AN INCREASED REMOTE SENSING OBSERVATION BY GOCI DAILY COMPOSITE IMAGE
SCIE
SCOPUS
Cited 1 time in
WEB OF SCIENCE
Cited 1 time in
Scopus
-
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)
- Kim, Kwang Seok(김광석); Park, Young Je(박영제); Han, Hee Jeong(한희정); Ryu, Joo Hyung(유주형)
-
Alternative Author(s)
- 양현; 김원국; 김광석; 박영제; 한희정; 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
- Files in This Item:
-
There are no files associated with this item.
Items in ScienceWatch@KIOST are protected by copyright, with all rights reserved, unless otherwise indicated.