SAR-BASED COASTLINE DETECTION AND MONITORING

Abstract. The coastal environment is among the most fragile regions on our planet. Its efficient monitoring crucial to properly manage human and natural resources located in this where a large portion of population lives. objective contribution design develop new set methods suitable for detecting tracking coastline. Synthetic aperture radar (SAR) technology chosen because characteristic response from water acquisition consistency allowed by constant illumination, day-and-night, all-weather functioning. proposed iterative detection method based superpixel segmentation. resulting superpixels are filtered then partitioned land classes their median backscattering with Otsu’s algorithm. rationale that segmentation can follow coastline before filtering degrade spatial resolution. A quantitative assessment results measures distance manually-detected shoreline Lizard Island case study; average 12.63 m, 80% sampled points within 20 m. innovative process exploits SAR analyzing long time series. After season-wise grouping, land-water index introduced erase oscillation caused different sea states. modeled pixel basis. visualization technique HSV codification color space highlights when changes happened. study carried out over Reentrancias Maranhenses area. quality shows good accordance optical data depicts region’s dynamic.