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Monitoring Lake Simcoe Water Clarity Using Landsat-5 TM Images

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Listed:
  • Xian Guan
  • Jonathan Li
  • William Booty

Abstract

This study focuses on utilizing satellite remote sensing to monitor the water clarity of Lake Simcoe, Ontario, Canada, which has been suffering from the overload of phosphorus (TP) and therefore eutrophication for decades. The dataset includes 22 cloud-free Landsat-5 Thematic Mapper (TM) images, as well as the nearly simultaneous in-situ observations from 15 stations on the lake. Compared to the general model used to estimate the Secchi Disk Transparency (SDT), a parameter for water clarity measurements, an improved model is developed, from the TM images. The results of these estimations are validated using the in-situ data by linear regression, and the accuracies are measured by the coefficient of determination R 2 . The results reveal an indication of high model fit between the majority of SDT predictions and the in-situ observations. Also, the improved SDT model provides higher prediction accuracies than the general one when applied to 68.2% (15 out of 22) of the images. The estimated clarity maps indicate that the turbid water is normally distributed at the nearshore areas and the northeastern region. Meanwhile, the southwestern lake has much clearer water than the other regions. In addition, the southern bay has always been suffering from a serious water quality problem even till now. The water clarity of Lake Simcoe shows strong seasonal patterns, that it is at its worst in August and September annually and much better in the other sampling seasons. On an overall scale, the lake water clarity kept relatively stable from 1987 until the fall of 1992, followed by a gradual increase until 2000, after a slight decrease, and lastly stayed consistent until the summer of 2008. Copyright Springer Science+Business Media B.V. 2011

Suggested Citation

  • Xian Guan & Jonathan Li & William Booty, 2011. "Monitoring Lake Simcoe Water Clarity Using Landsat-5 TM Images," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(8), pages 2015-2033, June.
    • Handle: RePEc:spr:waterr:v:25:y:2011:i:8:p:2015-2033
    DOI: 10.1007/s11269-011-9792-3
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    References listed on IDEAS

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    1. Manuel Mendoza & G. Bocco & M. Bravo & Erna Granados & W. Osterkamp, 2006. "Predicting Water-Surface Fluctuation of Continental Lakes: A RS and GIS Based Approach in Central Mexico," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 20(2), pages 291-311, April.
    2. Lawrence Kiage & Nan Walker, 2009. "Using NDVI from MODIS to Monitor Duckweed Bloom in Lake Maracaibo, Venezuela," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(6), pages 1125-1135, April.
    3. Guofeng Wu & Jan Leeuw & Yaolin Liu, 2009. "Understanding Seasonal Water Clarity Dynamics of Lake Dahuchi from In Situ and Remote Sensing Data," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(9), pages 1849-1861, July.
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    Cited by:

    1. Kaishan Song & Lin Li & Lenore Tedesco & Shuai Li & Kun Shi & Bob Hall, 2014. "Remote Estimation of Nutrients for a Drinking Water Source Through Adaptive Modeling," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(9), pages 2563-2581, July.

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