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Future Retrievals of Water Column Bio-Optical Properties using the Hyperspectral Infrared Imager (HyspIRI)

Département de Biologie, Unité Mixte Internationale Takuvik (CNRS & U. Laval), Université Laval, Pavillon Alexandre-Vachon 1045, avenue de la Médecine, Québec City, QC G1V 0A6, Canada
Joint Center for Earth Systems Technology, University of Maryland, Baltimore County, 5523 Research Park Drive, Baltimore, MD 21250, USA
Remote Sensing Division, Naval Research Laboratory, 4555 Overlook Avenue SW, Washington, DC 20375, USA
College of Earth Ocean and Environment, University of Delaware, Newark, DE 19716, USA
NASA Wallops Flight Facility, Wallops Island, VA 23337, USA
Institute of Marine Remote Sensing, College of Marine Sciences, University of South Florida, 
 140 7th Avenue S. St. Petersburg, FL 33701, USA
Pusan National University, Busan 609-735, Korea
Author to whom correspondence should be addressed.
Remote Sens. 2013, 5(12), 6812-6837;
Received: 19 October 2013 / Revised: 25 November 2013 / Accepted: 26 November 2013 / Published: 6 December 2013
(This article belongs to the Special Issue Remote Sensing of Phytoplankton)
Interpretation of remote sensing reflectance from coastal waters at different wavelengths of light yields valuable information about water column constituents, which in turn, gives information on a variety of processes occurring in coastal waters, such as primary production, biogeochemical cycles, sediment transport, coastal erosion, and harmful algal blooms. The Hyperspectral Infrared Imager (HyspIRI) is well suited to produce global, seasonal maps and specialized observations of coastal ecosystems and to improve our understanding of how phytoplankton communities are spatially distributed and structured, and how they function in coastal and inland waters. This paper draws from previously published studies on high-resolution, hyperspectral remote sensing of coastal and inland waters and provides an overview of how the HyspIRI mission could enable the retrieval of new aquatic biophysical products or improve the retrieval accuracy of existing satellite-derived products (e.g., inherent optical properties, phytoplankton functional types, pigment composition, chlorophyll-a concentration, etc.). The intent of this paper is to introduce the development of the HyspIRI mission to the coastal and inland remote sensing community and to provide information regarding several potential data products that were not originally part of the HyspIRI mission objectives but could be applicable to research related to coastal and inland waters. Further work toward quantitatively determining the extent and quality of these products, given the instrument and mission characteristics, is recommended. View Full-Text
Keywords: hyperspectral remote sensing; phytoplankton; absorption; ocean optics hyperspectral remote sensing; phytoplankton; absorption; ocean optics
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MDPI and ACS Style

Devred, E.; Turpie, K.R.; Moses, W.; Klemas, V.V.; Moisan, T.; Babin, M.; Toro-Farmer, G.; Forget, M.-H.; Jo, Y.-H. Future Retrievals of Water Column Bio-Optical Properties using the Hyperspectral Infrared Imager (HyspIRI). Remote Sens. 2013, 5, 6812-6837.

AMA Style

Devred E, Turpie KR, Moses W, Klemas VV, Moisan T, Babin M, Toro-Farmer G, Forget M-H, Jo Y-H. Future Retrievals of Water Column Bio-Optical Properties using the Hyperspectral Infrared Imager (HyspIRI). Remote Sensing. 2013; 5(12):6812-6837.

Chicago/Turabian Style

Devred, Emmanuel, Kevin R. Turpie, Wesley Moses, Victor V. Klemas, Tiffany Moisan, Marcel Babin, Gerardo Toro-Farmer, Marie-Hélène Forget, and Young-Heon Jo. 2013. "Future Retrievals of Water Column Bio-Optical Properties using the Hyperspectral Infrared Imager (HyspIRI)" Remote Sensing 5, no. 12: 6812-6837.

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