1. Stray light effects in above-water remote-sensing reflectance from hyperspectral radiometers
- Author
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Marco Talone, Ilmar Ansko, Giuseppe Zibordi, Joel Kuusk, and Andrew Clive Banks
- Subjects
Radiometer ,010504 meteorology & atmospheric sciences ,business.industry ,Stray light ,Materials Science (miscellaneous) ,Irradiance ,Hyperspectral imaging ,01 natural sciences ,Industrial and Manufacturing Engineering ,010309 optics ,Optics ,Ocean color ,0103 physical sciences ,Radiance ,Environmental science ,Radiometry ,Water remote sensing ,Business and International Management ,business ,0105 earth and related environmental sciences ,Remote sensing - Abstract
Stray light perturbations are unwanted distortions of the measured spectrum due to the nonideal performance of optical radiometers. Because of this, stray light characterization and correction is essential when accurate radiometric measurements are a necessity. In agreement with such a need, this study focused on stray light correction of hyperspectral radiometers widely applied for above-water measurements to determine the remote-sensing reflectance (RRS). Stray light of sample radiometers was experimentally characterized and a correction algorithm was developed and applied to field measurements performed in the Mediterranean Sea. Results indicate that mean stray light corrections are appreciable, with values generally varying from −1% to +1% in the 400–700 nm spectral region for downward irradiance and sky radiance, and from −1% to +4% for total radiance from the sea. Mean corrections for data products such as RRS exhibit values that depend on water type varying between −0.5% and +1% in the blue–green spectral region, with peaks up to 9% in the red in eutrophic waters. The possibility of using one common stray light correction matrix for the analyzed class of radiometers was also investigated. Results centered on RRS support such a feasibility at the expense of an increment of the uncertainty typically well below 0.5% in the blue–green and up to 1% in the red, assuming sensors are based on spectrographs from the same production batch.
- Published
- 2016
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