Browse > Article
http://dx.doi.org/10.7780/kjrs.2016.32.2.2

Application of unmanned aerial image application red tide monitoring on the aquaculture fields in the coastal waters of the South Sea, Korea  

Oh, Seung-Yeol (Department of Spatial Information Engineering, Pukyong National University)
Kim, Dae-Hyun (OCEANTECH CO.)
Yoon, Hong-Joo (Department of Spatial Information Engineering, Pukyong National University)
Publication Information
Korean Journal of Remote Sensing / v.32, no.2, 2016 , pp. 87-96 More about this Journal
Abstract
Red tide, causes aquaculture industry the damages in Korea every summer, was usually detected by using satellite, aquaculture information was difficult to detect by using satellite. Therefore, we suggests the method for detecting the red tide using the coastal observation and the product from the unmanned aerial Vehicle. As a result, we obtained the high resolution unmanned aerial Vehicle images, detected the red tide by using the unsupervised classification from the true color images and the simple algorithm from the RGB color images. Compared the previous color images, unmanned aerial Vehicle images were clearly classified the ocean color, we were able to identify the red tide distribution in sea surface. These methods were determined to accurately monitor the red tide distribution on the aquaculture fields in the coastal waters where is established the aquaculture.
Keywords
Red-Tide detecting; UAV; K-means; Red-Tide Index;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
연도 인용수 순위
1 Ahn, Y. H. and P. Shanmugam, 2006. Detecting the red tide algal bloom from satellite ocean color observations in optically complex Northeast Asia Coastal waters, Remote Sensing of Environment, 103: 419-437.   DOI
2 Ahn, Y. H., P. Shanmugam, J. H. Ryu, and J. C. Jeong, 2006. Satellite detection of harmful algal bloom occurrences in Korean waters, Harmful Algae, 5: 213-231.   DOI
3 Hu, C., F. E. Muller Karger, C. Taylor, K. L. Carder, C. Kelble, E. Johns, and C. A. Heil, 2005. Red tide detection and tracing using MODIS fluorescence data: A regional example in SW Florida coastal waters, Remote Sensing of Environment, 97: 311-321.   DOI
4 Hu, C., F. E. Muller Karger, D. C. Biggs, K. L. Carder, B. Nababan, D, Dadeau, and J. Vandernloemen, 2003. Comparison of ship and satellite biooptical measurements on the continental margin of the NE Gulf of Mexico, International Journal of Remote Sensing, 24(13): 2597-2612.   DOI
5 Hu, C., F. E. Muller Karger, G. A. Vargo, M. B. Neely, and E. Johns, 2004. Linkages between coastal runoff and the Florida Keys ecosystem: A study of a dark plume event, Geophysical Research Letter, 31: doi:10.1029/2004GL020382.
6 Ishizaka, J., Y. Kitaura, Y. Touke, H. Sasaki, A. Tanaka, H. Murakami, T. Suzuki, K. Matsuoka, and H. Nakata, 2006. Satellite detection of red ride in Ariake Sound, 1998-2001, Journal of Oceanography, 62: 37-45.   DOI
7 Kang, Y. S., H. G. Kim, W. A. Lim, C. K. Lee, S. G. Lee, and S. Y. Kim, 2002. An unusual coastal environment and Cochlodinium polykrikoides blooms in 1995 in the South Sea of Korea, Journal of the Korean Society of Oceanograp, 37(4): 212-223.
8 Lee, M. O., B. K. Kim, Y. Kwon, and J. K. Kim, 2009. Characteristics of the marine environment and algal blooms in Gamak Bay, Fisheries Science, 75: 410-411.
9 Lee, Y. S., 2006. Factors affecting outbreaks of highdensity Cochlodinium polykrikoides red tides in the coastal seawaters around Yeosu and Tongyeong, Korea, Marine Pollution and Bulletin, 52: 1249-1259.   DOI
10 NIFS, 2000. Red-Tide (III), National Institute of Fisheries Science.
11 NIFS, 2003. National Report on HABs in Korea, National Institute of Fisheries Science. National Institute of Fisheries Science Red-Tide Information System (www.nifs.go.kr/portal/external/environment/redtide/index.jsp).
12 Son, Y. B., J. H. Yoo, J. H. No, S. J. Joo, and S. H. Kim, 2012. Climatological variability of satellite-derived sea surface temperature and Chlorophyll in the South Sea of Korea and East China Sea. Ocean and Polar Research, 34(2): 201-218(In Korean with English Abstract).   DOI
13 Son, Y. B., J. Ishizaka, J. C. Jeong, H. C. Kim, and T. Lee, 2011. Cochlodinium polykrikoides red ride detection in the South Sea of Korea using spectral classification of MODIS data, Ocean Science Journal, 46(4): 239-263.   DOI
14 Son, Y. B., T. H. Lee, D. R. Choi, S. T. Jang, C. H. Kim, Y. H. Ahn, J. H. Ryu, M. K. Kim, S. K. Jung, and J. Ishizaka, 2010. Spatial and temporal variations of satellite-derived 10-year surface Particulate Organic Carbon (POC) in the East China Sea, Journal of the Korean Society of Remote Sensing, 26(4): 421-437(In Korean with English Abstract).   DOI
15 Stumpf, R. P., M. E. Culver, P. A. Tester, M. Tomlinson, G. J. Kirkpatrick, B. A. Pederson, E. Truby, V. Ransibrahmanakuf, and M. Soracco, 2003. Monitoring Karenia brevis blooms in the Gulf of Mexico using satellite ocean color imagery and other data, Harmful Algae, 2: 147-160.   DOI
16 Tomlinson, M. C., R. P. Stumpf, V. Ransibrahmanakul, E. W. Turby, G.; J. Kirkpatrick, B. A. Perderson, A. V. Gabriel, and C. A. Heil, 2004. Evaluation of the use of SeaWiFS imagery for detecting Karenia brevia harmful algal blooms in the eastern Gulf of Mexico, Remote Sensing of Environment, 91: 293-303.   DOI
17 Suh, Y. S., L. H. Jang, N. K. Lee, and J. Ishizaka, 2004. Feasibility of red tide detection around Korea waters using satellite remote sensing, Journal of Fisher Science Technology, 7(3): 148-162.