Articles | Volume 7, issue 8
Atmos. Meas. Tech., 7, 2471–2485, 2014
https://doi.org/10.5194/amt-7-2471-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Atmos. Meas. Tech., 7, 2471–2485, 2014
https://doi.org/10.5194/amt-7-2471-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
12 Aug 2014
Research article
| 12 Aug 2014
Introduction of the in-orbit test and its performance for the first meteorological imager of the Communication, Ocean, and Meteorological Satellite
D. H. Kim and M. H. Ahn
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Cited
11 citations as recorded by crossref.
- Effects of GSICS correction on estimation of sea surface temperature using COMS data E. Park et al. 10.1080/01431161.2015.1007249
- Applications of Geostationary Satellite Data to Aviation G. Ellrod & K. Pryor 10.1007/s00024-018-1821-1
- Improved estimation of insolation by using calibrated COMS MI images over South Korea K. Han et al. 10.1080/2150704X.2015.1019651
- Inter-comparison of the infrared channels of the meteorological imager onboard COMS and hyperspectral IASI data D. Kim et al. 10.1007/s00376-014-4124-1
- Machine Learning Approaches for Detecting Tropical Cyclone Formation Using Satellite Data M. Kim et al. 10.3390/rs11101195
- Development and Analysis of COMS AMV Target Tracking Algorithm using Gaussian Cluster Analysis Y. Oh et al. 10.7780/kjrs.2015.31.6.4
- Improved detection of low stratus and fog at dawn from dual geostationary (COMS and FY-2D) satellites J. Yoo et al. 10.1016/j.rse.2018.04.019
- Introduction of the Advanced Meteorological Imager of Geo-Kompsat-2a: In-Orbit Tests and Performance Validation D. Kim et al. 10.3390/rs13071303
- Detection of Convective Initiation Using Meteorological Imager Onboard Communication, Ocean, and Meteorological Satellite Based on Machine Learning Approaches H. Han et al. 10.3390/rs70709184
- COMS Visible Channel Calibration Using Moon Observation Data T. Oh & D. Kim 10.3390/rs10050726
- Application of an artificial neural network for a direct estimation of atmospheric instability from a next-generation imager S. Lee et al. 10.1007/s00376-015-5084-9
11 citations as recorded by crossref.
- Effects of GSICS correction on estimation of sea surface temperature using COMS data E. Park et al. 10.1080/01431161.2015.1007249
- Applications of Geostationary Satellite Data to Aviation G. Ellrod & K. Pryor 10.1007/s00024-018-1821-1
- Improved estimation of insolation by using calibrated COMS MI images over South Korea K. Han et al. 10.1080/2150704X.2015.1019651
- Inter-comparison of the infrared channels of the meteorological imager onboard COMS and hyperspectral IASI data D. Kim et al. 10.1007/s00376-014-4124-1
- Machine Learning Approaches for Detecting Tropical Cyclone Formation Using Satellite Data M. Kim et al. 10.3390/rs11101195
- Development and Analysis of COMS AMV Target Tracking Algorithm using Gaussian Cluster Analysis Y. Oh et al. 10.7780/kjrs.2015.31.6.4
- Improved detection of low stratus and fog at dawn from dual geostationary (COMS and FY-2D) satellites J. Yoo et al. 10.1016/j.rse.2018.04.019
- Introduction of the Advanced Meteorological Imager of Geo-Kompsat-2a: In-Orbit Tests and Performance Validation D. Kim et al. 10.3390/rs13071303
- Detection of Convective Initiation Using Meteorological Imager Onboard Communication, Ocean, and Meteorological Satellite Based on Machine Learning Approaches H. Han et al. 10.3390/rs70709184
- COMS Visible Channel Calibration Using Moon Observation Data T. Oh & D. Kim 10.3390/rs10050726
- Application of an artificial neural network for a direct estimation of atmospheric instability from a next-generation imager S. Lee et al. 10.1007/s00376-015-5084-9
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