천리안해양관측위성 자료 처리 시스템 1.4 개선 및 재처리 시스템 소개

DC Field Value Language
dc.contributor.author 양현 -
dc.contributor.author 김남수 -
dc.contributor.author 유정미 -
dc.contributor.author 한희정 -
dc.contributor.author 박영제 -
dc.contributor.author 안유환 -
dc.date.accessioned 2020-07-15T21:53:19Z -
dc.date.available 2020-07-15T21:53:19Z -
dc.date.created 2020-02-11 -
dc.date.issued 2016-04-21 -
dc.identifier.uri https://sciwatch.kiost.ac.kr/handle/2020.kiost/24879 -
dc.description.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. -
dc.description.uri 1 -
dc.language English -
dc.publisher Korean Society of Remote Sensing -
dc.relation.isPartOf International Symposium on Remote Sensing 2016 -
dc.title 천리안해양관측위성 자료 처리 시스템 1.4 개선 및 재처리 시스템 소개 -
dc.title.alternative VERSION 1.4 UPDATE IN GOCI DATA PROCESSING SYSTEM (GDPS) AND INTRODUCTION OF GOCI DATA REPROCESSING SYSTEM (GDRS) -
dc.type Conference -
dc.citation.conferencePlace KO -
dc.citation.endPage 4 -
dc.citation.startPage 1 -
dc.citation.title International Symposium on Remote Sensing 2016 -
dc.contributor.alternativeName 양현 -
dc.contributor.alternativeName 유정미 -
dc.contributor.alternativeName 한희정 -
dc.contributor.alternativeName 박영제 -
dc.identifier.bibliographicCitation International Symposium on Remote Sensing 2016, pp.1 - 4 -
dc.description.journalClass 1 -
Appears in Collections:
Marine Digital Resources Department > Korea Ocean Satellite Center > 2. Conference Papers
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