Results 1 to 10 of about 1,326 (179)
Assessment of the Number of Valid Observations and Diurnal Changes in Chl-a for GOCI: Highlights for Geostationary Ocean Color Missions [PDF]
Sensors, 2020 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.
Lian Feng, Dan Zhao
exaly +4 more sources
Remote SensingDuring the summer, substantial freshwater discharge from the Changjiang River into the East China Sea (ECS) results in extensive low-salinity water (LSW) plumes that significantly affect regions along the southern Korean Peninsula and near Jeju Island ...
Jong-Kuk Choi, Jae-Hyun Ahn, Eunna Jang
exaly +4 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.
Guangxing Ji, Yunmei Li, Changchun Huang
exaly +3 more sources
Evaluation of Four Atmospheric Correction Algorithms for GOCI Images Over the Yellow Sea
Remote Sensing, 2019 Atmospheric correction (AC) for coastal waters is an important issue in ocean color remote sensing. AC performance is fundamental in retrieving reliable water-leaving radiances and then bio-optical parameters.
Cedric Jamet, Bing Han, Zhen Tian
exaly +3 more sources
Identifying Algal Bloom Types and Analyzing Their Diurnal Variations Using GOCI-Ⅱ Data
International Journal of Applied Earth Observation and GeoinformationFrequent algal blooms pose a serious threat to the marine ecosystem of the East China Sea. The Geostationary Ocean Color Imager-Ⅱ (GOCI-Ⅱ), a second-generation geostationary satellite sensor, is crucial for monitoring marine environmental dynamics.
Fang Shen, Zhaoxin Li, Songyu Chen
exaly +3 more sources
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
Remote Sensing, 2022 Land surface reflectance (LSR) is well known as an essential variable to understand land surface properties. The Geostationary Ocean Color Imager (GOCI) be able to observe not only the ocean but also the land with the high temporal and spatial resolution
Kyeong-Sang Lee +6 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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source