Results 61 to 70 of about 1,152 (203)

Computationally efficient air quality forecasting tool: implementation of STOPS v1.5 model into CMAQ v5.0.2 for a prediction of Asian dust [PDF]

open access: yes, 2016
This study suggests a new modeling framework using a hybrid Eulerian-Lagrangian-based modeling tool (the Screening Trajectory Ozone Prediction System, STOPS) for a prediction of an Asian dust event in Korea.
Choi, Yunsoo   +6 more
core   +2 more sources

The United States' Next Generation of Atmospheric Composition and Coastal Ecosystem Measurements: NASA's Geostationary Coastal and Air Pollution Events (GEO-CAPE) Mission [PDF]

open access: yes, 2014
The Geostationary Coastal and Air Pollution Events (GEO-CAPE) mission was recommended by the National Research Council's (NRC's) Earth Science Decadal Survey to measure tropospheric trace gases and aerosols and coastal ocean phytoplankton, water quality,
Al-Saadi, J.   +31 more
core   +1 more source

Data-Free Area Detection and Evaluation for Marine Satellite Data Products

open access: yesRemote Sensing, 2022
The uncertainty verification of satellite ocean color products and the bias analysis of multiple data are both indispensable in the evaluation of ocean color products.
Shengjia Zhang   +4 more
doaj   +1 more source

An Expanded Three Band Model to Monitor Inland Optically Complex Water Using Geostationary Ocean Color Imager (GOCI)

open access: yesFrontiers 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. In this study, the TB algorithm was expanded and applied to GOCI data.
Yulong Guo   +11 more
openaire   +2 more sources

Geostationary Ocean Color Imager (GOCI) Marine Fog Detection in Combination with Himawari-8 Based on the Decision Tree [PDF]

open access: yesRemote 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 satellite observations and in situ visibility data for three Korean islands.
Donghee Kim   +3 more
openaire   +2 more sources

Detection and monitoring of forest fires using Himawari-8 geostationary satellite data in South Korea [PDF]

open access: yes, 2019
Geostationary satellite remote sensing systems are a useful tool for forest fire detection and monitoring because of their high temporal resolution over large areas.
Im, Jungho   +5 more
core   +1 more source

A Systematic Review of the Application of the Geostationary Ocean Color Imager to the Water Quality Monitoring of Inland and Coastal Waters

open access: yesRemote Sensing
In recent decades, eutrophication in inland and coastal waters (ICWs) has increased due to anthropogenic activities and global warming, thus requiring timely monitoring. Compared with traditional sampling and laboratory analysis methods, satellite remote
Shidi Shao   +3 more
doaj   +1 more source

Assessment of Satellite-Based Chlorophyll-a Algorithms in Eutrophic Korean Coastal Waters: Jinhae Bay Case Study

open access: yesFrontiers in Marine Science, 2019
Jinhae Bay, one of the most important aquaculture areas in Korean coastal waters, has suffered from serious environmental problems due to intensive anthropogenic activities since the 1970s.
Joo-Eun Yoon   +8 more
doaj   +1 more source

Divergence Observation in a Mesoscale Eddy during Chla Bloom Revealed in Submesoscale Satellite Currents

open access: yesRemote Sensing, 2023
Oceanic mesoscale eddies continuously regulate the horizontal and vertical transport of mass, heat, salt, carbon, and nutrients throughout the ocean system owing to their ubiquity, three-dimensionality, and long-term persistence. Although satellites have
Tran Thi My Hong   +2 more
doaj   +1 more source

Sea Ice Thickness Retrieval Based on GOCI Remote Sensing Data: A Case Study

open access: yesRemote Sensing, 2021
The accurate monitoring and measurement of sea ice thickness (SIT) is crucial for understanding climate change and preventing economic losses caused by sea ice disasters near coastal regions.
Fengguan Gu   +6 more
doaj   +1 more source

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