Next Article in Journal
Mapping and Forecasting Onsets of Harmful Algal Blooms Using MODIS Data over Coastal Waters Surrounding Charlotte County, Florida
Next Article in Special Issue
Decline in Transparency of Lake Hongze from Long-Term MODIS Observations: Possible Causes and Potential Significance
Previous Article in Journal
Near Real-Time Extracting Wildfire Spread Rate from Himawari-8 Satellite Data
Previous Article in Special Issue
Flood Hazard Assessment Supported by Reduced Cost Aerial Precision Photogrammetry
Open AccessArticle

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

Department of Cartography, São Paulo State University—UNESP, Presidente Prudente, SP 19060-600, Brazil
Department of Environmental Engineering, São Paulo State University—UNESP, São José dos Campos, SP 12245-000, Brazil
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;
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
Show Figures

Figure 1

MDPI and ACS Style

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.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Back to TopTop