Pemanfaatan Data Sentinel-1 Dan Sentinel-2 Untuk Deteksi Kegiatn Ilegal Transhipment

Abstract

Indonesian offshores are a region with high shipping activity. Monitoring shipping activity in Indonesian area is crucial for supporting navigation safety, maritime surveillance, and marine resource management. This research aims to utilize Sentinel-1, Sentinel-2, and Automatic Identification System (AIS) data for monitoring ship shipping activity in Bintan waters. Ship detection from Sentinel-1 data is performed using the Constant False Alarm Rate (CFAR) algorithm, which employs a thresholding-based object detection technique and a classification algorithm to identify ships from the water background. Ship detection from Sentinel-2 data is carried out using a visual method to analyze suspected transhipment vessels. AIS data is used as a reference to verify the position and type of detected ships. The research results show that the integration of Sentinel-1, Sentinel-2, and AIS data provides high accuracy in ship identification, including vessels not equipped with AIS. The results of data processing and analysis detected suspected transhipment vessels, with 5 incidents on 13 September 2024, and 7 incidents on 12 November 2024. The data will be used as an initial step by maritime security authorities for further analysis to support informed decision-making.