정지궤도 해색위성 (GOCI)의 자료를 이용한 입자성 유기탄소 측정: 예비연구

Title
정지궤도 해색위성 (GOCI)의 자료를 이용한 입자성 유기탄소 측정: 예비연구
Alternative Title
Determining particulate organic carbon (POC) using multispectral remote sensing data of GOCI : preliminary study
Author(s)
손영백; 문정언; 민지은; 안재현; 유주형; 안유환
KIOST Author(s)
Son, Young Baek(손영백)Moon, Jeong Eon(문정언)Ahn, Jae Hyun(안재현)Ryu, Joo Hyung(유주형)
Publication Year
2010-10-12
Abstract
To greatly increase the spatial and temporal resolution for studying carbon dynamics in the marine environment, we have developed remote sensing algorithms for particulate organic carbon (POC) by matching in-situ POC measurements with matching Geostationary Ocean Color Imager (GOCI) remote sensing reflectance. Data on total particulate matter (PM) as well as POC collected from various oceanic cruises as part of the development of the first GOCI study were used to test algorithms across a range of environments from low %POC coastal waters to high %POC open ocean waters. Finding that the remote-sensing reflectance clearly exhibited a peak shift from blue to green wavelengths with increasing POC concentration, we developed POC algorithm which uses the maximum band ratio of all available blue-to-green wavelengths, and provides a very robust estimate over a wide range of POC and PM concentrations.
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/28732
Bibliographic Citation
SPIE Asia-Pacific Remote Sensing, pp.1, 2010
Publisher
SPIE
Type
Conference
Language
English
Publisher
SPIE
Related Researcher
Research Interests

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

Files in This Item:
There are no files associated with this item.

qrcode

Items in ScienceWatch@KIOST are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse