Unsupervised burned areas detection using multitemporal synthetic aperture radar data
José Victor Orlandi Simões,
Rogerio Galante Negri,
Felipe Nascimento Souza
et al.
Abstract:Climate change is a critical concern that has been greatly affected by human activities, resulting in a rise in greenhouse gas emissions. Its effects have far-reaching impacts on both living and non-living components of ecosystems, leading to alarming outcomes such as a surge in the frequency and severity of fires. This paper presents a data-driven framework that unifies time series of remote sensing images, statistical modeling, and unsupervised classification for mapping fire-damaged areas. To validate the p… Show more
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