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Decadal Measurements of the First Geostationary Ocean Color Satellite (GOCI) Compared with MODIS and VIIRS Data
2021
Remote Sensing
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The first geostationary ocean color data from the Geostationary Ocean Color Imager (GOCI) onboard the Communication, Ocean, and Meteorological Satellite (COMS) have been accumulating for more than ten ...
The persistent underestimation of VIIRS Chl-a values compared with GOCI and MODIS occurs due to inherent sensor calibration differences. ...
The first author thanks Young-Je Park in KOSC, KIOST for his scientific encouragement of this study. The authors also thank NASA and NOAA for operating the MODIS and VIIRS missions. ...
doi:10.3390/rs14010072
fatcat:lla7zujouzfprf4cdigca4q6ea
Assessment of the Number of Valid Observations and Diurnal Changes in Chl-a for GOCI: Highlights for Geostationary Ocean Color Missions
2020
Sensors
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The first geostationary ocean color satellite mission (geostationary ocean color imager, or GOCI) has provided eight hourly observations per day over the western Pacific region since June 2010. ...
This study provides the first comprehensive quantification of the unparalleled advantages of geostationary ocean color missions over polar orbiters, and the results highlights the importance of geostationary ...
.MODIS and GOCI level-2 data were provided by the NASA ocean biology processing group (OBPG) and obtained from their website at https://oceancolor.gsfc.nasa.gov/cgi/browse.pl?sen5am). ...
doi:10.3390/s20123377
pmid:32549299
fatcat:zcb633obe5eirftm6hhmjn6p5i
Uncertainties in the Geostationary Ocean Color Imager (GOCI) Remote Sensing Reflectance for Assessing Diurnal Variability of Biogeochemical Processes
2019
Remote Sensing
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Geostationary sensors, such as the Geostationary Ocean Color Imager (GOCI) from the Republic of Korea, allow the study of these short-term processes because their orbit permit the collection of multiple ...
Short-term (sub-diurnal) biological and biogeochemical processes cannot be fully captured by the current suite of polar-orbiting satellite ocean color sensors, as their temporal resolution is limited to ...
Acknowledgments: We acknowledge that GOCI L1B data in OBPG are from Korea Institute of Ocean Science and Technology (KIOST) coordinated with Korea Ministry of Oceans and Fisheries (MOF). ...
doi:10.3390/rs11030295
fatcat:i5onujansjendop2qc6ecrvshe
Improving air quality forecasting with the assimilation of GOCI aerosol optical depth (AOD) retrievals during the KORUS-AQ period
2020
Atmospheric Chemistry and Physics
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The Korean Geostationary Ocean Color Imager (GOCI) satellite has monitored the East Asian region in high temporal (e.g., hourly) and spatial resolution (e.g., 6 km) every day for the last decade, providing ...
For the Korea–United States Air Quality (KORUS-AQ) period (May 2016), the impact of GOCI AOD on the accuracy of surface PM2.5 prediction is examined by comparing with effects of other observations including ...
Dave Gill and Wei Wang at MMM/NCAR helped us process data in WPS and tune the WRF configuration, respectively. ...
doi:10.5194/acp-20-6015-2020
fatcat:jhbppchnfjcklgzrsh6ykvtd2q
Improving air quality forecasting with the assimilation of GOCI AOD retrievals during the KORUS-AQ period
2019
Atmospheric Chemistry and Physics Discussions
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</strong> The Korean Geostationary Ocean Color Imager (GOCI) satellite has monitored the East Asian region in high temporal and spatial resolution every day, providing unprecedented information on air ...
During the Korea-United States Air Quality (KORUS-AQ) period (May 2016), the impact of GOCI AOD on the accuracy of air quality forecasting is examined by comparing with other observations including Moderate ...
during the cycles, we compare two cycling experiments -one with the assimilation of the original level II data thinned over 27-km mesh (named "GOCI_orig" in gray) and the other with the assimilation of ...
doi:10.5194/acp-2019-648
fatcat:xyulp7jxszaszckwmxbg4u74rq
Diurnal changes of cyanobacteria blooms in Taihu Lake as derived from GOCI observations
2018
Limnology and Oceanography
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Using frequent and long-term measurements (eight times per day, 2011 to present) from a geostationary satellite sensor (Geostationary Ocean Color Imager, GOCI), this study investigates diurnal changes ...
Complete understanding of the three types of diurnal patterns and direct validation of the hypothesis, however, require further investigations from field measurements. ...
Acknowledgments We thank NASA, USGS, and KORDI for providing satellite data, and also thank the two anonymous reviewers for their suggestions to improve the presentation of this paper. ...
doi:10.1002/lno.10802
fatcat:sxwxnii2jreovigz42276l2o6i
Sampling Uncertainties of Long-Term REMOTE-Sensing Suspended Sediments Monitoring over China's Seas: Impacts of Cloud Coverage and Sediment Variations
2020
Remote Sensing
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This study uses long-term (2013–2017) and high-frequency (eight observations per day) datasets from the Geostationary Ocean Color Imager (GOCI), the first geostationary ocean color satellite sensor, to ...
range and lower maximum to minimum ratio compared to the eight GOCI observations. ...
The first GEO ocean color satellite, the Geostationary Ocean Color Imager (GOCI), was launched by South Korea in 2010, and takes hourly measurements during the daytime [16] . ...
doi:10.3390/rs12121945
fatcat:hyzq23o5u5gzxgybmycljmcm5y
How Can Present and Future Satellite Missions Support Scientific Studies that Address Ocean Acidification?
English
2015
Oceanography
English
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How can present and future satellite missions support scientific studies that address ocean acidification? Oceanography 28(2):108-121, http://dx.doi.org/10.5670/oceanog.2015.35. ...
Coastal ocean color observations from a geostationary orbit will OCM-3 = Ocean Colour Monitor VIIRS = Visible Infrared Imaging Radiometer Suite GOCI-II = Geostationary Ocean Color Imager OCI = Ocean-Color ...
Geostationary platforms such as the Geostationary Ocean Color Imager (GOCI) allow important insights into diurnal variability of NPP and mixing of coastal water masses (Lee et al., 2012; Lee et al., 2013 ...
doi:10.5670/oceanog.2015.35
fatcat:zjpokryp7zd43hexewwycfh5ye
Reviews and syntheses: Ongoing and emerging opportunities to improve environmental science using observations from the Advanced Baseline Imager on the Geostationary Operational Environmental Satellites
2021
Biogeosciences
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Geostationary satellites have observed the Earth's surface and atmosphere at high temporal frequency for decades, and their imagers now have spectral resolutions in the visible and near-infrared regions ...
that are comparable to commonly used polar-orbiting sensors like the Moderate Resolution Imaging Spectroradiometer (MODIS), Visible Infrared Imaging Radiometer Suite (VIIRS), or Landsat. ...
Ocean color Geostationary satellites have been used for nearly a decade for monitoring the dynamics of ocean color. ...
doi:10.5194/bg-18-4117-2021
fatcat:5rdywhdi7fafnbddb77ych5h2q
Assessing Net Growth of Phytoplankton Biomass on Hourly to Annual Timescales Using the Geostationary Ocean Color Instrument
2021
Geophysical Research Letters
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Polar orbiting ocean color have been able to provide daily information of phytoplankton biomass with kilometer-scale resolution for several decades and the resulting data fields are used to estimate net ...
and the net air-sea flux of carbon dioxide. ...
SeaWiFS (Sea-Viewing Wide Field-of-View Sensor), MODIS (Moderate Resolution Imaging Spectroradiometer; Aqua and Terra refer to different satellites), OLCI (Ocean and Land Color Instrument), VIIRS (Visible ...
doi:10.1029/2021gl095528
fatcat:ingoxxor6nedxlbtjll7b5jxaa
Advances in the Monitoring of Algal Blooms by Remote Sensing: A Bibliometric Analysis
2020
Applied Sciences
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Since remote sensing of ocean colour began in 1978, several ocean-colour sensors have been launched to measure ocean properties. ...
However, long-term monitoring programs of phytoplankton are very scarce; only 1% of the articles included in this study analysed at least three decades and most of the existing algal blooms studies are ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/app10217877
fatcat:s4ykxjfqn5bi5cvrjf6yw2s5zu
Study of Marine Ecosystems and Biogeochemistry Now and in the Future: Examples of the Unique Contributions from Space
2010
Oceanography
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Study of marine ecosystems and biogeochemistry now and in the future: Examples of the unique contributions from space. Oceanography 23(4):104-117, doi:10.5670/oceanog.2010.09. ...
COPYRIGHT This article has been published in Oceanography, Volume 23, Number 4, a quarterly journal of The Oceanography Society. ...
AckNOWleDgeMeNTS The authors are grateful for financial assistance from NASA, NOAA, and their respective home institutions. ...
doi:10.5670/oceanog.2010.09
fatcat:svcj3npl75fttcjcuctg4a5i2u
Sensor Capability and Atmospheric Correction in Ocean Colour Remote Sensing
2015
Remote Sensing
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Acknowledgments: This work is supported by Queen Mary University of London's Engineering and Physical ...
The first geostationary ocean colour satellite sensor, Geostationary Ocean Color Imager (GOCI) onboard the Korean Communication, Ocean and Meteorological Satellite (COMS), was launched in June of 2010 ...
[151] developed an atmospheric correction algorithm for GOCI based on the MODIS SWIR-derived NIR ocean colour data, and the GOCI-derived ocean colour data were shown to be quite reasonable [119] . ...
doi:10.3390/rs8010001
fatcat:c6tfrygyazcrdp66fb47xmx6um
Computing Coastal Ocean Surface Currents from MODIS and VIIRS Satellite Imagery
2017
Remote Sensing
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To improve on past versions of this method, we evaluate combining MODIS and VIIRS thermal infrared (IR) and ocean color (OC) imagery to map the coastal surface currents and discuss the benefits of this ...
We explore the potential of computing coastal ocean surface currents from Moderate-Resolution Imaging Spectroradiometer (MODIS) and Visible Infrared Imaging Radiometer Suite (VIIRS) satellite imagery using ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/rs9101083
fatcat:nxidbrk5lbbyhk2jyq2xbsgyey
Genesis and Evolution of NASA's Satellite Ocean Color Program
2022
Frontiers in Remote Sensing
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Topics include the evolution of 1) satellite ocean color and field bio-optical data access, 2) satellite sensor capabilities, i.e., CZCS to PACE's hyperspectral Ocean Color Imager, OCI, 3) atmospheric ...
We recount, based on our involvements in NASA ocean color flight projects, the chronology of technical challenges, lessons learned, and key developments over the past 40 + years of NASA satellite ocean ...
The first geostationary ocean color mission, the Korean Geostationary Ocean Color Mission (GOCI; Cho et al., 2010) , was launched in 2010 and operated until early 2018, demonstrated the utility of sampling ...
doi:10.3389/frsen.2022.938006
fatcat:4fmqfmdw4bdwjoryty5odkh7tu
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