GEOSTATIONARY OCEAN COLOR IMAGER(GOCI)를 이용한 호소의 클로로필-A와 부유물질 농도 예측을 위한 경험식과 통계모델의 활용

Title
GEOSTATIONARY OCEAN COLOR IMAGER(GOCI)를 이용한 호소의 클로로필-A와 부유물질 농도 예측을 위한 경험식과 통계모델의 활용
Alternative Title
Utilize to optimized empirical equations and statical model for monitoring Chlorophyll-a and total suspended solid at Yeongam Reservoir by applying GOCI
Author(s)
박지환; 조경화; 최종국; 이보람; 박용은; 김관철; 김준하
KIOST Author(s)
Choi, Jong Kuk(최종국)
Publication Year
2013-10-17
Abstract
Eutrophication is one of the most critical problems facing South Korea, and it has bacome a serious issue in four major river systems of the Korean Peninsula. Rapid measurement of chlorophyll-a(chl-a) and total suspended solid(TSS) at the initial bloom(HAB) events. However, because of spatial and temporal constraints, it is hard to obtain enough information about chl-a and TSS using Geostationary Ocean Color Image-satellite (GOCI) as an altenative approach in the Yeongam Reservoir(YA Reservoir). Additionally, support vector machine(SVM) was used as a supporting tool in this study for enhancement of efficiency of detecting by GOCInitial bloom(HAB) events. However, because of spatial and temporal constraints, it is hard to obtain enough information about chl-a and TSS using Geostationary Ocean Color Image-satellite (GOCI) as an altenative approach in the Yeongam Reservoir(YA Reservoir). Additionally, support vector machine(SVM) was used as a supporting tool in this study for enhancement of efficiency of detecting by GOCI
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/26696
Bibliographic Citation
대한원격탐사학회 추계학술대회, pp.108 - 111, 2013
Publisher
(사)대한원격탐사학회
Type
Conference
Language
English
Publisher
(사)대한원격탐사학회
Related Researcher
Research Interests

GOCI-based PAR,Satellite-based Water Quality,Ocean color based Ecological Environment,GOCI 기반 PAR,위성활용 해수표층 수질,해색위성 기반 해수 생태환경

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