Development of Level-2 Data Processing Software for GOCI-II

Abstract

Geostationary Ocean Color Imager II (GOCI-II) ground system is being developed for satellite data reception, processing and distribution, following schedule of GOCI-II launch in March 2020 and six-month In-Orbit Test (IOT) after the launch. Korea Ocean Satellite Center (KOSC) conducted several researches for developing 26 level-2 ocean color algorithms specific to GOCI-II and also implemented the Level-2 Generator (L2Gen), GOCI-II level-2 data processing software. L2Gen is based on the GOCI Data Processing Framework (GOPF) and the Ocean Color application Auto-Acceleration framework (OCAccel) developed by KOSC for efficient data processing. GOPF is available in Python and C++ and provides standardized input/output of GOCI-II and ancillary data to generate the NetCDF file that can be handled by the ESA's Sentinel Application Platform (SNAP). In addition, it is possible to modify the defined variables (e.g. coefficients and thresholds) in each algorithm's configuration file so that the algorithms can be flexibly utilized without the source code modification and rebuilding. OCAccel is available in C++ and automatically translate the sequential source code into the parallelized source code to facilitate General-Purpose Graphical Processing Unit (GPGPU) programming. This makes it easy for users to take advantage of the powerful computing resources of GPU and it is possible to process large-scale data at very high speed.