Red Tide Detection Method Based on a Time Series Fusion Network Model: A Case Study of GOCI Data in the East China Sea. [PDF]
Ding T +5 more
europepmc +1 more source
The Relationship of Attention-Deficit/Hyperactivity Disorder With Posttraumatic Stress Disorder: A Two-Sample Mendelian Randomization and Population-Based Sibling Comparison Study. [PDF]
Wendt FR +13 more
europepmc +1 more source
Development of the Next Geonstationary Ocean Color Imager (GOCI-II) in Korea
The development of GOCI-II, the successive mission of GOCI, was started in the late 2012. Major Enhanced performance requirements of GOCI-II are around 250m GSD (Ground Sampling Distance) with 13 spectral bands, and newly implemented Full Disk ...
오은송 +5 more
core
Mercury Removal Using Sulfur-Decorated Chitosan Polymer Nanocomposites: Adsorption Performance and Mechanisms. [PDF]
Goci MC +4 more
europepmc +1 more source
High Spatial-Resolution Red Tide Detection in the Southern Coast of Korea Using U-Net from PlanetScope Imagery. [PDF]
Shin J, Jo YH, Ryu JH, Khim BK, Kim SM.
europepmc +1 more source
Current status of GOCI-II Ground Segment Development and In-Orbit Test plan of GOCI-II
Korea Ocean Satellite Center (KOSC) has developed the Geostationary ocean color imager-II (GOCI-II) with Korea Aerospace Research Institute (KARI) and Airbus D&S since 2012 and the GOCI-II Ground Segment(G2GS) since 2015.
최우창 +5 more
core
Long-term water types and satellite chlorophyll a variability in a river discharge environment around Ieodo Ocean Research Station. [PDF]
Park KA +5 more
europepmc +1 more source
The NHGRI-EBI GWAS Catalog: standards for reusability, sustainability and diversity [PDF]
Cerezo M +22 more
europepmc +2 more sources
Development of the next geostationary ocean color imager, GOCI-II
Imager (GOCI), the first pathfinder of ocean color remote sensing in geostationary orbit from 2010, necessity of succession of GOCI mission after the expected lifetime by 2018, is gradually increasing into the international ocean color remote sensing ...
오은송 +4 more
core
Machine learning-based assessment of offshore wind farm impacts on soft-bottom benthic communities in the Shandong Peninsula. [PDF]
Wang L +6 more
europepmc +1 more source

