Forest wildfires represent one of the catastrophic events that, over the last decades, have caused huge environmental and humanitarian damage. In addition to a significant amount of carbon dioxide emission, they are a source of risk to society in both short-term (e.g., temporary city evacuation due to fire) and long-term (e.g., higher risks of landslides) cases. Consequently, the availability of tools to support local authorities in automatically identifying burned areas plays an important role in the continuous monitoring requirement to alleviate the aftereffects of such catastrophic events. The great availability of satellite acquisitions coupled with computer vision techniques represents an important step in developing such tools.

CaBuAr: California burned areas dataset for delineation [Software and Data Sets] / Rege Cambrin, Daniele; Colomba, Luca; Garza, Paolo. - In: IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE. - ISSN 2168-6831. - 11:3(2023), pp. 106-113. [10.1109/MGRS.2023.3292467]

CaBuAr: California burned areas dataset for delineation [Software and Data Sets]

Rege Cambrin, Daniele;Colomba, Luca;Garza, Paolo
2023

Abstract

Forest wildfires represent one of the catastrophic events that, over the last decades, have caused huge environmental and humanitarian damage. In addition to a significant amount of carbon dioxide emission, they are a source of risk to society in both short-term (e.g., temporary city evacuation due to fire) and long-term (e.g., higher risks of landslides) cases. Consequently, the availability of tools to support local authorities in automatically identifying burned areas plays an important role in the continuous monitoring requirement to alleviate the aftereffects of such catastrophic events. The great availability of satellite acquisitions coupled with computer vision techniques represents an important step in developing such tools.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2980662