Monitoring The Sea Surface Temperature and Total Suspended Matter Based on Cloud-Computing Platform of Google Earth Engine and Open-Source Software

Abstract

Abstract The sea surface temperature and total suspended matter is important for fisheries industry to increase the opportunity to catch the fish. Traditional methods to monitor this phenomenon is by using the remote sensing techniques. However, conventional remote sensing methods is need higher computer specifications as well as larger space of hard disk drive and commercial software to process the datasets. The availability of cloud-computing platform such as Google Earth Engine that available free for public will provide benefit for researcher to increase the efficiency and effectivity of large-scale imageries processing. This study proposed the sate-of-the-art cloud-computing platform of GEE to monitor and map the sea surface temperature and total suspended matter for long periods of analysis of Timor Sea, Van Diemen Gulf, and Beagle Gulf, Australia. In total there more than 600 images of Landsat 8 Collection 1 Tier 1 calibrated top-of-atmosphere (TOA) reflectance is used and obtained within the GEE platform. The Radiative transfer equation (RTE) method is used to extract the surface temperature. To extract the total suspended matter, the Sentinel-3 Ocean and Land Color Instrument Earth Observation Full Resolution (OLCI EFR) is used. The Case-2 Regional CoastColour (C2RCC) processor within the SentiNel Application Platform (SNAP) software is used. The result show that the GEE platform is successfully captured the dynamic sea surface temperature as well as the total suspended matter with high efficiency in term of time and hard disk drive consumption.