IJG  Vol.4 No.6 A , August 2013
Estimation of Growth Area of Aquatic Macrophytes Expanding Spontaneously in Lake Shinji Using ASTER Data
ABSTRACT

In this study, we estimated the growth area of aquatic macrophytes that have expanded spontaneously in Lake Shinji, located in eastern Shimane Prefecture, Japan, using Terra satellite Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data. Visible and near infrared ASTER data from April, August, and September 2012 were used. The water depth at which ASTER can detect submersed aquatic macrophytes using in situ spectral reflectance of aquatic macrophytes and a bio-optical model was also examined. As a result, when the threshold value of a normalized difference vegetation index (NDVI) was set to 0, only aquatic macrophytes up to a depth of approximately 10 cm could be detected. The growth area of aquatic macrophytes detected by NDVI from ASTER data was in relatively good agreement with the growth area as observed by aerial photography.


Cite this paper
Y. Sakuno and H. Kunii, "Estimation of Growth Area of Aquatic Macrophytes Expanding Spontaneously in Lake Shinji Using ASTER Data," International Journal of Geosciences, Vol. 4 No. 6, 2013, pp. 1-5. doi: 10.4236/ijg.2013.46A1001.
References
[1]   M. Scheffer and S. R. Carpenter, “Catastrophic Regime Shifts in Ecosystems: Linking Theory to Observation,” Trends in Ecology & Evolution, Vol. 18, No. 12, 2003, pp. 648-656. doi:10.1016/j.tree.2003.09.002

[2]   I. Blindow, A. Hargeby, J. Meyercordt and H. Schubert, “Primary Production in Two Shallow Lakes with Contrasting Plant form Dominance: A Paradox of Enrichment?” Limnology and Oceanography, Vol. 51, No. 6, 2006, pp. 2711-2721. doi:10.4319/lo.2006.51.6.2711

[3]   M. Nakamura, M. Yamamuro, M. Ishikawa and H. Nishimura, “Role of the Bivalve Corbicula Japonica in the Nitrogen Cycle in a Mesohaline Lagoon,” Marine Biology, Vol. 99, No. 3, 1988, pp. 369-374. doi:10.1007/BF02112129

[4]   M. Yamamuro, “Abundance and Size Distribution of Sublittoral Meiobenthos along Estuarine Salinity Gradients,” Journal of Marine Systems, Vol. 26, No. 2, 2000, pp. 135-143. doi:10.1016/S0924-7963(00)00050-6

[5]   Laboratory of Analytical Chemistry of Shimane University, “Monthly Report of Water Quality in Lake Shinji and Lake Nakaumi,” 1994.

[6]   A. Albert and C. Mobley, “An Analytical Model for Subsurface Irradiance and Remote Sensing Reflectance in Deep and Shallow Case-2 Waters,” Optics Express, Vol. 11, No. 22, 2003, pp. 2873-2890. doi:10.1364/OE.11.002873

[7]   R. G. Lathrop, T. M. Lillesand and B. S. Yandell, “Testing the Utility of Simple Multi-Date Thematic Mapper Calibration Algorithms for Monitoring Turbid Inland Waters,” International Journal of Remote Sensing, Vol. 12, No. 10, 1991, pp. 2045-2063. doi:10.1080/01431169108955235

[8]   P. T. Wolter, C. A. Johnston and G. J. Niemi, “Mapping Submergent Aquatic Vegetation in the US Great Lakes Using Quickbird Satellite Data,” International Journal of Remote Sensing, Vol. 26, No. 23, 2005, pp. 5255-5274. doi:10.1080/01431160500219208

[9]   O. K. Dogan, Z. Akyurek and M. Beklioglu, “Identification and Mapping of Submerged Plants in a Shallow Lake Using Quickbird Satellite Data,” Journal of Environmental Management, Vol. 90, No. 7, 2009, pp. 2138-2143. doi:10.1016/j.jenvman.2007.06.022

[10]   S. Ackleson and V. Klemas, “Remote Sensing of Submerged Aquatic Vegetation in Lower Chesapeake Bay: A Comparison of Landsat MSS to TM Imagery,” Remote Sensing of Environment, Vol. 22, No. 2, 1987, pp. 235-248. doi:10.1016/0034-4257(87)90060-5

[11]   J. Everitt, C. Yang, D. Escobar, C. Webster, R. Lonard and M. Davis, “Using Remote Sensing and Spatial Information Technologies to Detect and Map Two Aquatic Macrophytes,” Journal of Aquatic Plant Management, Vol. 37, 1999, pp. 71-80.

 
 
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