Results 11 to 20 of about 412 (172)
Monitoring Water Transparency in Shallow and Eutrophic Lake Waters Based on GOCI Observations [PDF]
Remote Sensing, 2020 Water transparency represented by the Secchi disk depth (Zsd) plays an important role in understanding water ecology environment variations, especially for optically complex and shallow lake waters. In this study, using in situ measured remote sensing reflectance (Rrs), diffuse attenuation coefficient (Kd), and Zsd data collected in Lake Taihu (China),
Deyong Sun, Shuying Bai, Sun Deyong
exaly +3 more sources
Geometric Correction for the Geostationary Ocean Color Imager from a Combination of Shoreline Matching and Frequency Matching [PDF]
Sensors, 2018 Geometric correction is fundamental in producing high quality satellite data products. However, the geometric correction for ocean color sensors, e.g., Geostationary Ocean Color Imager (GOCI), is challenging because the traditional method based on ground
Han-Gyeol Kim +2 more
doaj +2 more sources
High Temporal Resolution Monitoring of Suspended Matter Changes from GOCI Measurements in Lake Taihu
Remote Sensing, 2019 The Tiaoxi River is the main source of water for Lake Taihu and can result in plumes in the lake after heavy precipitation events. These plumes have played a crucial role in the water quality changes within the lake.
Yifan Xu, Yunmei Li, Yunlin Zhang
exaly +3 more sources
Frontiers in Remote Sensing, 2022 Due to strict spectral band requirements, the three-band (TB) chlorophyll-a concentration (Cchla) estimation algorithm cannot be applied to GOCI image, which has great potential in frequently monitoring inland complex waters.
Yulong Guo +11 more
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Remote Sensing, 2021 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 years from 2010.
Myung-Sook Park +5 more
doaj +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 This study presents a deep learning model, using the conditional generative adversarial nets (CGAN) technique, that can produce daytime visible (VIS) band information, mimicking a narrow band sensor, by combining VIS and infrared (IR) broadband ...
Sumin Ryu, Sungwook Hong
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Retrieval of High Temporal Resolution Aerosol Optical Depth Using the GOCI Remote Sensing Data
Remote Sensing, 2021 High temporal resolution aerosol optical depth (AOD) products are very important for the studies of atmospheric environment and climate change. Geostationary Ocean Color Imager (GOCI) is a suitable data source for AOD retrieval, as it can monitor hourly ...
Lijuan Chen +5 more
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GOCI Yonsei Aerosol Retrieval (YAER) algorithm and validation during the DRAGON-NE Asia 2012 campaign [PDF]
Atmospheric Measurement Techniques, 2016 The Geostationary Ocean Color Imager (GOCI) onboard the Communication, Ocean, and Meteorological Satellite (COMS) is the first multi-channel ocean color imager in geostationary orbit.
M. Choi +12 more
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International Journal of Applied Earth Observations and Geoinformation, 2023 Using measurements from the Geostationary Ocean Color Imager (GOCI) on the Communication, Ocean, and Meteorological Satellite (COMS), we characterize and quantify some advantages and applications of the satellite geostationary measurements, compared with
Menghua Wang, Wei Shi, Lide Jiang
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Estimating ground-level PM2.5 in eastern China using aerosol optical depth determined from the GOCI satellite instrument [PDF]
Atmospheric Chemistry and Physics, 2015 We determine and interpret fine particulate matter (PM2.5) concentrations in eastern China for January to December 2013 at a horizontal resolution of 6 km from aerosol optical depth (AOD) retrieved from the Korean geostationary ocean color imager (GOCI ...
J.-W. Xu +14 more
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