Shoreline Dynamics in East Java Province, Indonesia, from 2000 to 2019 Using Multi-Sensor Remote Sensing Data

Coastal regions are one of the most vulnerable areas to effects global warming, which is accompanied by an increase in mean sea level and changing shoreline configurations. In Indonesia, socioeconomic importance coastal where populated cities located high. However, changes Indonesia relatively understudied. particular, detailed monitoring with remote sensing data lacking despite abundance datasets availability easily accessible cloud computing platforms such as Google Earth Engine that able perform multi-temporal multi-sensor mapping. Our study aimed assess East Java Province from 2000 2019 using variables derived a combination optical (Landsat-7 ETM Landsat-8 OLI) radar (ALOS Palsar Sentinel-1 data). Random forest GMO maximum entropy (GMO-Maxent) accuracy was assessed for classification land water, polygons best algorithm were used deriving shorelines. addition, quantified Digital Shoreline Analysis System (DSAS). results showed accretion more profound than erosion average rates change +4.12 (end point rate, EPR) +4.26 m/year (weighted linear WLR) 2019. some parts shorelines area experienced massive changes, especially deltas Bengawan Solo Brantas/Porong river (EPR) between −87.44 +89.65 −18.98 +111.75 m/year, respectively. areas, happened mostly mangrove aquaculture while accreted areas. The this require better mitigate potential risks manage sedimentation.