A5102966715- Marine and coastal ecosystems
- Oceanographic and Atmospheric Processes
- Atmospheric and Environmental Gas Dynamics
- Water Quality Monitoring Technologies
- Marine Bivalve and Aquaculture Studies
- Water Quality Monitoring and Analysis
- Marine and Coastal Research
- Marine and fisheries research
- Atmospheric Ozone and Climate
- Atmospheric aerosols and clouds
- Marine Biology and Ecology Research
- Marine and coastal plant biology
- Oil Spill Detection and Mitigation
- Aquaculture Nutrition and Growth
- Coral and Marine Ecosystems Studies
- Advanced Computational Techniques and Applications
- Remote-Sensing Image Classification
- Remote Sensing and Land Use
- Calibration and Measurement Techniques
- Coastal and Marine Management
- Ocean Waves and Remote Sensing
- Reproductive biology and impacts on aquatic species
- Microplastics and Plastic Pollution
- Atmospheric chemistry and aerosols
- Consumer Perception and Purchasing Behavior
Korea Institute of Ocean Science and Technology
2014-2023
The Ocean Cleanup
2021
Korea Meteorological Administration
2018
National Institute of Environmental Research
2016
Inha University
2012
Institute of Natural Sciences
2005-2010
National Institute of Fisheries Science
2010
CSIRO Land and Water
2008-2009
Research & Development Institute
2005
Theory and seaborne measurements are presented for the near infrared (NIR: 700-900 nm) water-leaving reflectance in turbid waters. According to theory, shape of NIR spectrum is determined largely by pure water absorption thus almost invariant. A "similarity" defined normalization at 780 nm. This calculated from compared with that derived laboratory measurements. Factors influencing similarity analyzed theoretically radiative transfer simulations. These simulations show valid waters ranging...
A remote-sensing reflectance model based on a lookup table is proposed for use in analyzing satellite ocean color data both case 1 and 2 waters. The coefficients are tabulated grid values of three angles—solar zenith, sensor relative azimuth—to take account directional variation. This also requires, as input, phase function parameter defined by the contribution suspended particles to backscattering coefficient. generated from radiative transfer simulations wide range inherent optical...
The first geostationary ocean color satellite sensor, Geostationary Ocean Color Imager (GOCI), which is onboard South Korean Communication, Ocean, and Meteorological Satellite (COMS), was successfully launched in June of 2010. GOCI has a local area coverage the western Pacific region centered at around 36°N 130°E covers ~2500 × 2500 km(2). eight spectral bands from 412 to 865 nm with an hourly measurement during daytime 9:00 16:00 time, i.e., images per day. In collaboration between NOAA...
Since the Geostationary Ocean Color Imager (GOCI) was successfully launched in 2010, GOCI Yonsei aerosol retrieval (YAER) algorithm has been continuously updated to retrieve hourly optical properties. GOCI-II 4 more channels including UV, finer spatial resolution (250 m), and daily full disk coverage as compared GOCI, February 2020, onboard GEO-KOMPSAT-2B (GK-2B) satellite. In this study, we extended YAER data based on its improved performance many aspects present first results of properties...
Accurate and timely quantification of widespread harmful algal bloom (HAB) distribution is crucial to respond the natural disaster, minimize damage, assess environmental impact event. Although various remote sensing-based approaches have been proposed for HAB since advent ocean color satellite sensor, there no algorithms that were validated with in-situ quantitative measurements red tide occurring in Korean seas. Furthermore, geostationary imager (GOCI) became available June 2010, an...
Geostationary Ocean Color Imager (GOCI) observations are applied to marine fog (MF) detection in combination with Himawari-8 data based on the decision tree (DT) approach. Training and validation of DT algorithm were conducted using match-ups between satellite situ visibility for three Korean islands. different sets two variables nonfog 2016 finally results an optimal that primarily uses GOCI 412-nm Rayleigh-corrected reflectance (Rrc) its spatial variability index. The suitably reflects...
We present a direct and proxy-based approach to qualitatively semi-quantitatively observe floating plastic litter in the Great Pacific Garbage Patch (GPGP) based on survey 2018 using very high geo-spatial resolution 8-waveband WorldView-3 imagery. A proxy for plastics was defined as waveband difference anomalies top-of-the-atmosphere spectra. The were computed by subtracting spatially varying reflectance of surrounding ocean water background from reflectance. Spectral shapes magnitude also...
Measurements of ocean color from Geostationary Ocean Color Imager (GOCI) with a moderate spatial resolution and high temporal frequency demonstrate value for number oceanographic applications. This study aims to propose evaluate the calibration GOCI as needed achieve level radiometric accuracy desired studies. Previous studies reported that retrievals normalized water-leaving radiances (nLw) are biased all visible bands due lack vicarious calibration. The approach described here relies on...
An estimation of the aerosol multiple-scattering reflectance is an important part atmospheric correction procedure in satellite ocean color data processing. Most commonly, utilization two near-infrared (NIR) bands to estimate optical properties has been adopted for effects aerosols. Previously, operational Geostationary Color Ocean Imager (GOCI) scheme relies on a single-scattering ratio (SSE), which was developed processing Sea-viewing Wide Field-of-view Sensor (SeaWiFS) determine...
Mismanaged litter/debris in aquatic systems can pose threats to water quality and blue economic activities. Monitoring strategies like remote sensing complement support the gathering of relevant descriptors useful understanding challenges related leakage litter. We present a robust technique for detecting quantifying floating riverine litter, soup natural anthropogenic materials. Spectral information GeoEye, PlanetScope Skysat fine resolution satellite imagery was statistically transformed...
Atmospheric correction is a fundamental process to remove the atmospheric effect from top-of-atmosphere level. The algorithm developed by Korea Institute of Ocean Science and Technology employs near-infrared (NIR) water reflectance model deal with non-negligible NIR over turbid waters. This paper describes models using visible bands Second Geostationary Color Imager (GOCI-II). Whereas previous GOCI uses 660 nm band estimate (SR660), GOCI-II additional 620 709 bands, which improves estimation...
Sea surface salinity (SSS) is an important tracer for monitoring the Changjiang Diluted Water (CDW) extension into Korean coastal regions; however, observing SSS distribution in near real time a difficult task. In this study, detection algorithm was developed based on ocean color measurements by Geostationary Ocean Color Imager (GOCI) high spatial and temporal resolution using multilayer perceptron neural network (MPNN). Among various combinations of input parameters, with three to six bands...
Abstract. Formerly known as one of the most polluted regions globe, East Asia underwent a dramatic improvement air quality, especially for aerosols, starting in 2010s. Numerous satellites have observed long time duration, but often with low spatial or temporal resolution, limiting their ability to capture small-scale variabilities provide continuous observations long-range transport aerosols. In this study, we an hourly aerosol optical property (AOP) dataset retrieved from Korean...