Use of MODIS satellite images to investigate the chlorophyll-a concentrations in Lake Okeechobee, Florida

Ammarin Makkeasorn; Chi-Han Cheng; Ni-Bin Chang

doi:10.1117/12.802272

10 September 2008 Use of MODIS satellite images to investigate the chlorophyll-a concentrations in Lake Okeechobee, Florida

Ammarin Makkeasorn, Chi-Han Cheng, Ni-Bin Chang

Author Affiliations +

Proceedings Volume 7083, Remote Sensing and Modeling of Ecosystems for Sustainability V; 708309 (2008) https://doi.org/10.1117/12.802272
Event: Optical Engineering + Applications, 2008, San Diego, California, United States

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. 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 have led to phytoplankton blooms. These blooms are quantified by measurement of chlorophyll-a concentrations. While the in-situ water quality monitoring is time-consuming 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 8-Day images to estimate the chlorophyll-a concentrations in the Lake Okeechobee. Using the integrated genetic programming and multiple linear regression models helps the information retrieval for spatial mapping of chlorophyll-a concentrations.

Citation Download Citation

Ammarin Makkeasorn, Chi-Han Cheng, and Ni-Bin Chang "Use of MODIS satellite images to investigate the chlorophyll-a concentrations in Lake Okeechobee, Florida", Proc. SPIE 7083, Remote Sensing and Modeling of Ecosystems for Sustainability V, 708309 (10 September 2008); https://doi.org/10.1117/12.802272

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available