Automated Identification of Soil Sealing Hotspots Based on Sentinel-2 Time-Series

Abstract

Free and open satellite data that are acquired at a high temporal frequency offer promising possibilities to conduct regular, automated surveys of newly sealed surfaces when combined together with Web-and cloud-based systems. The semantic EO data cube, Sen2Cube.at, facilitates browserbased access to temporally dense Sentinel-2 satellite imagery and endeavors to reduce barriers to conduct analysis. Such a system leverages temporally dense time-series, thus is a promising solution to supplement other soil sealing assessments that have a higher spatial resolution, but that are limited in their temporal resolution. Examples demonstrate how such a system can contribute to regular, automated soil sealing assessment.