Marine Reflectance in the Short Wave Infrared ( nm, esp nm) For extremely turbid waters
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1 Marine Reflectance in the Short Wave Infrared ( nm, esp nm) For extremely turbid waters
2 Belcolour MICAS heritage Knaeps, E., Raymaekers, D., Sterckx, S, Ruddick, K., Dogliotti, A.I In situ evidence of non-zero reflectance in the OLCI 1020nm band for a turbid estuary, Remote Sensing of Environment, Sentinel special issue, 112 Pontoon Sint Anna Pure water absorption coefficient (Pope & Fry, 1997; Kou et al., 1993)
3 Water-leaving reflectance Background: Near Infrared ( nm) reflectance [Ruddick, De Cauwer, Park and Moore. Seaborne measurements of near infrared water-leaving reflectance: The similarity spectrum. Limnol. Oceanogr., 51(2), 2006, ] «Similarity spectrum» what does that mean? Wavelength (nm) All reflectance spectra have the same shape here
4 Theory: Near Infrared ( nm) reflectance [Ruddick, De Cauwer, Park and Moore. Seaborne measurements of near infrared water-leaving reflectance: The similarity spectrum. Limnol. Oceanogr., 51(2), 2006, ] Gordon/Morel reflectance models give: L f ' bb w E Q a b 0 w 0 d Supposing for the near infrared ( nm): f ' indepedent of wavelength, Q bb bb b and b b >>a b0 b a a b w b a bb bb0 independent of wavelength a Reflectance spectral shape depends on a w (λ), magnitude on b b0 b
5 Theory: Near Infrared ( nm) reflectance [Ruddick, De Cauwer, Park and Moore. Seaborne measurements of near infrared water-leaving reflectance: The similarity spectrum. Limnol. Oceanogr., 51(2), 2006, ] Simple model for Water Reflectance in NIR ( nm) is: w n 780nm bb0* * TSM * 780nm TSM=>Magnitude Pure water absorption =>Shape Particulate backscatter slope =2 nd order High refl non-linearity, BRDF, etc =2 nd order
6 Water-leaving reflectance normalised at 780nm Validation of simple NIR theory [Ruddick, De Cauwer, Park and Moore. Seaborne measurements of near infrared water-leaving reflectance: The similarity spectrum. Limnol. Oceanogr., 51(2), 2006, ] Comparing seaborne reflectance data (average of 27 measurement) with optical theory and lab water absorption (temp=10, 22 C and b b spectrum n=0,1) Wavelength (nm) 1/a w (Kou et al), 22 C, n =0 1/a w (Kou et al), 22 C, n =1 1/a w (Kou et al), 10 C, n =0 Seaborne measurements
7 Validation: Near Infrared ( nm) reflectance [Ruddick, De Cauwer, Park and Moore. Seaborne measurements of near infrared water-leaving reflectance: The similarity spectrum. Limnol. Oceanogr., 51(2), 2006, ] Simple model for Water Reflectance in NIR ( nm) is: w LIMITATIONS: High reflectance non-linearity [Doron et al, 2011; Wang et al, 2012] Pure water absorption variation with temperature BRDF (viewing and sun angles) n 780nm bb0* * TSM * 780nm TSM=>Magnitude Pure water absorption =>Shape Particulate backscatter slope =2 nd order High refl non-linearity, BRDF, etc =2 nd order
8 Theory: Near SWIR Infrared ( nm) ( nm) reflectance Simple model for Water Reflectance in NIR SWIR ( nm) ( nm) is: w Data needed for: Pure water optical properties [Röttgers et al, 2011] Spectral Particulate backscatter : new SeaSWIR BB instrument Reflectance measurements for validation: ASD, CIMEL/SeaPRISM n 780nm bb0* * TSM * 780nm TSM=>Magnitude Pure water absorption =>Shape Particulate backscatter slope =2 nd order High refl non-linearity, BRDF, etc =2 nd order
9 NIR/SWIR Rrs simple model and n_bbp w n 780nm bb0* * TSM * 780nm
10 Conclusions Marine reflectance in the SWIR will be: Proportional to bbp (or TSM) Shaped by pure water absorption and bbp spectrum exponent SeaSWIR project is acquiring cal/val data: Particulate backscatter ( nm) Marine Reflectance (ASD: nm, CIMEL: 1020nm) Total Suspended Matter, turbidity Other bio-optical properties (ap, etc.) and running Hydrolight, more accurate than simple theoretical model Acknowledgement: Belgian Science Policy Office SeaSWIR project funding
11 Something Completely Different Theory (II) Sunglint in the SWIR For AATSR processing there is a salinity-correction for the sea surface Fresnel coeff. in the SWIR [Röttgers et al, 2011]: so can sunglint reflection be used as a basis for a high resolution (10m!) Coastal Zone Salinity Scanner?
The SeaSWIR dataset. Directorate Natural Environments, Brussels, 1200, Belgium
https://doi.org/10.5194/essd-10-1439-2018 Author(s) 2018. This work is distributed under the Creative Commons Attribution 4.0 License. The SeaSWIR dataset Els Knaeps 1, David Doxaran 2, Ana Dogliotti 3,
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