| one publication added to basket [304405] | Overview of hyperspectral remote sensing for mapping marine benthic habitats from airborne and underwater sensors
Dierssen, H.M. (2013). Overview of hyperspectral remote sensing for mapping marine benthic habitats from airborne and underwater sensors, in: Mouroulis, P. et al. Imaging Spectrometry XVIII. Proceedings of SPIE, the International Society for Optical Engineering, 8870: pp. 88700L. https://dx.doi.org/10.1117/12.2026529
In: Mouroulis, P.; Pagano, T.S. (Ed.) (2013). Imaging Spectrometry XVIII. Proceedings of SPIE, the International Society for Optical Engineering, 8870. SPIE: Washington. ISBN 9780819497208. , meer
In: Proceedings of SPIE, the International Society for Optical Engineering. SPIE: Bellingham, WA. ISSN 0277-786X; e-ISSN 1996-756X, meer
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Documenttype: Congresbijdrage
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| Abstract |
The seafloor, with its diverse and dynamic benthic habitats varying on meter to centimeter scales, is difficult to accurately monitor with traditional techniques. The technology used to build imaging spectrometers has rapidly advanced in recent years with the advent of smaller sensors and better signal-to-noise capabilities that has facilitated their use in mapping fine-scale benthic features. Here, the use of such sensors for hyperspectral remote sensing of the seafloor from both airborne and underwater platforms is discussed. Benthic constituents provide a so-called optical fingerprint with spectral properties that are often too subtle to be discerned with simple color photographs or multichannel spectrometers. Applications include the recent field validation of the airborne Portable Remote Imaging SpectroMeter (PRISM), a new imaging sensor package optimized for coastal ocean processes in Elkorn Slough California. In these turbid sediment-laden waters, only subtle spectral differences differentiate seafloor with sediment from that with eelgrass. The ultimate goal is to provide robust radiometric approaches that accurately consider light attenuation by the water column and are able to be applied to diverse habitats without considerable foreknowledge. |
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