Synergy effect detecting Harmful algal blooms (HABs) using multi-sensor data

Title
Synergy effect detecting Harmful algal blooms (HABs) using multi-sensor data
Author(s)
신지선; 민지은; 유주형
KIOST Author(s)
Shin, Jisun(신지선)Ryu, Joo Hyung(유주형)
Publication Year
2017-11-20
Abstract
The satellite-based red tide detection algorithm was mainly developed for the ocean color sensor and it was developed considering the wavelength range of the specific sensor. Since sensors have different characteristics, there is a limit to red tide detection with a single-sensor. Therefore, it is necessary to estimate the optimal red tide area through fusion of multi-sensor. The objective of this paper is to identify synergy effect detecting HABs using multi-sensor and to quantify HABs distribution and area coverage. The red tide areas which are different due to SNR, spatial resolution and spectral resolution were investigated. In terrestrial sensor with high spatial resolution, narrow red tide patches are expressed clearly, but red tide detection is limited due to seawater flow, image noise, and ship trajectory. On the other hand, ocean-colour sensor was advantageous in observing the low concentration of red tide patch due to its excellent spectral resolution and signal-to-noise ratio (SNR). As a result of evaluation of cross-sensor consistency, the similarity of MODIS and VIIRS among the color sensor was high (R2=0.95), but GOCI and MODIS showed a coefficient of determination of 0.65. The similarity of ocean-colour sensor and terrestrial sensor was relatively low (R2=0.4). We applied Spectral Shape algorithm to each sensor and compared the extracted red tide areas and calculated the integrated area where they are red tide detection with a single-sensor. Therefore, it is necessary to estimate the optimal red tide area through fusion of multi-sensor. The objective of this paper is to identify synergy effect detecting HABs using multi-sensor and to quantify HABs distribution and area coverage. The red tide areas which are different due to SNR, spatial resolution and spectral resolution were investigated. In terrestrial sensor with high spatial resolution, narrow red tide patches are expressed clearly, but red tide detection is limited due to seawater flow, image noise, and ship trajectory. On the other hand, ocean-colour sensor was advantageous in observing the low concentration of red tide patch due to its excellent spectral resolution and signal-to-noise ratio (SNR). As a result of evaluation of cross-sensor consistency, the similarity of MODIS and VIIRS among the color sensor was high (R2=0.95), but GOCI and MODIS showed a coefficient of determination of 0.65. The similarity of ocean-colour sensor and terrestrial sensor was relatively low (R2=0.4). We applied Spectral Shape algorithm to each sensor and compared the extracted red tide areas and calculated the integrated area where they are
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/20455
Bibliographic Citation
2nd China-Korea Workshop on Marine Environmet and Disaster Monitoring Using Remote Sensing in the Yellow Sea, pp.3, 2017
Publisher
한중공동연구센터/한국해양과학기술원
Type
Conference
Language
English
Publisher
한중공동연구센터/한국해양과학기술원
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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