Paper
20 August 2009 Monitoring the algal bloom event in Lake Okeechobee, Florida under Tropical Cyclone Fay impacts using MODIS/Terra images
Ammarin Daranpob, Ni-Bin Chang, Kang-Ren Jin, Y. Jeffrey Yang
Author Affiliations +
Abstract
Lake Okeechobee, Florida is the largest freshwater lake in the southeastern U.S. It is a key component in the hydrologic system of South Florida providing water supply for agriculture, the environment, and urban areas. Excessive phosphorus loads, from the Okeechobee watershed over the last few decades have led to increased eutrophication of this lake. Much of the excess phosphorus has been sequestered into the sediments. Sediment water interactions, including diffusive fluxes and sediment resuspension are a source of available phosphorus for phytoplankton. As a consequence, nutrient-enriched lake water has led to phytoplankton blooms from time to time. These blooms are often quantified by measurement of chlorophyll-a concentrations. While the in-situ water quality monitoring is time-consuming, sporadic, and costly, multispectral remote sensing sensors onboard satellites can detect chlorophyll-a contained in most phytoplankton efficiently. The objective of this study is to demonstrate the use of MODIS/Terra Surface Reflectance 1- Day images to capture the unique algal bloom event one week after the landfall of the hurricane Fay in mid-Sept. 2008. Use of the genetic programming model permits sound information retrieval for spatial mapping of chlorophyll-a concentrations, which help explain the mechanism as to why the algal bloom event occurred.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ammarin Daranpob, Ni-Bin Chang, Kang-Ren Jin, and Y. Jeffrey Yang "Monitoring the algal bloom event in Lake Okeechobee, Florida under Tropical Cyclone Fay impacts using MODIS/Terra images", Proc. SPIE 7454, Remote Sensing and Modeling of Ecosystems for Sustainability VI, 74540J (20 August 2009); https://doi.org/10.1117/12.824092
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
MODIS

Reflectivity

Calibration

Data modeling

Phosphorus

Remote sensing

Clouds

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