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Open AccessArticle

Glint Removal Assessment to Estimate the Remote Sensing Reflectance in Inland Waters with Widely Differing Optical Properties

1
Department of Cartography, São Paulo State University—UNESP, Presidente Prudente, SP 19060-600, Brazil
2
Department of Environmental Engineering, São Paulo State University—UNESP, São José dos Campos, SP 12245-000, Brazil
3
Federal Institute of Education, Science and Technology of Pará State—IFPA, Castanhal, PA 68740-970, Brazil
*
Author to whom correspondence should be addressed.
Remote Sens. 2018, 10(10), 1655; https://doi.org/10.3390/rs10101655
Received: 3 September 2018 / Revised: 5 October 2018 / Accepted: 9 October 2018 / Published: 18 October 2018
(This article belongs to the Special Issue Remote Sensing of Inland Waters and Their Catchments)
The quality control of remote sensing reflectance (Rrs) is a challenging task in remote sensing applications, mainly in the retrieval of accurate in situ measurements carried out in optically complex aquatic systems. One of the main challenges is related to glint effect into the in situ measurements. Our study evaluates four different methods to reduce the glint effect from the Rrs spectra collected in cascade reservoirs with widely differing optical properties. The first (i) method adopts a constant coefficient for skylight correction (ρ) for any geometry viewing of in situ measurements and wind speed lower than 5 m·s−1; (ii) the second uses a look-up-table with variable ρ values accordingly to viewing geometry acquisition and wind speed; (iii) the third method is based on hyperspectral optimization to produce a spectral glint correction, and (iv) computes ρ as a function of wind speed. The glint effect corrected Rrs spectra were assessed using HydroLight simulations. The results showed that using the glint correction with spectral ρ achieved the lowest errors, however, in a Colored Dissolved Organic Matter (CDOM) dominated environment with no remarkable chlorophyll-a concentrations, the best method was the second. Besides, the results with spectral glint correction reduced almost 30% of errors. View Full-Text
Keywords: optically complex systems; inland waters; remote sensing accuracy optically complex systems; inland waters; remote sensing accuracy
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Bernardo, N.; Alcântara, E.; Watanabe, F.; Rodrigues, T.; Carmo, A.; Gomes, A.; Andrade, C. Glint Removal Assessment to Estimate the Remote Sensing Reflectance in Inland Waters with Widely Differing Optical Properties. Remote Sens. 2018, 10, 1655.

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