Modeling satellite imaging sensors over optically complex bodies of water

Robert Nevins; Aaron Gerace

doi:10.1117/12.2015501

18 May 2013 Modeling satellite imaging sensors over optically complex bodies of water

Robert Nevins, Aaron Gerace

Proceedings Volume 8743, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIX; 87431W (2013) https://doi.org/10.1117/12.2015501
Event: SPIE Defense, Security, and Sensing, 2013, Baltimore, Maryland, United States

Abstract

Although several currently operating remote sensing satellites can take effective data from case-1 waters, which are dominated by phytoplankton, few instruments have the appropriate spatial and radiometric resolution for taking effective data from Case 2 waters, which contain significant levels of chlorophyll, suspended material, and color-dissolved organic matter. The Operational Land Imager, which was launched on February 11^th 2013, should have sufficient spatial and radiometric resolution to take useful data from Case 2 waters as well as the continental Earth. The purpose of this study was to compare the constituent retrieval accuracy of the Operational Land Imager over these waters to that of existing sensors. The models used to evaluate the sensors were based on signal-to-noise ratios calculated from image data, spectral response functions, and bit depths of each satellite. The sensor models were used to sample radiance spectra from different Hydrolight simulations, which were calculated based on user-specified levels of the Case 2 constituents. Then, the concentrations were retrieved for each satellite based on the sensor models, and the error was found with respect to the known levels for each spectral curve. Thus, we present an approximation of how effective the Operational Land Imager will be for monitoring Case 2 waters, compared to existing sensors.

Citation Download Citation

Robert Nevins and Aaron Gerace "Modeling satellite imaging sensors over optically complex bodies of water", Proc. SPIE 8743, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIX, 87431W (18 May 2013); https://doi.org/10.1117/12.2015501

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