March 4, 2022, 2:11 a.m. | Fantine Huot, R. Lily Hu, Nita Goyal, Tharun Sankar, Matthias Ihme, Yi-Fan Chen

cs.CV updates on arXiv.org arxiv.org

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 …

arxiv cv data learning machine machine learning remote remote-sensing sensing

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