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http://dx.doi.org/10.7780/kjrs.2018.34.6.2.5

HyperSAS Data for Polar Ocean Environments Observation and Ocean Color Validation  

Lee, Sungjae (Unit of Arctic Sea-ice prediction, Korea Polar Research Institute)
Kim, Hyun-cheol (Unit of Arctic Sea-ice prediction, Korea Polar Research Institute)
Publication Information
Korean Journal of Remote Sensing / v.34, no.6_2, 2018 , pp. 1203-1213 More about this Journal
Abstract
In Arctic and Antarctic ocean, remote sensing is the most effective observation for environmental changes due to the inaccessibility of the regions. Even though satellite, UAV (Unmanned Aerial Vehical) are well known remote sensing platforms, and research vessel also used for automatic measurement on the regions, varied environment of Polar regions require time series and wide coverage of data. Especially, in high latitude, apply an optical satellite remote sensing is not easy due to low sun altitude. In this paper, we introduce an operation of hyper-spectrometer (HyperSAS/Satlantic inc.) which is mounted on Ice Breaker Research Vessel ARAON of Korea Polar Research Institute since 2010, to acquire an above water reflectance atomatically through every research cruise on Arctic and Antarctic ocean and transit both regions. In addition to, auxiliary data for the remotely acquired data, in situ water sampling were also obtained. The above water reflectance and in situ water sampling data are continuously acquired since 2010 will contribute to improve an Ocean Color algorithm in the high latitude and help to understand ocean reflectances over from high latitude through low latitude. Preliminary result from above water reflectance showed characteristics of Arctic ocean and Antarctic Ocean and used to develop algorithms for estimating various ocean factors such as chlorophyll and suspended sediment.
Keywords
remote sensing; Arctic sea; Antarctic sea; Hyper spectral; HyperSAS; Chlorophyll; Suspended Sediment;
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1 Ahmed, S., T. Harmel, A. Gilerson, S. Hlaing, A. Tonizzo, C. Davis, A. Weidemann, and R. Arnone, 2011. Hyperspectral and multispectral above-water radiometric measurements to monitor satellite data quality over coastal area, Proc. of SPIE-The International Society for Optical Engineering, Orlando, FL, May 5, vol. 8030, pp. 803002.
2 Ardyna, M., M. Babin, M. Gosselin, E. Devred, L. Rainville, and J.-E. Tremblay, 2014. Recent Arctic Ocean sea ice loss triggers novel fall phytoplankton blooms, Geophysical Research Letters, 41(17): 6207-6212.   DOI
3 Cao, F., M. Tzortziou, C. Hu, A. Mannino, C. G. Fichot, R. Del Vecchio, R. G. Najjar, and M. Novak, 2018. Remote sensing retrievals of colored dissolved organic matter and dissolved organic carbon dynamics in North American estuaries and their margins, Remote Sensing of Environment, 205: 151-165.   DOI
4 Churnside, J. H. and J. J. Wilson, 2008. Ocean color inferred from radiometers on low-flying aircraft, Sensors, 8(2): 860-876.   DOI
5 Garaba, S. P. and O. Zielinski, 2013. Comparison of remote sensing reflectance from above-water and in-water measurements west of Greenland, Labrador Sea, Denmark Strait, and west of Iceland, Optics Express, 21(13): 15938-15950.   DOI
6 Groetsch, P. M. M., P. Gege, S. G. H. Simis, M. A. Eleveld, and S. W. M. Peters, 2017. Validation of a spectral correction procedure for sun and sky reflections in above-water reflectance measurements, Optics Express, 25(16): A742-A761.   DOI
7 Han, H. and H. Lee, 2007. Comparative Study of KOMPSAT-1 EOC Images and SSM/I NASA Team Sea Ice Concentration of the Arctic, Korean Journal of Remote Sensing, 23(6): 507-520 (in Korean with English abstract).   DOI
8 Hlaing, S., A. Gilerson, T. Harmel, A. Tonizzo, A. Weidemann, R. Arnone, and S. Ahmed, 2012. Assessment of a bidirectional reflectance distribution correction of above-water and satellite water-leaving radiance in coastal waters, Applied Optics, 51(2): 220-237.   DOI
9 Kim, S. I., H. C. Kim, and C. U. Hyun, 2014. High resolution ocean color products estimation in Fjord of Svalbard, arctic sea using Landsat-8 oli, Korean Journal of Remote Sensing, 30(6): 809-816 (in Korean with English abstract).   DOI
10 Kim, W. K. and J. M. Choi, 2018. Analysis of Hyperspectral Radiometer and Water Constituents Data for Remote Estimation of Water Quality, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, 36(4): 205-211 (in Korean with English abstract).   DOI
11 Lee, K. H. and S. H. Lee, 2012. Monitoring of Floating Green Algae Using Ocean Color Satellite Remote Sensing, Journal of Korean Association of Geographic Information Studies, 15(3): 137-147 (in Korean with English abstract).   DOI
12 Macdonald, R. W., S. M. Solomon, R. E. Cranston, H. E. Welch, M. B. Yunker, and C. Gobeil, 1998. A sediment and organic carbon budget for the Canadian Beaufort Shelf, Marine Geology, 144(4): 255-273.   DOI
13 Martinez-Vicente, V., S. G. H. Simis, R. Alegre, P. E. Land, and S. B. Groom, 2013. Above-water reflectance for the evaluation of adjacency effects in Earth observation data: initial results and methods comparison for near-coastal waters in the Western Channel, UK, Journal of the European Optical Society Rapid Publications, 8: 13060.   DOI
14 Mishra, D. R., B. A. Schaeffer, and D. Keith, 2014. Performance evaluation of normalized difference chlorophyll index in northern Gulf of Mexico estuaries using the Hyperspectral Imager for the Coastal Ocean, GIScience & Remote Sensing, 51(2): 175-198.   DOI
15 Moon, J. E., Y. H. Ahn, J. H. Ryu, and P. Shanmugam, 2010. Development of Ocean Environmental Algorithms for Geostationary Ocen Color Imager (GOCI), Korean Journal of Remote Sensing, 26(2): 189-207 (in Korean with English abstract).   DOI
16 O'Neill, J. D., M. Costa, and T. Sharma, 2011. Remote sensing of shallow coastal benthic substrates: in situ spectra and mapping of eelgrass (Zostera marina) in the Gulf Islands National Park Reserve of Canada, Remote Sensing, 3(5): 975-1005.   DOI
17 Moore, T. S., C. B. Mouw, J. M. Sullivan, M. S. Twardowski, A. M. Burtner, A. B. Ciochetto, M. N. McFarland, A. R. Nayak, D. Paladino, N. D. Stockley, T. H. Johengen, A. W. Yu, S. Ruberg, and A. Weidemann, 2017. Bio-optical Properties of Cyanobacteria Blooms in Western Lake Erie, Frontiers in Marine Science, 4: 300.   DOI
18 Mueller, J. L., A. Morel, R. Frouin, C. Davis, R. Arnone, K. Carder, Z. Lee, R. Steward, S. Hooker, and C. Mobley, 2003a. Ocean optics protocols for Satellite Ocean Color validation, Revision 5. Volume V: Biogeochemical and Bio-Optical Measurements and Data Analysis Protocols, NASA/TM, USA.
19 Mueller, J. L., A. Morel, R. Frouin, C. Davis, R. Arnone, K. Carder, Z. Lee, R. Steward, S. Hooker, and C. Mobley, 2003b. Ocean Optics Protocols For Satellite Ocean Color Sensor Validation, Revision 4. Volume III: Radiometric Measurements and Data Analysis Protocols, NASA/TM, USA.
20 Olszewski, J. and P. Kowalczuk, 2000. Sky glint correction in measurements of upward radiance above the sea surface, Oceanologia, 42(2).
21 Ruddick, K., V. De Cauwer, and B. Van Mol, 2005. Use of the near infrared similarity reflectance spectrum for the quality control of remote sensing data, Proc. of the SPIE International Symposium in Optics and Photonics: Remote Sensing of the Coastal Oceanic Environment, San Diego, CA, Jul. 31-Aug. 1, pp. 588501.
22 Ruddick, K., V. De Cauwer, Y.-J. Park, and G. Moore, 2006. Seaborne measurements of near infrared water-leaving reflectance: The similarity spectrum for turbid waters, Limnology and Oceanography, 51(2): 1167-1179.   DOI
23 Park, J. I., S. Y. Choi, and M. H. Park, 2017. A Study on Green Algae Monitoring in Watershed Using Fixed Wing UAV, Journal of Korean Institute of Intelligent Systems, 27(2): 164-169 (in Korean with English abstract).   DOI
24 Son, Y. B., Y. H. Kang, and J. H. Ryu, 2012. Monitoring Red Tide in South Sea of Korea (SSK) Using the Geostationary Ocean Color Imager (GOCI), Korean Journal of Remote Sensing, 28(5): 531-548 (in Korean with English abstract).   DOI
25 Son, Y. S. and H. C. Kim, 2018. Empirical ocean color algorithms and bio-optical properties of the western coastal waters of Svalbard, Arctic, ISPRS Journal of Photogrammetry and Remote Sensing, 139: 272-283.   DOI
26 Zibordi, G., K. Ruddick, I. Ansko, G. Moore, S. Kratzer, J. Icely, and A. Reinart, 2012. In situ determination of the remote sensing reflectance: an inter-comparison, Ocean Science, 8(4): 567-586.   DOI