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 | - |