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Remote Sens. 2016, 8(2), 150;

The Potential of Autonomous Ship-Borne Hyperspectral Radiometers for the Validation of Ocean Color Radiometry Data

Commonwealth Scientific and Industrial Research Organisation (CSIRO), Oceans and Atmosphere, Hobart 7001, Australia
National Research Council of Italy, Institute for Electromagnetic Sensing of the Environment (CNR-IREA), Milano 20133, Italy
National Research Council of Italy, Institute of Atmospheric Sciences and Climate (CNR-ISAC), ROME 00133, Italy
Commonwealth Scientific and Industrial Research Organisation (CSIRO), Land and Water, Townsville 4811, Australia
Author to whom correspondence should be addressed.
Academic Editors: Changyong Cao, Xiaofeng Li and Prasad S. Thenkabail
Received: 29 November 2015 / Revised: 1 February 2016 / Accepted: 4 February 2016 / Published: 16 February 2016
(This article belongs to the Collection Visible Infrared Imaging Radiometers and Applications)
Full-Text   |   PDF [3587 KB, uploaded 16 February 2016]   |  


Calibration and validation of satellite observations are essential and on-going tasks to ensure compliance with mission accuracy requirements. An automated above water hyperspectral radiometer significantly augmented Australia’s ability to contribute to global and regional ocean color validation and algorithm design activities. The hyperspectral data can be re-sampled for comparison with current and future sensor wavebands. The continuous spectral acquisition along the ship track enables spatial resampling to match satellite footprint. This study reports spectral comparisons of the radiometer data with Visible Infrared Imaging Radiometer Suite (VIIRS) and Moderate Resolution Imaging Spectroradiometer (MODIS)-Aqua for contrasting water types in tropical waters off northern Australia based on the standard NIR atmospheric correction implemented in SeaDAS. Consistent match-ups are shown for transects of up to 50 km over a range of reflectance values. The MODIS and VIIRS satellite reflectance data consistently underestimated the in situ spectra in the blue with a bias relative to the “dynamic above water radiance and irradiance collector” (DALEC) at 443 nm ranging from 9.8 × 10−4 to 3.1 × 10−3 sr−1. Automated acquisition has produced good quality data under standard operating and maintenance procedures. A sensitivity analysis explored the effects of some assumptions in the data reduction methods, indicating the need for a comprehensive investigation and quantification of each source of uncertainty in the estimate of the DALEC reflectances. Deployment on a Research Vessel provides the potential for the radiometric data to be combined with other sampling and observational activities to contribute to algorithm development in the wider bio-optical research community. View Full-Text
Keywords: ocean color radiometry; reflectance; ship-borne radiometry; validation ocean color radiometry; reflectance; ship-borne radiometry; validation

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Brando, V.E.; Lovell, J.L.; King, E.A.; Boadle, D.; Scott, R.; Schroeder, T. The Potential of Autonomous Ship-Borne Hyperspectral Radiometers for the Validation of Ocean Color Radiometry Data. Remote Sens. 2016, 8, 150.

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