Optimization of Drone for Coastline Mapping

Coastline mapping outermost and smallest islands of Indonesia needed to make optimal maritime baseline for maritime boundary. Coastline information usually obtained from satellite imagery which commonly lacking renewal and has low spatial resolution and not referenced to tidal data. Therefore, the utilization of drone could improve the quality of coastline mapping in terms of time and cost consumed. This research discusses how optimal the drone is in carrying out coastal mapping. The type of drone that is deployed in this research is the DJI Phantom 4 Pro, with an accuracy equivalent to handheld GPS device. The coastline extracted by delineating digitally classified orthophoto. Coastline correction carried out using fixed water level from TPXO9 tidal model and coastal slope data. Drone mapping optimization discuss from coastline accuracy, coastline determination method, coastline validating and future recommendations. The mapping process yields four coastlines: HAT, LAT, MSL, and Chart Datum. The coastline obtained in this study satisfies the standards specified in IHO S-44, 6th edition and is categorized in the special-order category. This research result coastline with spatial resolution of 2 cm fit in map scale of 1:1,000. The coastline has also been referenced with tidal data. It is concluded that the mapping process using drone that relies on the accuracy of handheld GPS devices, with the help of TPXO9 tidal model data, is considered optimal to extract coastline from a given location. However, further acquisition of on-site tidal data and control points is recommended.