Sen2Fire: A Challenging Benchmark Dataset for Wildfire Detection using Sentinel Data

arXiv:2403.17884v1 Announce Type: new
Abstract: Utilizing satellite imagery for wildfire detection presents substantial potential for practical applications. To advance the development of machine learning algorithms in this domain, our study introduces the \textit{Sen2Fire} dataset--a challenging satellite remote sensing dataset tailored for wildfire detection. This dataset is curated from Sentinel-2 multi-spectral data and Sentinel-5P aerosol product, comprising a total of 2466 image patches. Each patch has a size of 512$\times$512 pixels with 13 bands. Given the distinctive sensitivities of various wavebands …

arxiv benchmark cs.cv data dataset detection sentinel type wildfire