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http://dx.doi.org/10.11108/kagis.2019.22.4.215

A Study on Data Processing Technology based on a open source R to improve utilization of the Geostationary Ocean Color Imager(GOCI) Products  

OH, Jung-Hee (Marine Bigdata Center, Korea Institutue of Ocean Science & Technology)
CHOI, Hyun-Woo (Marine Bigdata Center, Korea Institutue of Ocean Science & Technology)
LEE, Chol-Young (Marine Bigdata Center, Korea Institutue of Ocean Science & Technology)
YANG, Hyun (Korea Ocean Satellite Center, Korea Institutue of Ocean Science & Technology)
HAN, Hee-Jeong (Korea Ocean Satellite Center, Korea Institutue of Ocean Science & Technology)
Publication Information
Journal of the Korean Association of Geographic Information Studies / v.22, no.4, 2019 , pp. 215-228 More about this Journal
Abstract
HDF5 data format is used to effectively store and distribute large volume of Geostationary Ocean Color Imager(GOCI) satellite data. The Korea Ocean Satellite Center has developed and provided a GOCI Data Processing System(GDPS) for general users who are not familiar with HDF5 format. Nevertheless, it is not easy to merge and process Hierarchical Data Format version5(HDF5) data that requires an understanding of satellite data characteristics, needs to learn how to use GDPS, and stores location and attribute information separately. Therefore, the open source R and rhdf5, data.table, and matrixStats packages were used to develop algorithm that could easily utilize satellite data in HDF5 format without the need for the process of using GDPS.
Keywords
GOCI; HDF5; Open Source; R; rhdf5;
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