Title

Monitoring Nutrient Concentrations In Tampa Bay With Modis Images And Machine Learning Models

Keywords

coastal bay; genetic programming; MODIS; nutrient monitoring; Remote sensing; wastewater treatment

Abstract

This paper explores the spatiotemporal nutrient patterns in Tampa Bay, Florida with the aid of Moderate Resolution Imaging Spectroradiometer (MODIS) images and Genetic Programming (GP) models that are designed to link Total Phosphorus (TP) levels and remote sensing reflectance bands in aquatic environments. In-situ data were drawn from a local database to support the calibration and validation of the GP model. The GP models show the effective capacity to demonstrating the snapshots of spatiotemporal distributions of TP across the Bay, which helps to delineate the short-term seasonality effect and the global trend of TP in the coastal bay. The model output can provide informative reference for the establishment of contingency plans in treating nutrients-rich runoff. © 2013 IEEE.

Publication Date

8-14-2013

Publication Title

2013 10th IEEE International Conference on Networking, Sensing and Control, ICNSC 2013

Number of Pages

702-707

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/ICNSC.2013.6548824

Socpus ID

84881282093 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84881282093

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