Results 171 to 180 of about 1,152 (203)

A Review of Protocols for Fiducial Reference Measurements of Downwelling Irradiance for the Validation of Satellite Remote Sensing Data over Water. [PDF]

Remote Sens (Basel), 2019
Ruddick KG, Voss K, Banks AC, Boss E, Castagna A, Frouin R, Hieronymi M, Jamet C, Johnson BC, Kuusk J, Lee Z, Ondrusek M, Vabson V, Vendt R.   +13 more
europepmc   +1 more source

Exploring the Impacts of Anthropogenic Disturbance on Seawater and Sediment Microbial Communities in Korean Coastal Waters Using Metagenomics Analysis. [PDF]

Int J Environ Res Public Health, 2017
Won NI, Kim KH, Kang JH, Park SR, Lee HJ.   +4 more
europepmc   +1 more source

Satellite remote sensing of harmful algal blooms (HABs) and a potential synthesized framework. [PDF]

Sensors (Basel), 2012
Shen L, Xu H, Guo X.
europepmc   +1 more source

Solar powered integrated multi sensors to monitor inland lake water quality using statistical data fusion technique with Kalman filter. [PDF]

Sci Rep
Priyanka EB, Thangavel S, Mohanasundaram R, Anand R.   +3 more
europepmc   +1 more source

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Overview of geostationary ocean color imager (GOCI) and GOCI data processing system (GDPS)

Ocean Science Journal, 2012
GOCI, the world’s first geostationary ocean color satellite, provides images with a spatial resolution of 500 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 ...
Joo-Hyung Ryu, Hee-Jeong Han, Seongick Cho, Young-Je Park, Yu-Hwan Ahn   +4 more
openaire   +3 more sources

Evaluation of chlorophyll retrievals from Geostationary Ocean Color Imager (GOCI) for the North-East Asian region

Remote Sensing of Environment, 2016
Abstract Estimation of chlorophyll concentration in the marine biosphere has been the central topic of ocean color remote sensing since its advent. While various algorithms were proposed in the literature so far and tested for oceanic waters of diverse constituent composition, an independent algorithm evaluation is needed for local ocean waters that ...
Wonkook Kim, Jeong-Eon Moon, Young-Je Park, Joji Ishizaka   +3 more
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Harmful algal bloom (HAB) in the East Sea identified by the Geostationary Ocean Color Imager (GOCI)

Harmful Algae, 2014
Abstract Harmful Cochlodinium polykrikoides blooms have frequently appeared and caused fatal harm to aquaculture in Korean coastal waters since 1995. We investigated the applicability of GOCI, the world's first Geostationary Ocean Color Imager, in monitoring the distribution and temporal movement of a harmful algal bloom (HAB) that was discovered in ...
Jong-Kuk Choi, Jee-Eun Min, Jae Hoon Noh, Tai-Hyun Han, Suk Yoon, Young Je Park, Jeong-Eon Moon, Jae-Hyun Ahn, Sung Min Ahn, Jae-Hun Park   +9 more
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Application of the Geostationary Ocean Color Imager (GOCI) to mapping the temporal dynamics of coastal water turbidity

Remote Sensing of Environment, 2014
Dynamic variations in coastal water turbidity are key to understanding the sedimentary processes on the west coast of the Korean Peninsula, which has vast tidal flats and a sedimentary environment affected by semi-diurnal tides. The aim of this study is to investigate temporal variations in total suspended matter (TSM) distribution along a coastal ...
Jong-Kuk Choi, Young Je Park, Bo Ram Lee, Jinah Eom, Jeong-Eon Moon, Joo-Hyung Ryu   +5 more
openaire   +3 more sources

Estimates of diurnal and daily net primary productivity using the Geostationary Ocean Color Imager (GOCI) data

Remote Sensing of Environment, 2022
Jinghui Wu, Joaquim I. Goes, Helga do Rosario Gomes, Zhongping Lee, Jae-Hoon Noh, Jianwei Wei, Zhehai Shang, Joseph Salisbury, Antonio Mannino, Wonkook Kim, Young-Je Park, Michael Ondrusek, Veronica P. Lance, Menghua Wang, Robert Frouin   +14 more
openaire   +3 more sources