{"total":62,"rows":[{"id":"2112.02447","title":"Next Day Wildfire Spread: A Machine Learning Data Set to Predict Wildfire Spreading from Remote-Sensing Data","created":"2021-12-04","cited_by_count":42,"area":null},{"id":"2401.02456","title":"A comprehensive survey of research towards AI-enabled unmanned aerial systems in pre-, active-, and post-wildfire management","created":"2024-01-04","cited_by_count":25,"area":null},{"id":"2112.00570","title":"Toward Foundation Models for Earth Monitoring: Proposal for a Climate Change Benchmark","created":"2021-12-01","cited_by_count":22,"area":null},{"id":"2306.05144","title":"Mesogeos: A multi-purpose dataset for data-driven wildfire modeling in the Mediterranean","created":"2023-06-08","cited_by_count":19,"area":null},{"id":"2111.02736","title":"Deep Learning Methods for Daily Wildfire Danger Forecasting","created":"2021-11-04","cited_by_count":17,"area":null},{"id":"2502.17701","title":"From Perceptions to Decisions: Wildfire Evacuation Decision Prediction with Behavioral Theory-informed LLMs","created":"2025-02-24","cited_by_count":12,"area":null},{"id":"2211.00534","title":"Deep Learning for Global Wildfire Forecasting","created":"2022-11-01","cited_by_count":11,"area":null},{"id":"2306.10940","title":"TeleViT: Teleconnection-driven Transformers Improve Subseasonal to Seasonal Wildfire Forecasting","created":"2023-06-19","cited_by_count":11,"area":null},{"id":"2206.08523","title":"A Spatio-Temporal Neural Network Forecasting Approach for Emulation of Firefront Models","created":"2022-06-17","cited_by_count":9,"area":null},{"id":"2308.02810","title":"A generative model for surrogates of spatial-temporal wildfire nowcasting","created":"2023-08-05","cited_by_count":8,"area":null},{"id":"2212.08208","title":"Location-aware Adaptive Normalization: A Deep Learning Approach For Wildfire Danger Forecasting","created":"2022-12-16","cited_by_count":7,"area":null},{"id":"2502.01550","title":"FireCastNet: Earth-as-a-Graph for Seasonal Fire Prediction","created":"2025-02-03","cited_by_count":7,"area":null},{"id":"2401.11582","title":"Thermal Image Calibration and Correction using Unpaired Cycle-Consistent Adversarial Networks","created":"2024-01-21","cited_by_count":5,"area":null},{"id":"2111.00345","title":"Multi-Agent Advisor Q-Learning","created":"2021-10-26","cited_by_count":4,"area":null},{"id":"2210.16411","title":"Recurrent Convolutional Deep Neural Networks for Modeling Time-Resolved Wildfire Spread Behavior","created":"2022-10-28","cited_by_count":4,"area":null},{"id":"2311.03339","title":"FLOGA: A machine learning ready dataset, a benchmark and a novel deep learning model for burnt area mapping with Sentinel-2","created":"2023-11-06","cited_by_count":4,"area":null},{"id":"2503.14150","title":"Comparative and Interpretative Analysis of CNN and Transformer Models in Predicting Wildfire Spread Using Remote Sensing Data","created":"2025-03-18","cited_by_count":4,"area":null},{"id":"2509.25017","title":"Uncertainty-Aware Deep Learning for Wildfire Danger Forecasting","created":"2025-09-29","cited_by_count":4,"area":null},{"id":"2204.11350","title":"Collaborative Auto-Curricula Multi-Agent Reinforcement Learning with Graph Neural Network Communication Layer for Open-ended Wildfire-Management Resource Distribution","created":"2022-04-24","cited_by_count":3,"area":null},{"id":"2210.03324","title":"AutoML for Climate Change: A Call to Action","created":"2022-10-07","cited_by_count":3,"area":null},{"id":"2404.01487","title":"Explainable AI Integrated Feature Engineering for Wildfire Prediction","created":"2024-04-01","cited_by_count":3,"area":null},{"id":"2411.09844","title":"Deep Autoencoders for Unsupervised Anomaly Detection in Wildfire Prediction","created":"2024-11-14","cited_by_count":3,"area":null},{"id":"2603.22331","title":"Conformal Risk Control for Safety-Critical Wildfire Evacuation Mapping: A Comparative Study of Tabular, Spatial, and Graph-Based Models","created":"2026-03-20","cited_by_count":3,"area":null},{"id":"2209.10102","title":"Multi-time Predictions of Wildfire Grid Map using Remote Sensing Local Data","created":"2022-09-15","cited_by_count":2,"area":null},{"id":"2310.01593","title":"Prescribed Fire Modeling using Knowledge-Guided Machine Learning for Land Management","created":"2023-10-02","cited_by_count":2,"area":null},{"id":"2109.05083","title":"Preliminary Wildfire Detection Using State-of-the-art PTZ (Pan, Tilt, Zoom) Camera Technology and Convolutional Neural Networks","created":"2021-09-10","cited_by_count":1,"area":null},{"id":"2111.14038","title":"Learning Wildfire Model from Incomplete State Observations","created":"2021-11-28","cited_by_count":1,"area":null},{"id":"2208.09079","title":"A Multi-Modal Wildfire Prediction and Personalized Early-Warning System Based on a Novel Machine Learning Framework","created":"2022-08-18","cited_by_count":1,"area":null},{"id":"2305.06139","title":"A Neural Emulator for Uncertainty Estimation of Fire Propagation","created":"2023-05-10","cited_by_count":1,"area":null},{"id":"2306.05045","title":"Spain on Fire: A novel wildfire risk assessment model based on image satellite processing and atmospheric information","created":"2023-06-08","cited_by_count":1,"area":null},{"id":"2308.03164","title":"FireFly A Synthetic Dataset for Ember Detection in Wildfire","created":"2023-08-06","cited_by_count":1,"area":null},{"id":"2311.16187","title":"Modelling wildland fire burn severity in California using a spatial Super Learner approach","created":"2023-11-25","cited_by_count":1,"area":null},{"id":"2411.06202","title":"Advanced Wildfire Prediction in Morocco: Developing a Deep Learning Dataset from Multisource Observations","created":"2024-11-09","cited_by_count":1,"area":null},{"id":"2504.18562","title":"Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction","created":"2025-04-20","cited_by_count":1,"area":null},{"id":"2505.17556","title":"Wildfire spread forecasting with Deep Learning","created":"2025-05-23","cited_by_count":1,"area":null},{"id":"2506.02485","title":"Generative AI as a Pillar for Predicting 2D and 3D Wildfire Spread: Beyond Physics-Based Models and Traditional Deep Learning","created":"2025-06-03","cited_by_count":1,"area":null},{"id":"2509.21327","title":"Assessment of deep learning models integrated with weather and environmental variables for wildfire spread prediction and a case study of the 2023 Maui fires","created":"2025-09-05","cited_by_count":1,"area":null},{"id":"2512.00089","title":"TeleViT1.0: Teleconnection-aware Vision Transformers for Subseasonal to Seasonal Wildfire Pattern Forecasts","created":"2025-11-26","cited_by_count":1,"area":null},{"id":"2606.11676","title":"Neural-Parameterized Cellular Automata for Wildfire Spread","created":"2026-06-10","cited_by_count":1,"area":null},{"id":"2606.20693","title":"Spatio-Temporal Wildfire Spread Prediction in Canada using a Video Swin-Hybrid-U-Net and Satellite Imagery","created":"2026-06-15","cited_by_count":1,"area":null},{"id":"2608.12663","title":"Evaluating AlphaEarth Foundations Embeddings for Wildfire Susceptibility Mapping","created":"2026-08-12","cited_by_count":1,"area":null},{"id":"2301.11153","title":"Learning from Multiple Independent Advisors in Multi-agent Reinforcement Learning","created":"2023-01-26","cited_by_count":0,"area":null},{"id":"2303.17062","title":"Ideal Abstractions for Decision-Focused Learning","created":"2023-03-29","cited_by_count":0,"area":null},{"id":"2307.15727","title":"AI for Anticipatory Action: Moving Beyond Climate Forecasting","created":"2023-07-28","cited_by_count":0,"area":null},{"id":"2403.13545","title":"Next day fire prediction via semantic segmentation","created":"2024-03-20","cited_by_count":0,"area":null},{"id":"2404.03754","title":"Data Science for Geographic Information Systems","created":"2024-04-04","cited_by_count":0,"area":null},{"id":"2408.10271","title":"Data-Driven Fire Modeling: Learning First Arrival Times and Model Parameters with Neural Networks","created":"2024-08-16","cited_by_count":0,"area":null},{"id":"2412.01400","title":"Fire-Image-DenseNet (FIDN) for predicting wildfire burnt area using remote sensing data","created":"2024-12-02","cited_by_count":0,"area":null},{"id":"2503.05971","title":"A Real-time Multimodal Transformer Neural Network-powered Wildfire Forecasting System","created":"2025-03-07","cited_by_count":0,"area":null},{"id":"2506.08690","title":"CanadaFireSat: Toward high-resolution wildfire forecasting with multiple modalities","created":"2025-06-10","cited_by_count":0,"area":null},{"id":"2507.11012","title":"Leveraging Advanced Machine Learning to Predict Turbulence Dynamics from Temperature Observations at an Experimental Prescribed Fire","created":"2025-07-15","cited_by_count":0,"area":null},{"id":"2510.27443","title":"MVeLMA: Multimodal Vegetation Loss Modeling Architecture for Predicting Post-fire Vegetation Loss","created":"2025-10-31","cited_by_count":0,"area":null},{"id":"2512.03257","title":"PyroFocus: A Deep Learning Approach to Real-Time Wildfire Detection in Multispectral Remote Sensing Imagery","created":"2025-12-02","cited_by_count":0,"area":null},{"id":"2512.20813","title":"GraphFire-X: Physics-Informed Graph Attention Networks and Structural Gradient Boosting for Building-Scale Wildfire Preparedness at the Wildland-Urban Interface","created":"2025-12-23","cited_by_count":0,"area":null},{"id":"2601.01677","title":"Trustworthy Data-Driven Wildfire Risk Prediction and Understanding in Western Canada","created":"2026-01-04","cited_by_count":0,"area":null},{"id":"2603.25469","title":"Operational evaluation of data-driven forest fire forecasting models","created":"2026-03-26","cited_by_count":0,"area":null},{"id":"2603.26975","title":"Probabilistic Forecasting of Localized Wildfire Spread Based on Conditional Flow Matching","created":"2026-03-27","cited_by_count":0,"area":null},{"id":"2605.12435","title":"PyroAdapt: Adapting Wildfire Prediction under Spatial Heterogeneity and Temporal Shift","created":"2026-05-12","cited_by_count":0,"area":null},{"id":"2605.15894","title":"Uncertainty-Aware Wildfire Smoke Density Classification from Satellite Imagery via CBAM-Augmented EfficientNet with Evidential Deep Learning","created":"2026-05-15","cited_by_count":0,"area":null},{"id":"2606.13633","title":"Aerial Wildfire Suppression Planning with a Hybrid CNN-Cellular Automata Fire Model","created":"2026-06-11","cited_by_count":0,"area":null},{"id":"2609.01675","title":"Random Forest-Informed Cellular Automaton for Large-Scale Wildfire Spread Modelling","created":"2026-09-01","cited_by_count":0,"area":null},{"id":"2609.36315","title":"PyroStack: A Multi-Band Spatio-Temporal Sub-Daily Dataset for Wildfires in the United States","created":"2026-09-28","cited_by_count":0,"area":null}],"next_cursor":null}