Geometric accuracy analysis of the Geostationary Ocean Color Imager (GOCI) Level 1B (L1B) product
The Geostationary Ocean Color Imager (GOCI) has been used for many remote sensing applications to observe and monitor the ocean color of East Asia around the Korean Peninsula. However, to date, its geometric accuracy has not been thoroughly investigated; the only studies conducted so far have focused on verifying its radiometric quality.
Jaehoon, Jeong +2 more
openaire +2 more sources
Dynamical Ocean Responses to Typhoon Malakas (2016) in the Vicinity of Taiwan
Abstract Saffir‐Simpson Category‐4 Typhoon Malakas crossed the Kuroshio, the Western Boundary Current of the North Pacific Ocean, and moved along the path of the Kuroshio for eight days between September 12 and 20, 2016. Malakas induced a 3–4°C sea surface cooling and an increase in sea surface Chlorophyll‐a concentration to 0.8 mg/m3.
Dongliang Shen +4 more
wiley +1 more source
Simulation of Sedimentation in Lake Taihu with Geostationary Satellite Ocean Color Data
In this study, the goal is to estimate the sedimentation on the bottom bed of Lake Taihu using numerical simulation combined with geostationary satellite ocean color data.
Anpeng He +6 more
doaj +1 more source
Estimation of Ocean Surface Currents from Maximum Cross Correlation applied to GOCI geostationary satellite remote sensing data over the Tsushima (Korea) Straits [PDF]
Attempts to automatically estimate surface current velocities from satellite-derived thermal or visible imagery face the limitations of data occlusion due to cloud cover, the complex evolution of features and the degradation of their surface signature ...
Miller, PI +4 more
core +1 more source
It is of great significance to monitor sea ice for relieving and preventing sea ice disasters. In this paper, the growth and development of sea ice in Liaodong Bay of Bohai Sea in China were monitored using Sentinel‐2 remote sensing data during the freezing period from January to March in 2018.
Zhiyong Wang +5 more
wiley +1 more source
The Map Data of BRDF-Adjusted Surface Reflectance from GOCI Geostationary Satellite Imagery over Korean Peninsula [PDF]
In this study, the spatial maps of the BRDF (Bidirectional Reflectance Distribution Function) adjusted surface reflectance (SR) were estimated by using the Geostationary Ocean Color Imager (GOCI) mounted on the Communication, Ocean and Meteorological ...
Jong-Min Yeom
doaj +1 more source
Icing detection over East Asia from geostationary satellite data using machine learning approaches [PDF]
Even though deicing or airframe coating technologies continue to develop, aircraft icing is still one of the critical threats to aviation. While the detection of potential icing clouds has been conducted using geostationary satellite data in the US and ...
Autonès +17 more
core +9 more sources
Radiometric Characteristics of Geostationary Ocean Color Imager (GOCI) for Land Applications
The GOCI imagery can be an effective alternative to monitor short-term changes over terrestrial environments. This study aimed to assess the radiometric characteristics of the GOCI multispectral imagery for land applications. As an initial approach, we compared GOCI at-sensor radiance with MODIS data obtained simultaneously.
Kyu-Sung Lee +4 more
openaire +2 more sources
A modern coastal ocean observing system using data from advanced satellite and in situ sensors – an example [PDF]
Report of the Ocean Observation Research Coordination Network In-situ-Satellite Observation Working GroupThis report is intended to illustrate and provide recommendations for how ocean observing systems of the next decade could focus on coastal ...
Davis, Curtiss O. +6 more
core +1 more source
Evaluation of Stray Light Correction for GOCI Remote Sensing Reflectance Using in Situ Measurements
The Geostationary Ocean Color Imager (GOCI) is the world’s first ocean color sensor in geostationary orbit. Although the GOCI has shown excellent radiometric performance with little long-term radiometric degradation and a high signal-to-noise ratio ...
Wonkook Kim +3 more
doaj +1 more source

