1 |
He, X., Y. Bai, D. Pan, J. Tang, and D. Wang, 2012. Atmospheric correction of satellite ocean color imagery using the ultraviolet wavelength for highly turbid waters, Optics Express, 20(18): 20754-20770.
DOI
|
2 |
Ahmad, Z., C.R. McClain, J.R. Herman, B.A. Franz, E.J. Kwiatkowska, W.D. Robinson, E.J. Bucsela, and M. Tzortziou, 2007. Atmospheric correction for NO 2 absorption in retrieving water-leaving reflectances from the SeaWiFS and MODIS measurements, Applied Optics, 46(26): 6504-6512.
DOI
|
3 |
Ahn, J.H., Y.J. Park, J.H. Ryu, B. Lee, and I.S. Oh, 2012. Development of atmospheric correction algorithm for Geostationary Ocean Color Imager (GOCI), Ocean Science Journal, 47(3): 247-259.
DOI
|
4 |
Blondeau-Patissier, D., J.F. Gower, A.G. Dekker, S.R. Phinn, and V.E. Brando, 2014. A review of ocean color remote sensing methods and statistical techniques for the detection, mapping and analysis of phytoplankton blooms in coastal and open oceans, Progress in Oceanography, 123: 123-144.
DOI
|
5 |
Han, H.-J., H. Yang, J.-M. Heo, and Y.-J. Park, 2016. Systemic Ground-Segment Development for the Geostationary Ocean Color Image II, GOCI-II, KIIS Transactions on Computing Practices, 23(3): 171-176
|
6 |
Choi, J.-K., J.-H. Ahn, Y.B. Son, D.-J. Hwang, and S.-J. Lee, 2020, Application of GOCI to the Estimates of Primary Productivity in the Coastal Waters of the East Sea, Korean Journal of Remote Sensing, 36(2-2), 237-247 (in Korean with English abstract).
DOI
|
7 |
Choi, Y.S. and C.H. Ho, 2015. Earth and environmental remote sensing community in South Korea: A review, Remote Sensing Applications: Society and Environment, 2: 66-76.
DOI
|
8 |
Fan, Y., W. Li, N. Chen, J.H. Ahn, Y.J. Park, S. Kratzer, T. Schroeder, J. Ishizaka, R. Chang, and K. Stamnes, 2021. OC-SMART: A machine learning based data analysis platform for satellite ocean color sensors, Remote Sensing of Environment, 253: 112236.
DOI
|
9 |
Lee, K.-S., 2019. Atmospheric Correction Issues of Optical Imagery in Land Remote Sensing, Korean Journal of Remote Sensing, 35(6-3), 1299-1312 (in Korean with English abstract).
DOI
|
10 |
NMSC (National Meteorological Satellite Center), 2019. GK-2A Algorithm Theoretical Basis Document AMI Atmospheric Profile, available at https://nmsc.kma.go.kr/homepage/html/base/cmm/selectPage.do?page=static.edu.atbdGk2a, Accessed on Apr. 15, 2019.
|
11 |
Orcutt, J., 2013. Earth System Monitoring, Introduction, Earth system monitoring, Springer, New York, NY, USA.
|
12 |
Pereira-Sandoval, M., A. Ruescas, P. Urrego, A. Ruiz-Verdu, J. Delegido, C. Tenjo, X. Soria-Perpinya, E. Vincente, J. Soria, and J. Moreno, 2019. Evaluation of atmospheric correction algorithms over Spanish inland waters for sentinel-2 multi spectral imagery data, Remote Sensing, 11(12): 1469.
DOI
|
13 |
Tzortziou, M., J.R. Herman, Z. Ahmad, C.P. Loughner, N. Abuhassan, and A. Cede, 2014. Atmospheric NO2 dynamics and impact on ocean color retrievals in urban nearshore regions, Journal of Geophysical Research: Oceans, 119(6): 3834-3854.
DOI
|
14 |
Li, H., X. He, Y. Bai, P. Shanmugam, Y.J. Park, J. Liu, Q. Zhu, F. Gong, D. Wang, and H. Huang, 2020. Atmospheric correction of geostationary satellite ocean color data under high solar zenith angles in open oceans, Remote Sensing of Environment, 249: 112022.
DOI
|
15 |
Werdell, P.J. and C.R. McClain, 2019. Satellite Remote Sensing: Ocean Color, Encyclopedia of Ocean Sciences (Third Edition), Academic Press, Sandigo CA, USA.
|
16 |
Lee, S.J., M.H. Ahn, and S.R. Chung, 2017. Atmospheric profile retrieval algorithm for next generation geostationary satellite of Korea and its application to the advanced Himawari Imager, Remote Sensing, 9(12): 1294.
DOI
|
17 |
Ahn, Y.H., 2000, Development of Remote Sensing Reflectance and Water Leaving Radiance Models for Ocean Color Remote Sensing Technique, Korea Journal of Remote Sensing, 16(3): 243-260 (in Korean with English abstract).
DOI
|
18 |
Choi, W.J., K.J. Moon, J. Yoon, A. Cho, S.K. Kim, S. Lee, D.H. Ko, J. Kim, M.H. Ahn, D.-R. Kim, S.-M. Kim J.-Y. Kim, D. Nicks, and J.S. Kim, 2018. Introducing the geostationary environment monitoring spectrometer, Journal of Applied Remote Sensing, 12(4): 044005.
|
19 |
Ferreira, A., V. Brotas, C. Palma, C. Borges, and A.C. Brito, 2021. Assessing Phytoplankton Bloom Phenology in Upwelling-Influenced Regions Using Ocean Color Remote Sensing, Remote Sensing, 13(4): 675.
DOI
|
20 |
Kim, D., M. Gu, T.H. Oh, E.K. Kim, and H.J. Yang, 2021. Introduction of the Advanced Meteorological Imager of Geo-Kompsat-2a: In-Orbit Tests and Performance Validation, Remote Sensing, 13(7): 1303.
DOI
|
21 |
Pahlevan, N., S. Sarkar, and B.A. Franz, 2016. Uncertainties in coastal ocean color products: Impacts of spatial sampling, Remote Sensing of Environment, 181: 14-26.
DOI
|
22 |
Wang, M. and L. Jiang, 2018. Atmospheric correction using the information from the short blue band, IEEE Transactions on Geoscience and Remote Sensing, 56(10), 6224-6237.
DOI
|