SENTINEL-2 IMAGERY FOR MAPPING AND MONITORING IMPERVIOUSNESS IN URBAN AREAS

Abstract. Nowadays there is need to take the action to find out the innovative solutions to reduce the negative effects of climate change in urban areas. Cities face multiple challenges in water management and flood protection at local scale, especially given an uncertain future climate and a rapidly growing population. The density of impervious surfaces (roofs and pavement) is a key element in evaluating hydrologic processes and occurring the surface runoff – the major component of water cycle in urban catchment. Satellite imagery are powerful and up-to-date data for estimation human impact on urban space. It is also highlighted the possibility of using those results in urban development studies according to adaptation cities to climate change. The Copernicus SENTINEL constellation brings out the potential to provide high quality and free of charge satellites images that enable to estimate parameters related to urban structure and imperviousness. Multitemporal Sentinel-2 data are widely used to calculate the indices for urban sprawl. The normalized difference built-up index (NDBI) and normalized difference vegetation index (NDVI), indicators providing information on urban heat Island effect, are useful for change detection of imperviousness percentage in urban areas. The main objective of this research is fusion of multi-temporal and multi-resolution SENTINEL-2 MSI data for developing a new, innovative approach for improving water management in urban catchments at local scale provide valuable input data for hydrological model. The results obtained were compared by quantitative comparison with Imperviousness HRL of Copernicus Program, visual comparison with OpenStreetMap data as well as qualitative comparison with the high resolution Planet’s.