Fuel type mapping using object-based image analysis of DMC and Landsat-8 OLI imagery |
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| Authors: | A Stefanidou E Dragozi D Stavrakoudis I Z Gitas |
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| Institution: | Faculty of Agriculture, Forestry and Natural Environment, Department of Forestry and Natural Environment, Aristotle University of Thessaloniki, Thessaloniki, Greece |
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| Abstract: | Efficient forest fire management requires precise and up-to-date knowledge regarding the composition and spatial distribution of forest fuels at various spatial and temporal scales. Fuel-type maps are essential for effective fire prevention strategies planning, as well as the alleviation of the environmental impacts of potential wildfire events. The aim of this study was to assess and compare the potential of Disaster Monitoring Constellation and Landsat-8 OLI satellite images (Operational Land Imager), combined with Object-Based Image Analysis (GEOBIA), in operational mapping of the Mediterranean fuel types at a regional scale. The results showcase that although the images of both sensors can be used with GEOBIA analysis for the generation of accurate fuel-type maps, only the OLI images can be considered as applicable for regional mapping of the Mediterranean fuel types on an operational basis. |
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| Keywords: | Remote sensing fuel-type mapping DMC Landsat-8 OLI object-based image analysis |
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