Relationship between Turbid Water and Coral Damage Distribution Using ALOS AVNIR-2 Images and Diving Survey Data Immediately after the Heavy Rain Disaster of the Amami-Oshima Island, Japan

DOI: 10.4236/ars.2015.41003   PDF   HTML   XML   2,598 Downloads   3,090 Views   Citations


To understand the relationship between turbid water and coral damage caused by the heavy rain disaster at the end of October 2010 in Amami-Oshima, Kagoshima Prefecture, Japan, turbid water and coral damage distribution monitoring was attempted using satellite imagery and a diving survey immediately after the disaster. ALOS AVNIR-2 images (spatial resolution: 10 m) on October 6 (before the disaster), October 24, October 30, and October 31 (after the disaster) were obtained as satellite data in 2010. The red-silt deposition index (RSI) map based on the method by Nadaoka and Tamura (1992) was also created. Moreover, a diving survey was conducted via the spot check method on December 18, 2010. As a result, comparison between the high turbidity (RSI) areas estimated using AVNIR-2 data and the coral damage areas judging from the field survey was considered relatively light. It is shown that satellite data such as AVNIR-2 can be a powerful tool to monitor damage distribution of coral reefs after heavy rain.

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Sakuno, Y. and Oki, K. (2015) Relationship between Turbid Water and Coral Damage Distribution Using ALOS AVNIR-2 Images and Diving Survey Data Immediately after the Heavy Rain Disaster of the Amami-Oshima Island, Japan. Advances in Remote Sensing, 4, 25-34. doi: 10.4236/ars.2015.41003.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] Gislason, S., Hassenkam, T., Nedel, S., Bovet, N., Eiriksdottir, E., Alfredsson, H., Hem, C., Balogh, Z, Dideriksen, K. and Oskarsson, N. (2011) Characterization of Eyjafjallajökull Volcanic Ash Particles and a Protocol for Rapid Risk Assessment. Proceedings of the National Academy of Sciences, 108, 7307-7312.
[2] Lekkas, E., Andreadakis, E., Kostaki, I. and Kapourani, E. (2011) Critical Factors for Run-Up and Impact of the Tohoku Earthquake Tsunami. International Journal of Geosciences, 2, 310-317.
[3] Yamano, H. and Tamura, M. (2004) Detection Limits of Coral Reef Bleaching by Satellite Remote Sensing: Simulation And Data Analysis. Remote Sensing of Environment, 90, 86-103.
[4] LeDrew, E.F., Holden, H., Wulder, M.A., Derksen, C. and Newman, C. (2004) A Spatial Statistical Operator Applied to Multidate Satellite Imagery for Identification of Coral Reef Stress. Remote Sensing of Environment, 91, 271-279.
[5] Omija, T. (2004) Terrestrial Inflow of Soils and Nutrients. Coral Reefs of Japan, 64-68.
[6] Omija, T. (1987) Survey on Pollution By Reddish Soil in Okinawa—A Convenient Measuring Method for Reddish Soil in Sediment and Reddish Soil Levels in Okinawa—Annual Report of Oklinawa Prefectural Institute of Public Health, 20, 100-110. (In Japanese)
[7] Nadaoka, K. and Tamura, H. (1992) LANDSAT/TM Based Analyses of the Problems Related to the Red-Silt Outflow from the Okinawa Island (in Japanese). Journal of the Remote Sensing Society of Japan, 12, 3-19. (In Japanese with English Abstract)
[8] Shimizu, T. (2008) Disaster Management Satellite System Development and International Cooperation Promotion in Asia. Quarterly Review, 27, 94-108.
[9] Nishihira, M. and Veron, J.E.N. (1995) Hermatypic Corals of Japan. Kaiyusha, Tokyo, 439.
[10] Nakai, T. and Oki, K. (2004) Amami Archipelago. Coral Reefs of Japan. Ministry of the Environment and J. C. R. Society, Tokyo, 172-174. (In Japanese)
[11] Ministry of the Environment and Japanese Coral Reef Society (2004) Coral Reefs of Japan. Ministry of the Environment and J. C. R. Society, Tokyo, 170-171. (In Japanese)
[12] Gordon, H.R. and Wang, M. (1994) Retrieval of Water-Leaving Radiance and Aerosol Optical Thickness over the Oceans with SeaWiFS: A Preliminary Algorithm. Applied Optics, 33, 443-452.
[13] Macfarlane, N. and Robinson, I. (1984) Atmospheric Correction of LANDSAT MSS Data for a Multidate Suspended Sediment Algorithm. International Journal of Remote Sensing, 5, 561-576.
[14] García, M.J.L. and Caselles, V. (1990) A Multi-Temporal Study of Chlorophyll-A Concentration in the Albufera Lagoon of Valencia, Spain, Using Thematic Mapper Data. International Journal of Remote Sensing, 11, 301-311.
[15] Oguma, H. and Yamagata, Y. (1997) Study on Effective Observing Season Selection to Produce the Wetland Vegetation Map. Journal of the Japan Society of Photogrammetry and Remote Sensing, 36, 5-16. (In Japanese with English Abstract)
[16] Yamamoto, K., Sato, S., Nakaza, E., Ootani, Y. and Horiguchi, T. (2000) Field Investigation on the Behavior of Red Soil Discharged over a Coral Reef Coast. Proceedings of Coastal Engineering, JSCE, 47, 1266-1270. (In Japanese)
[17] Mumby, P.J., Skirving, W., Strong, A.E., Hardy, J.T., LeDrew, E.F., Hochberg, E.J., Stumpf, R.P. and David, L.T. (2004) Remote Sensing of Coral Reefs and Their Physical Environment. Marine Pollution Bulletin, 48, 219-228.
[18] Maina, J., Venus, V., McClanahan, T.R. and Ateweberhan, M. (2008) Modelling Susceptibility of Coral Reefs to Environmental Stress Using Remote Sensing Data and GIS Models. Ecological Modelling, 212, 180-199.

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