천리안해양관측위성 자료 처리 시스템 1.4 개선 및 재처리 시스템 소개

Title
천리안해양관측위성 자료 처리 시스템 1.4 개선 및 재처리 시스템 소개
Alternative Title
VERSION 1.4 UPDATE IN GOCI DATA PROCESSING SYSTEM (GDPS) AND INTRODUCTION OF GOCI DATA REPROCESSING SYSTEM (GDRS)
Author(s)
양현; 김남수; 유정미; 한희정; 박영제; 안유환
KIOST Author(s)
Yang, Hyun(양현)Park, Young Je(박영제)
Publication Year
2016-04-21
Abstract
In this paper, we summarized the next version 1.4 of GDPS which is an exclusive software system to process the Geostationary Ocean Color Imager (GOCI) data in real-time and interactively. This update was focused on applying the software modulization to GDPS. The software modulization is a kind of software design technique, separating each function into mutually independent modules. The existing GDPS caused inefficient processing environments because the processing functions were not separated. For example, it was impossible to process a function of chlorophyll concentration estimation except for the atmospheric correction, although we hope to obtain just a chlorophyll concentration product. To resolve this problem, we are planning to support each separated functions for all of products of GDPS to the end users. At the same time, we refined the FLAG viewer and fixed some trivial bugs. Finally, in this paper, we introduced the GOCI Data Reprocessing System (GDRS), which was developed to efficiently process mass GOCI data.ulization to GDPS. The software modulization is a kind of software design technique, separating each function into mutually independent modules. The existing GDPS caused inefficient processing environments because the processing functions were not separated. For example, it was impossible to process a function of chlorophyll concentration estimation except for the atmospheric correction, although we hope to obtain just a chlorophyll concentration product. To resolve this problem, we are planning to support each separated functions for all of products of GDPS to the end users. At the same time, we refined the FLAG viewer and fixed some trivial bugs. Finally, in this paper, we introduced the GOCI Data Reprocessing System (GDRS), which was developed to efficiently process mass GOCI data.
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/24879
Bibliographic Citation
International Symposium on Remote Sensing 2016, pp.1 - 4, 2016
Publisher
Korean Society of Remote Sensing
Type
Conference
Language
English
Publisher
Korean Society of Remote Sensing
Related Researcher
Research Interests

Ocean Color Remote Sensing,Satellite Applications,Ocean color Algorithm,해양원격탐사,위성활용,해색 알고리즘

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