papers4 papers in the last four weeks, level with the four weeks before. 0.0% of all new papers.

  1. AI4Fire: Evaluating Large Language Models on Wildfire Tasks

    Oct 7, 2026Yue Zhao, Zuobin Xiong, Xiyang Hu +3LLM EvaluationLLM Grounding

  2. SigLIP2 for aerial fire risk classification

    Oct 2, 2026Yunus Serhat BıçakçıImage ClassificationWildfire Detection

  3. Comparing a gradient boosting algorithm to the GOES FDC for wildfire detection

    Oct 1, 2026Asaf Vanunu, Boaz Nadler, Arnon KarnieliGradient-Boosted Decision TreesWildfire Detection

  4. WISE: A Lightweight, Weakly-Supervised Model for Onboard Fire Smoke Detection and Localization

    Sep 16, 2026Sha Lu, Yu Sun, Liang Zhao +6Wildfire DetectionRemote Sensing

  5. A Sentinel-2 benchmark dataset for deep-learning active-fire segmentation across 25 California wildfires, July 2020-August 2026

    Sep 14, 2026Shreyan Mitra, Mohammadreza Narimani, Parastoo FarajpoorImage SegmentationRemote Sensing Image Segmentation

  6. D3ARC: Time-Critical Distributed Disaster Detection for Asynchronous Cooperative Multi-Robot Systems

    Sep 7, 2026Nikolaos Koursioumpas, Lina Magoula, Nancy Alonistioti +1Multi-Robot SystemsWildfire Detection

  7. FractalNet-Based Heterogeneous Federated Learning for Orbital Edge Intelligence in Satellite Mega-Constellations: A Wildfire Case Study

    Sep 1, 2026Sai Puppala, Bhabani P. Sinha, Koushik SinhaHierarchical Federated LearningWildfire Detection

  8. Impact of Dataset Composition on Embedded Real-Time UAV Wildfire Detection Using Compact YOLO Models

    Aug 1, 2026Eduardo de los Santos, Andre S. Kelbouscas, Ricardo B. Grando +1Synthetic Data AugmentationWildfire Detection

  9. Spectral-Morphological Attention U-Net: An Efficient Network for Active Wildfire Detection

    Jul 17, 2026Yugong Zeng, Jonathan WuRemote Sensing Image SegmentationWildfire Detection

  10. FlameVQA: A Physically-Grounded UAV Wildfire VQA Benchmark with Radiometric Thermal Supervision

    Jun 25, 2026Mobin Habibpour, John Spodnik, Niloufar Alipour Talemi +1VLM EvaluationVisual Question Answering

  11. ED3R: Energy-Aware Distributed Disaster Detection via Cooperative Agents in Robotic Systems

    Jun 16, 2026Lina Magoula, Nikolaos Koursioumpas, Nancy Alonistioti +1Wildfire DetectionRobot Task Planning

  12. A Large Scale Open-Source Image and Video Dataset for Robust Wildfire Detection and Classification

    Jun 8, 2026Emadeldeen Hamdan, Yingyi Luo, B. Ugur Toreyin +4Wildfire DetectionCross-Dataset Generalization

  13. veriFIRE: an Industrial Case Study in Verifying Consistency Properties for a DNN-Based Wildfire Detection System

    Jun 2, 2026Idan Refaeli, Maya Swisa, Itay Buchnik +5Neural Network VerificationWildfire Detection

  14. On-Orbit Real-Time Wildfire Detection Under On-Board Constraints

    May 7, 2026Matthias Rötzer, Veronika Pörtge, Martin Ickerott +6Efficient Neural Network InferenceWildfire Detection

  15. AusSmoke meets MultiNatSmoke: a fully-labelled diverse smoke segmentation dataset

    Apr 26, 2026Weihao Li, Hongjin Zhao, Gao Zhu +4Wildfire DetectionRemote Sensing

  16. WildFireVQA: A Large-Scale Radiometric Thermal VQA Benchmark for Aerial Wildfire Monitoring

    Apr 22, 2026Mobin Habibpour, Niloufar Alipour Talemi, John Spodnik +2Thermal ImagingVisual Question Answering

  17. Thermal Anomaly Detection using Physics Aware Neuromorphic Networks: Comparison between Raw and L1C Sentinel-2 Data

    Apr 10, 2026Stephen Smith, Cormac Purcell, Gabriele Meoni +2Anomaly DetectionPhysics-Informed ML

  18. Governance-Constrained Agentic AI: Blockchain-Enforced Human Oversight for Safety-Critical Wildfire Monitoring

    Apr 5, 2026Ali Akarma, Toqeer Ali Syed, Salman Jan +2Human Oversight of AIAI Agent Governance

  19. Generating Satellite Imagery Data for Wildfire Detection through Mask-Conditioned Generative AI

    Apr 2, 2026Valeria Martin, K. Brent Venable, Derek MorganSynthetic Data AugmentationConditional Image Generation