Exploring the nutrient inputs and cycles in Tampa Bay and coastal watersheds using MODIS images and data mining

Ni-Bin Chang; Zhemin Xuan

doi:10.1117/12.891871

15 September 2011 Exploring the nutrient inputs and cycles in Tampa Bay and coastal watersheds using MODIS images and data mining

Ni-Bin Chang, Zhemin Xuan

Author Affiliations +

Proceedings Volume 8156, Remote Sensing and Modeling of Ecosystems for Sustainability VIII; 81560C (2011) https://doi.org/10.1117/12.891871
Event: SPIE Optical Engineering + Applications, 2011, San Diego, California, United States

Abstract

Excessive nutrients, which may be represented as Total Nitrogen (TN) and Total Phosphorus (TP) levels, in natural water systems have proven to cause high levels of algae production. The process of phytoplankton growth which consumes the excess TN and TP in a water body can also be related to the changing water quality levels, such as Dissolved Oxygen (DO), chlorophyll-a, and turbidity, associated with their changes in absorbance of natural radiation. This paper explores spatiotemporal nutrient patterns in Tampa Bay, Florida with the aid of Moderate Resolution Imaging Spectroradiometer or MODIS images and Genetic Programming (GP) models that are deigned to link those relevant water quality parameters in aquatic environments.

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Ni-Bin Chang and Zhemin Xuan "Exploring the nutrient inputs and cycles in Tampa Bay and coastal watersheds using MODIS images and data mining", Proc. SPIE 8156, Remote Sensing and Modeling of Ecosystems for Sustainability VIII, 81560C (15 September 2011); https://doi.org/10.1117/12.891871

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