mlsanityData to 7 Oct 2026

Next Day Wildfire Spread: A Machine Learning Data Set to Predict Wildfire Spreading from Remote-Sensing Data

arXiv 2112.02447 ↗First posted 4 Dec 2021cs.CVcited by 41

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Abstract (arXiv)

Predicting wildfire spread is critical for land management and disaster preparedness. To this end, we present `Next Day Wildfire Spread,' a curated, large-scale, multivariate data set of historical wildfires aggregating nearly a decade of remote-sensing data across the United States. In contrast to existing fire data sets based on Earth observation satellites, our data set combines 2D fire data with multiple explanatory variables (e.g., topography, vegetation, weather, drought index, population density) aligned over 2D regions, providing a feature-rich data set for machine learning. To demonstrate the usefulness of this data set, we implement a neural network that takes advantage of the spatial information of this data to predict wildfire spread. We compare the performance of the neural network with other machine learning models: logistic regression and random forest. This data set can be used as a benchmark for developing wildfire propagation models based on remote sensing data for a lead time of one day.

Key facts. Cited by 41 papers in the map (data through 7 Oct 2026). Builds on 4 of its 60 references that are in the map. First posted on arXiv 4 Dec 2021.

Builds on

4 of 60 references.

References · 4

  1. 2014ImageNet Large Scale Visual Recognition Challengecited by 8,441
  2. 2016TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systemscited by 660
  3. 2020A review of machine learning applications in wildfire science and managementcited by 64
  4. 2020Deep Learning Models for Predicting Wildfires from Historical Remote-Sensing Datacited by 14

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 5; 2023: 3; 2024: 6; 2025: 13; 2026: 14.

41 papers.

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  1. 2023CROMA: Remote Sensing Representations with Contrastive Radar-Optical Masked Autoencoderscited by 167
  2. 2022EarthNets: Empowering AI in Earth Observationcited by 40
  3. 2025BRIGHT: A globally distributed multimodal building damage assessment dataset with very-high-resolution for all-weather disaster responsecited by 39
  4. 2025TerraFM: A Scalable Foundation Model for Unified Multisensor Earth Observationcited by 25
  5. 2023Mesogeos: A multi-purpose dataset for data-driven wildfire modeling in the Mediterraneancited by 18
  6. 2022Deep Learning for Global Wildfire Forecastingcited by 11
  7. 2024CaBuAr: California Burned Areas dataset for delineationcited by 9
  8. 2022Location-aware Adaptive Normalization: A Deep Learning Approach For Wildfire Danger Forecastingcited by 7
  9. 2025Improved Wildfire Spread Prediction with Time-Series Data and the WSTS+ Benchmarkcited by 7
  10. 2024Sen2Fire: A Challenging Benchmark Dataset for Wildfire Detection using Sentinel Datacited by 6
  11. 2024TS-SatFire: A Multi-Task Satellite Image Time-Series Dataset for Wildfire Detection and Predictioncited by 5
  12. 2022Collaborative Auto-Curricula Multi-Agent Reinforcement Learning with Graph Neural Network Communication Layer for Open-ended Wildfire-Management Resource Distributioncited by 3
29 more
  1. 2026U-Net with Hadamard Transform and DCT Latent Spaces for Next-day Wildfire Spread Predictioncited by 3
  2. 2022Reconstruction of Incomplete Wildfire Data using Deep Generative Modelscited by 2
  3. 2024A Staged Deep Learning Approach to Spatial Refinement in 3D Temporal Atmospheric Transportcited by 2
  4. 2025Towards Scalable Foundation Model for Multi-modal and Hyperspectral Geospatial Datacited by 2
  5. 2026Conformal Risk Control for Safety-Critical Wildfire Evacuation Mapping: A Comparative Study of Tabular, Spatial, and Graph-Based Modelscited by 2
  6. 2026FireSenseNet: A Dual-Branch CNN with Cross-Attentive Feature Interaction for Next-Day Wildfire Spread Predictioncited by 2
  7. 2024Off to new Shores: A Dataset & Benchmark for (near-)coastal Flood Inundation Forecastingcited by 1
  8. 2024Advanced Wildfire Prediction in Morocco: Developing a Deep Learning Dataset from Multisource Observationscited by 1
  9. 2025Wildfire spread forecasting with Deep Learningcited by 1
  10. 2025California Wildfire Inventory (CAWFI): An Extensive Dataset for Predictive Techniques based on Artificial Intelligencecited by 1
  11. 2023Exploring and Analyzing Wildland Fire Data Via Machine Learning Techniquescited by 0
  12. 2025Comparing Next-Day Wildfire Predictability of MODIS and VIIRS Satellite Datacited by 0
  13. 2025CanadaFireSat: Toward high-resolution wildfire forecasting with multiple modalitiescited by 0
  14. 2025Leveraging Advanced Machine Learning to Predict Turbulence Dynamics from Temperature Observations at an Experimental Prescribed Firecited by 0
  15. 2025Advancing Wildfire Risk Prediction via Morphology-Aware Curriculum Contrastive Learningcited by 0
  16. 2025Assessment of deep learning models integrated with weather and environmental variables for wildfire spread prediction and a case study of the 2023 Maui firescited by 0
  17. 2025Fire-EnSF: Wildfire Spread Data Assimilation using Ensemble Score Filtercited by 0
  18. 2025GraphFire-X: Physics-Informed Graph Attention Networks and Structural Gradient Boosting for Building-Scale Wildfire Preparedness at the Wildland-Urban Interfacecited by 0
  19. 2026Wildfire Spread Scenarios: Increasing Sample Diversity of Segmentation Diffusion Models with Training-Free Methodscited by 0
  20. 2026Enabling Real-Time Training of a Wildfire-to-Smoke Map with Multilinear Operatorscited by 0
  21. 2026Survey on Disaster Management Datasets for Remote Sensing Based Emergency Applicationscited by 0
  22. 2026Set Prediction for Next-Day Active Fire Forecastingcited by 0
  23. 2026PyroAdapt: Adapting Wildfire Prediction under Spatial Heterogeneity and Temporal Shiftcited by 0
  24. 2026ShearFuse-UNet: Hadamard, DCT, and Shearlet Transform Fusion for Next-Day Wildfire Spread Predictioncited by 0
  25. 2026Data-Driven Fire-Zone Segmentation for Improved Short-Term Wildfire Predictioncited by 0
  26. 2026Modular Deep Learning Mechanisms for Auditable Next-Day Wildfire Spread Predictioncited by 0
  27. 2026Interpretable Patch-Based Deep Learning for Wildfire Spread Prediction from Ensemble Simulationscited by 0
  28. 2026WildfireSpreadBench: The Metric Decides the Model in Wildfire Spread Predictioncited by 0
  29. 2026PyroStack: A Multi-Band Spatio-Temporal Sub-Daily Dataset for Wildfires in the United Statescited by 0