Results 21 to 30 of about 5,181 (243)
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
Comparative analysis of GOCI ocean color products. [PDF]
Sensors (Basel), 2015 The Geostationary Ocean Color Imager (GOCI) is the first geostationary ocean color sensor in orbit that provides bio-optical properties from coastal and open waters around the Korean Peninsula at unprecedented temporal resolution. In this study, we compare the normalized water-leaving radiance (nLw) products generated by the Naval Research Laboratory ...
Amin R +7 more
europepmc +5 more sources
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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Continuous mapping of fine particulate matter (PM2.5) air quality in East Asia at daily 6 × 6 km2 resolution by application of a random forest algorithm to 2011–2019 GOCI geostationary satellite data [PDF]
Atmospheric Measurement Techniques, 2022 We use 2011–2019 aerosol optical depth (AOD) observations from the Geostationary Ocean Color Imager (GOCI) instrument over East Asia to infer 24 h daily surface fine particulate matter (PM2.5) concentrations at a continuous 6 × 6 km2 resolution over ...
D. C. Pendergrass +9 more
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Remote Sensing, 2020 Geostationary Ocean Color Imager (GOCI) observations are applied to marine fog (MF) detection in combination with Himawari-8 data based on the decision tree (DT) approach. Training and validation of the DT algorithm were conducted using match-ups between
Donghee Kim +3 more
doaj +1 more source
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
doaj +1 more source
Two new species of the genus Cryptopimpla Taschenberg (Hymenoptera, Ichneumonidae, Banchinae) with an updated key to African species [PDF]
Journal of Hymenoptera Research, 2023 A revised illustrated key to Afrotropical species of the genus Cryptopimpla Taschenberg is provided, with the inclusion of two new South African species, C. orenji Reynolds & van Noort, sp. nov. and C. hoerikwagga Reynolds & van Noort, sp.
Terry Reynolds, Simon van Noort
doaj +3 more sources
A MULTI-TEMPORAL APPROACH FOR DETECTING SNOW COVER AREA USING GEOSTATIONARY IMAGERY DATA [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 In this study, we attempt to detect snow cover area using multi-temporal geostationary satellite imagery based on the difference of spectral and temporal characteristics between snow and clouds. The snow detection method is based on sequential processing
H.-S. Lee, K.-S. Lee
doaj +1 more source
GOCI data processing and ocean applications [PDF]
Ocean Science Journal, 2012 GOCI, the world’s first geostationary ocean color sensor, has been developed with the purpose of monitoring the marine environment and providing a quick and timely warning of marine dangers. It takes eight times a day the images of the Northeast Asian region while the polar orbiters have only a 2-3 day revisit occasion.
Joo-Hyung Ryu, Joji Ishizaka
openaire +1 more source
Advanced Materials Technologies, Volume 8, Issue 21, November 10, 2023., 2023 This paper reviews how Triboelectric Nanogenerators (TENGs) can be used for marine applications. TENGs are devices that convert mechanical energy into electrical energy. This review discusses how TENGs can harvest energy, monitor, forecast, and connect with Internet of Things (IoT) in the marine environment.
Tanvir Mahady Dip +6 more
wiley +1 more source