Risultati per " Remote sensing"

Remote sensing methods for burnout mapping and burn severity evaluation. The case of Trieste and Gorizia karst area in the summer of 2022. – Human beings are the principal agents of forest fires. In Friuli Venezia Giulia more than 90% of fires are of arson origin although the fire development and impact depend on land cover and weather conditions. During the second half of 2022, a serious fire broke out in Doberdò del Lago and blazed for a good ten days in a transnational karst area among Trieste, Gorizia and Sezana. During the fire, over 4000 hectares of forest went up in smoke. This paper shows the use of Remote Sensing methodology in a GIS environment to measure the effects of the fire, i.e. to map the burnt area. The 2022 event has been assessed by elaborating some pre and post fire ESA Sentinel 2 imagery (Copernicus project). The authors mapped the burnt areas and compared the result with the official mapping, surveyed in the field by the public authorities. They also made a spatial evaluation