Next Article in Journal
Application of a Land Surface Model Using Remote Sensing Data for High Resolution Simulations of Terrestrial Processes
Next Article in Special Issue
Interannual Variation in Phytoplankton Primary Production at A Global Scale
Previous Article in Journal
A Downscaling Method for Improving the Spatial Resolution of AMSR-E Derived Soil Moisture Product Based on MSG-SEVIRI Data
Previous Article in Special Issue
Time-Space Variability of Chlorophyll-a and Associated Physical Variables within the Region off Central-Southern Chile
Remote Sens. 2013, 5(12), 6812-6837; doi:10.3390/rs5126812
Article

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

1
, 2,* , 3
, 4
, 5
, 1
, 6
, 1
 and 4,7
Received: 19 October 2013; in revised form: 25 November 2013 / Accepted: 26 November 2013 / Published: 6 December 2013
(This article belongs to the Special Issue Remote Sensing of Phytoplankton)
View Full-Text   |   Download PDF [1917 KB, uploaded 19 June 2014]   |   Browse Figures
Abstract: 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.
Keywords: hyperspectral remote sensing; phytoplankton; absorption; ocean optics hyperspectral remote sensing; phytoplankton; absorption; ocean optics
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Export to BibTeX |
EndNote


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


Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert