Geostationary ocean color imager (GOCI) technical development, operation, and applications

12 October 2010, Incheon, Korea, Republic of by Yu-Hwan Ahn

Publisher: SPIE in Bellingham, Wash

Written in English
Published: Downloads: 98
Share This

Subjects:

  • Ocean color,
  • Remote sensing,
  • Congresses,
  • Image processing,
  • Digital techniques

Edition Notes

Includes bibliographical references and index.

StatementYu-Hwan Ahn ... [et al.], editors ; sponsored by SPIE ; cosponsored by Korea Ocean Research & Development Institute (Korea, Republic of) ... [et al.].
SeriesProceedings of SPIE -- v. 7861, Proceedings of SPIE--the International Society for Optical Engineering -- v. 7861.
ContributionsSPIE (Society), Han"guk Haeyang Yŏn"guwŏn
Classifications
LC ClassificationsGC101 .G46 2010
The Physical Object
Pagination1 v. (various pagings) :
ID Numbers
Open LibraryOL25406459M
ISBN 100819483915
ISBN 109780819483911
LC Control Number2012405690
OCLC/WorldCa706409789

Since he joined KIOST in , his main research activities are related to the Geostationary Ocean Color Imager (GOCI), an ocean color instrument operated on a geostationary orbit providing hourly images during daytime around north-east Asian seas around Korea. GEO-KOMPSAT-2B (GK2B) is for the ocean monitoring mission and the environment monitoring mission, featuring the Airbus Space built GOCI-II(Geostationary Ocean Color Imager-II) and the Ball Aerospace built GEMS (Environmental monitoring sensor) payloads. The satellite will be stationed at ° East. GEO-KOMPSAT-2B is planned for launch in   Geostationary wedge-filter imager-sounder Geostationary wedge-filter imager-sounder Puschell, Jeffery J.; Huang, Hung-Lung Imaging spectrometry from geostationary earth orbit (GEO) can provide the frequently-refreshed detailed information on physical properties of earth's atmosphere and surface needed to enable critical new science missions and ultimately . The understanding of such variations is of great significance in coastal waters. The aim of this study is to investigate and assess the diurnal and seasonal variations of surface TSM distribution and its mechanisms in coastal waters based on Geostationary Ocean Color Imager (GOCI) data.

  Vicarious calibration of the Geostationary Ocean Color Imager. Ahn JH, Park YJ, Kim W, Lee B, Oh IS. Measurements of ocean color from Geostationary Ocean Color Imager (GOCI) with a moderate spatial resolution and a high temporal frequency demonstrate high value for a number of oceanographic by: This study newly applies measurements from two geostationary satellites, the Advanced Himawari Imager (AHI) onboard the geostationary satellite Himawari-8 and the Geostationary Ocean Color imager (GOCI) onboard the geostationary satellite COMS, to evaluate a unique regional aerosol-transport model coupled to a non-hydrostatic icosahedral atmospheric model (NICAM) at a high Cited by: 3. Bachelor of Science in Physics, Kyung-book N University, Doctor of Philosophy in Ocean Optics & Ocean Color Remote Sensing, Paris-6 University, Career Researcher LPCM and Villefranche sur mer, —, Principal Investigator Geostationary Ocean Color Imager . The Ocean Biology Processing Group has been working with the Korean Institute of Ocean Science and Technology (KIOST) to process geosynchronous ocean color data from the GOCI (Geostationary Ocean Color Instrument) aboard the COMS (Communications, Ocean and Meteorological Satellite). The level-2 processing program, l2gen has GOCI processing as an.

The satellite is equipped with the cutting-edge Geostationary Ocean Color Imager-2 (GOCI-2), which can check for algal blooms and other water contaminants. GOCI-2 is able to cover an area around. The Geostationary Ocean Color Imager (GOCI) is the first ocean color sensor mounted on the geostationary satellite, and provides images 8 times a day. A preliminary tidal flat reflectance model was obtained from 72 cloud free GOCI images in March, Two reflectance models were found to be minimally required for mud and mixed flats, while Author: Wook Park, Ji-Sun Shin, Yoon-Kyung Lee, Joong-Sun Won. Furthermore, since the geostationary ocean color imager (GOCI) became available in June , an algorithm that exploits its unprecedented observation frequency (every hour during the daytime) has been highly demanded to better track the changes in spatial distribution of red by: 3. From degrees west longitude, GOES keeps watch over North and South America and the Atlantic Ocean all the way to the west coast of Africa. GOES-S (GOES) GOES-S, now GOES, launched on March 1, , at p.m. EST from Space Launch Complex 41 at Cape Canaveral Air Force Station, Florida aboard an Atlas V rocket.

Geostationary ocean color imager (GOCI) technical development, operation, and applications by Yu-Hwan Ahn Download PDF EPUB FB2

The Republic of Korea’s Geostationary Ocean Color Imager (GOCI), launched inis the first and Geostationary ocean color imager book (to date) operational geostationary ocean color sensor [10] and it has proven to be capable of detecting sub-diurnal variations of the coastal waters in Size: 5MB.

The Geostationary Ocean Color Imager (GOCI) is one of the three payloads onboard the Communication, Ocean and Meteorological Satellite (COMS). It acquires data in 8 spectral bands (6 visible, 2 NIR) with a spatial resolution of about m over the Korean sea.

The ocean data products that can be derived from the measurements are mainly the. 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 GOCI has a local area coverage of the western Pacific region centered at around 36°N and °E and covers ~ × km2.

The Geostationary Ocean Color Imager (GOCI) can be utilized efficiently to observe subtle changes in oceanic environments under cloud-free conditions because it receives ocean color images around the Korean Peninsula hourly, for 8 h a day.

With the launch of Geostationary Ocean Color Imager (GOCI) and Meteorological Imager (MI) onboard the Communication, Oceanography, and Meteorology Satellite (COMS) over Asia inhourly monitoring of various aerosol properties has been realized.

Algorithms and aerosol data products are presented for the period of 5 years since its by: 2. Geostationary Ocean Color Imager ★ COMS: Communication Ocean and Meteorological Satellite ★ It shall be operated in a staring-frame capture mode onboard its COMS.

★ The mission concept includes eight visible-to-near-infrared bands, m spatial resolution, and a coverage region of 2,*2, km centered at Korea.

GOCI is the first ocean colour sensor to be launched in a geostationary orbit. The major advantage of a geostationary orbit for ocean-colour studies is better temporal coverage.

GOCI has a revisit time of around 1 hour and can readily monitor tidal effetcs, the movement of dust and sea fog as well as development of forest fires and typhoons. Abstract: This study proposes a method to simulate the images of the future European geostationary sensor dedicated to ocean color sensor: the geostationary ocean color advanced permanent imager (GeoOCAPI), and it demonstrates the sensor capabilities to monitor the water composition throughout the day.

The temporal variation of the coastal seascape is obtained from biogeochemical and. At the 13 th annual IOCCG Committee meeting in Paris ( February ), many of the space agencies displayed a high level of interest in ocean-colour observations from a geostationary platform.

CNES is currently performing R&D activities for a GEOCO mission (GEO Satellite for Ocean Colour), ISRO has plans for a High Resolution GEO Imager (HR-GEO), and KARI plans to launch their.

The geostationary ocean color satellite is ideal for environmental monitoring (e.g., water quality, pollution, oil spills, harmful algal blooms, sediment and carbon transport, air–sea carbon flux, and oceanic engineering) in highly dynamic coastal waters, thanks to a much higher sampling frequency than polar-orbiting ocean color satellites and higher spectral, spatial, and radiative resolutions than Cited by: Sea surface currents (SSCs) in coastal regions can be mapped from successive optical images observed by satellite.

We implemented the maximum cross‐correlation (MCC) algorithm to Geostationary Ocean Color Imager‐derived total suspended matter in the East China Sea in this : Jian Chen, Jianyu Chen, Jianyu Chen, Zhengyi Cao, Yu Shen.

INTRODUCTION. The Geostationary Ocean Color Imager II (GOCI-II) is the next generation of GOCI, which is one of the main payloads of the Korean COMS satellite. GOCI was the first ocean color sensor in the world operating on the geostationary orbit.

Since COMS launch in JuneGOCI is monitoring ocean color around the Korean Peninsula in order to detect, monitor, quantify, and Cited by: 1. The GOES-R Series (a collaboration of NOAA and NASA) is the Western Hemisphere’s most advanced weather-monitoring satellite system.

Paper Abstract Geostationary Ocean Color Imager (GOCI) is under development to provide a monitoring of ocean-color around the Korean Peninsula from geostationary platforms. It is planned to be loaded on Communication, Ocean, and Meteorological Satellite (COMS) of Korea.

SPIE Digital Library Proceedings. CONFERENCE PROCEEDINGS Papers PresentationsCited by: 3. (). Evaluation of the Geostationary Ocean Color Imager (GOCI) to monitor the dynamic characteristics of suspension sediment in Taihu Lake.

International Journal of Remote Sensing: Vol. 36, No. 15, pp. Cited by: 8. Development of Ocean Environmental Algorithms for Geostationary Ocean Color Imager (GOCI) Article (PDF Available) January with Reads How we measure 'reads'.

GOCI, the world’s first geostationary ocean color satellite, provides images with a spatial resolution of m at hourly intervals up to 8 times a day, allowing observations of short-term changes in the Northeast Asian region. The GOCI Data Processing System (GDPS), a specialized data processing software for GOCI, was developed for real-time generation of various products.

The Geostationary Ocean Color Imager (GOCI) is one of the three payloads onboard the Communication,Ocean and Meteorological Satellite (COMS). It acquires data in 8 spectral bands (6 visible, 2 NIR) witha spatial resolution of about m over the Korean sea. Points). For geostationary ocean color imager, a similar process called image navigation has been applied(Lee.

et al., ). Small image chips of shorelines with known coordinates are collected beforehand and they are matched against ocean images.

However, images from ocean observing satellites such : H. Kim, J. Son, T. Kim. Abstract: The Geostationary Ocean Color Imager (GOCI) has been developed for the first time to provide multispectral data which is useful to detect, monitor, and predict short-term changes of coastal ocean environment around the Korean Peninsula from a geostationary platform.

In this paper, an in-orbit solar calibration method for GOCI is by: This article relates to weather data, products, or instruments.

External links modified. Hello fellow Wikipedians, I have just modified one external link on Geostationary Ocean Color take a moment to review my you have any questions, or need the bot to ignore the links, or the page altogether, please visit this simple FaQ for additional information.

Using real-time data from the Geostationary Ocean Color Imager (GOCI) to estimate sulfur concentrations, we can clearly identify the spatial distributions of blue tides.

We developed an empirical model using in situ measurement of sulfur and remote sensing reflectance to Author: Hiroto Higa, Shogo Sugahara, Salem Ibrahim Salem, Salem Ibrahim Salem, Yoshiyuki Nakamura, Takayuki. The observed number of C. polykrikoides cells and reflectance data from Geostationary Ocean Color Imager images obtained in a 3-year period (–) were used to train and validate the models.

The RT model demonstrated the best prediction performance when four bands and three-band ratio data were simultaneously used as input by: 3. The Geostationary Ocean Color Imager (GOCI) can be utilized efficiently to observe subtle changes in oceanic environments under cloud-free conditions because it receives ocean color images around the Korean Peninsula hourly, for 8 h a day.

Here we investigated the applicability of the GOCI for estimating hourly variations in ocean surface currents, which provide significant information on Cited by:   This study assesses the performance of the Geostationary Ocean Imager (GOCI) for mapping of suspended particulate matter in the Bohai Sea, a turbid water region.

GOCI imagery for remote sensing reflectance and Total Suspended Solids (TSS) is analysed in detail for two days in June (8 images per day). Both instantaneous and daily composite maps are considered and a Cited by: Reviewing six years of Geostationary Ocean Color Imager (GOCI) suspended particulate matter (SPM) concentration images from to revealed unexpected and some enormously high or low values.

Arctic GOES / POES Composite Imagery: This composite imagery product is generated every one hour at the visible, infrared, shortwave infrared, longwave infrared (two window channels), and the water vapor bands by using imager data from the following geostationary and polar-orbiting satellites: GOES (East and West), MSG (Prime and IODC), Himawari, S-NPP, JPSS, and MetOp (two satellites).

comparison of geometric correction schemes for geostationary ocean color imager slots without gcps J. Son 1, H. Kim 2, and T.

Kim 1 J. Son et al. Son 1, H. Kim 2, and T. Kim 1 1 Dept. of Geoinformatic Engineering, Inha University, Inharo, Namgu, Incheon, Republic of KoreaAuthor: J.

Son, H. Kim, T. Kim. Korean Geostationary Ocean Color Imager (GOCI) NASA Level-2 and Level-3 Processing Support Daily Mean Chlorophyll. Geostationary Ocean Color Imager (GOCI) Mirror Site Development.

Landsat-8 Ocean Land Imager (OLI) • Launch February • Operational April Ocean Color Reprocessing History R multi-mission. The Geostationary Ocean Color Imager (GOCI) is the first optical sensor in geostationary orbit for monitoring the ocean environment around the Korean Peninsula. This paper discusses on-orbit modulation transfer function (MTF) estimation with the pulse-source method and its compensation results for the GOCI.

Additionally, by analyzing the relationship between the MTF compensation effect and. High-temporal- and high-spatial-resolution observations of aerosol properties have been available from geostationary Earth orbit (GEO) instruments: the Meteorological Imager (MI) and the Geostationary Ocean Color Imager (GOCI) on board the Geostationary Korea Multi-Purpose Satellite (GK)-1, also known as Communication, Oceanography and Cited by: 8.

GEMS will be on board the Geostationary Korea Multi-Purpose Satellite 2 (GEO-KOMPSAT-2) satellite series, which also hosts the Advanced Meteorological Imager (AMI) and Geostationary Ocean Color Imager 2 (GOCI-2).Cited by: 8.