Fusion of hyperspectral remote sensing data for near real-time monitoring of microcystin distribution in Lake Erie

Benjamin Vannah; Ni-Bin Chang

doi:10.1117/12.2026933

24 September 2013 Fusion of hyperspectral remote sensing data for near real-time monitoring of microcystin distribution in Lake Erie

Benjamin Vannah, Ni-Bin Chang

Author Affiliations +

Proceedings Volume 8871, Satellite Data Compression, Communications, and Processing IX; 88710M (2013) https://doi.org/10.1117/12.2026933
Event: SPIE Optical Engineering + Applications, 2013, San Diego, California, United States

Abstract

Urban growth and agricultural production have caused an influx of nutrients into Lake Erie, leading to eutrophic zones. These conditions result in the formation of algal blooms, some of which are toxic due to the presence of Microcystis (a cyanobacteria), which produces the hepatotoxin microcystin. Microcystis has a unique advantage over its competition as a result of the invasive zebra mussel population that filters algae out of the water column except for the toxic Microcystis. The toxin threatens human health and the ecosystem, and it is a concern for water treatment plants using the lake water as a tap water source. This presentation demonstrates the prototype of a near real-time early warning system using Integrated Data Fusion techniques with the aid of both hyperspectral remote sensing data to determine spatiotemporal microcystin concentrations. The temporal resolution of MODIS is fused with the higher spatial and spectral resolution of MERIS to create synthetic images on a daily basis. As a demonstration, the spatiotemporal distributions of microcystin within western Lake Erie are reconstructed using the band data from the fused products and applied machine-learning techniques. Analysis of the results through statistical indices confirmed that the this type of algorithm has better potential to accurately estimating microcystin concentrations in the lake, which is better than current two band models and other computational intelligence models.

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Benjamin Vannah and Ni-Bin Chang "Fusion of hyperspectral remote sensing data for near real-time monitoring of microcystin distribution in Lake Erie", Proc. SPIE 8871, Satellite Data Compression, Communications, and Processing IX, 88710M (24 September 2013); https://doi.org/10.1117/12.2026933

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KEYWORDS

Data modeling

MODIS

Reflectivity

Image fusion

Data fusion

Satellites

Statistical modeling

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