Abstract
Romania is a Carpathian country that experiences an increasing number of wildfire events. The production of a reliable model for the zonation of the monthly forest fire susceptibility degrees with a National scale coverage was the target of the SIAFIM project. Our approach is oriented towards the integration of complementary satellite imagery in the evaluation of forest fire susceptibility with the help of data mining techniques. A complex of ground reflectance calibrated spectral data and vegetation radiometric-biophysical indices is produced at two different scales and spectral resolutions from Sentinel-2 MSI multispectral imagery and Pleiades 1B ortho imagery from the month of August, in the region of Domogled-Valea Cernei, south western Romania. The main objective is the production and the evaluation of the representative indices from the available satellite imagery for the mapping of the forested surfaces sensitive to wildfire hazards. The analysis confirmed the reliability of some indices for the assessment of forest fire susceptibility in temperate regions of Central and Eastern Europe: LAI, SAVI, RedNDVI, Cab. Leaf Area Index (LAI) offer interesting information for the selected forest stands, between 0.06 and 0.2: pine stands on limestone steep slopes, Banat black pine stands and beech on shallow soil.
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Acknowledgements
The research was done in the framework of SIAFIM project (Satellite Image Analysis for Fire Monitoring), 2012–2015, financed by ROSA-Romanian Space Agency and ESA-European Space Agency.
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Mihai, BA., Săvulescu, I., Vîrghileanu, M., Olariu, B. (2019). Evaluation of Sentinel-2 MSI and Pleiades 1B Imagery in Forest Fire Susceptibility Assessment in Temperate Regions of Central and Eastern Europe. A Case Study of Romania. In: Pourghasemi, H., Rossi, M. (eds) Natural Hazards GIS-Based Spatial Modeling Using Data Mining Techniques. Advances in Natural and Technological Hazards Research, vol 48. Springer, Cham. https://doi.org/10.1007/978-3-319-73383-8_11
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