AN INCREASED REMOTE SENSING OBSERVATION BY GOCI DAILY COMPOSITE IMAGE SCIE SCOPUS

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Title
AN INCREASED REMOTE SENSING OBSERVATION BY GOCI DAILY COMPOSITE IMAGE
Author(s)
Yang, Hyun; Kim, Wonkook; Kim, Kwangseok; Paik, Young-Je; Han, Hee-Jeong; Ryu, Joo-Hyung
KIOST Author(s)
Yang, Hyun(양현)Park, Young Je(박영제)Ryu, Joo Hyung(유주형)
Publication Year
2016-12
Abstract
Opaque masses (e.g., cloud and haze) are the main obstacles interrupting remote observations of ocean color using optical sensors. We performed a statistical analysis for 1 year of ocean color data derived from the Geostationary Ocean Color Imager (GOCI), which performs eight observations per day. We discovered that the valid ranges of the data vary depending on the local times and the seasonal characteristics and are related to the pattern of solar altitudes to a certain degree. Here, it is shown that multiple ocean color scenes observed on a given day can be merged to recover the contaminated areas. However, merging multiple ocean color scenes from heterogeneous sensors (e.g., MODIS, SeaWiFS, and MERIS) for a given day takes considerable effort. In contrast, multiple scenes from a single sensor such as GOCI can be merged with a relatively simple approach such as averaging. Here, we focus on how much unavailable data can be recovered quantitatively in a given day by merging multiple scenes from GOCI. To this end, a large data set composed of GOCI scenes from January 2012 to December 2012 was used. The results demonstrate that ocean color availability in a composite scene merged from eight multiple GOCI scenes could be expanded by about 2.54 times relative to a single scene.
ISSN
1023-2796
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/1388
DOI
10.6119/JMST-016-1026-5
Bibliographic Citation
JOURNAL OF MARINE SCIENCE AND TECHNOLOGY-TAIWAN, v.24, no.6, pp.1161 - 1170, 2016
Publisher
NATL TAIWAN OCEAN UNIV
Subject
OCEAN COLOR DATA; CHLOROPHYLL-A; YELLOW SEA; SEAWIFS; MODIS; WATER; PRODUCTS; COASTAL; EAST
Keywords
Geostationary Ocean Color Imager; GOCI; daily composite; ocean color
Type
Article
Language
English
Document Type
Article; Proceedings Paper
Publisher
NATL TAIWAN OCEAN UNIV
Related Researcher
Research Interests

Coastal Remote Sensing,RS based Marine Surveillance System,GOCI Series Operation,연안 원격탐사,원격탐사기반 해양감시,천리안해양관측위성 운영

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