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Spatiotemporal Pattern Validation of Chlorophyll-a Concentrations in Lake Okeechobee, Florida using a Comparative MODIS Image Mining Approach
Citation:
Chang, N., Y. J. Yang, A. Daranpob, K. Jin, AND T. James. Spatiotemporal Pattern Validation of Chlorophyll-a Concentrations in Lake Okeechobee, Florida using a Comparative MODIS Image Mining Approach . DOI:10.1080/01431161.2011.608089 (2011) (ed.), International Journal of Remote Sensing. Taylor & Francis Group, London, Uk, 33(7):2233-2260, (2012).
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To Share Information
Description:
Lake Okeechobee, Florida, is the second largest freshwater lake in the U.S. The lake has been threatened in recent decades by excessive phosphorus loading, harmful high and low water levels, and rapid expansion of exotic plants (Folks, 2005). Environmental impacts of hurricanes on Lake Okeechobee are of concern because of the shallow lake depth, hurricanes with strong wind may disturb the mud on lake bed and re-suspend nutrients (e.g., phosphorus) into the water column providing a source of available phosphorus for phytoplankton uptake. Consequently, as long as the temperature is high and the sun light can penetrate into water columns in depth, nutrient-enriched lake water has likely resulted in phytoplankton overgrowth. These algal blooms, in the time scale from a few hours to a few days, can be quantified by the measurements of chlorophyll-a concentrations. However, in-situ water quality monitoring is time-consuming and costly. The multispectral remote sensing by sensors onboard satellites is an effective alternative to detect and quantify levels of chlorophyll-a contained in most phytoplankton. The objective of this study is to demonstrate the use of Moderate Resolution Imaging Spectroadiometer (MODIS) Terra Surface Reflectance 8-Day images to estimate the chlorophyll-a concentrations in Lake Okeechobee and further, to reveal the hurricane impacts on lake water quality. We have demonstrated in this study that using the genetic programming models helps information retrieval for spatiotemporal mapping of chlorophyll-a concentrations in the lake. Specifically, the generic programming (GP) modeling.
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Spatiotemporal Pattern Validation of Chlorophyll-a Concentrations in Lake Okeechobee, Florida using a Comparative MODIS Image Mining Approach
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