Inland and coastal water quality retrieval Some challenges and new opportunities

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Inland and coastal water quality retrieval Some challenges and new opportunities Els Knaeps, Dries Raymaekers, Sindy Sterckx (VITO, Belgium) Kevin Ruddick, Bouchra Nechad (MUMM, Belgium) Ana Dogliotti (IAFE, Argentina) David Doxaran (LOV, France) Susanne Kratzer (Stockholm University, Sweden) GloboLakes Scientific Workshop, 10-12 December, Stirling 21/01/2013 1

Scheldt (Belgium) up to 400 mg l -1 Yangtze (China) up to several g l -1 La Plata (Argentina) up to 400 mg l -1 Gironde (France) up to several g l -1 APEX 2009 MODIS-Aqua 2003 MODIS-Aqua Landsat 2000 Wadden Sea (The Netherlands) Molse meren (Belgium) APEX 2010 21/01/2013 2 AHS/CASI 2007

Our test sites Dynamic environments Match up difficulties Need for detailed campaign planning 21/01/2013 3

Atm. path radiance Adjacency effects Sun glint sky glint air/water interface Absorption and backscattering of light by particles and water Phytoplankton Suspended sediment Dissolved carbon bottom reflectance 21/01/2013 4

Rwn/780 Adjacency correction - SIMEC A similarity NIR reflectance spectrum is defined by normalization at 780 nm (Ruddick et al., 2006). 7 6 5 4 3 2 1 0 680 700 720 740 760 780 800 820 840 860 880 900 wavelength (nm) Sterckx, S., E. Knaeps, K. Ruddick, 2011, Detection and Correction of Adjacency Effects in Hyperspectral Airborne Data of Coastal and Inland Waters: the Use of the Near Infrared Similarity Spectrum, International Journal of REMOTE SENSING, 32(21): 6479 6505 Knaeps, E., S. Sterckx, K. Ruddick, C. Giardino, B. Mariano, SIMEC, An Environment Correction For MERIS Based On The NIR Similarity Spectrum, proceedings Ocean Optics -> can be used to detect and correct adjacency effects 21/01/2013 5

SIMEC Background: Workflow Atmospheric correction (Modtran based) AOT from land targets or sun photometer readings ignoring adjacency effects Normalization at 780 nm Deviations from the NIR similarity spectrum = measure of the magnitude of the adjacency effect. Iteratively calculate contributing background until agreement with NIR similarity spectrum 21/01/2013 6 6

Rw SIMEC application to airborne data 0.06 0.05 0.04 0.03 J_A (without adjacency correction) Z_C (without adjacency correction) Z_C (with adjacency correction) J_A (with adjacency correction) Z (in-situ) J (in-situ) Sterckx S., Knaeps E., Ruddick K. International Journal of Remote Sensing Vol. 32, Iss. 21, 2011. 0.02 0.01 0 450 500 550 600 650 700 750 800 850 900 wavelength (nm) 21/01/2013 7

error Average err(711,780) SIMEC application to airborne data Example : Airborne CASI North Sea + Spuikom 0.025 0.02 0.015 0.01 0.005 0 0 200 400 600 800 1000 1200 1400 Approximate distance from coast (m) Distance from coast (m) 21/01/2013 8

SIMEC application to MERIS : Palgrunden Green squares : SIMEC/ICOL + ODESA Black diamonts : in-situ Red crosses : ODESA without SIMEC/ICOL SIMEC ICOL 21/01/2013 9

SIMEC application to MERIS : Palgrunden Green squares : SIMEC/ICOL + ODESA Black diamonts : in-situ Red crosses : ODESA without SIMEC/ICOL SIMEC ICOL 21/01/2013 10

SIMEC application to MERIS : North Sea Green squares : SIMEC/ICOL + ODESA Black diamonts : in-situ Red crosses : ODESA without SIMEC/ICOL SIMEC ICOL 21/01/2013 11

CONCLUSIONS AND FUTURE WORK (1)» SIMEC = sensor generic» Complementary to the ICOL adjacency correction implemented in BEAM.» focus on the further operationalisation of the algorithm by incorporation of SIMEC in a complete processing chain and linking it with automatic modules to derive AOT from land targets. 21/01/2013 12

Water leaving reflectance SWIR? SWIR is potentially interesting: Atmospheric transmission windows SWIR spectral bands available in future spaceborne sensors (e.g. Hyspiri, OLCI) Local decrease in pure water absorption SCHELDT 21/01/2013 13 Knaeps, E. et al., Remote Sensing of Environment 120 (2012) 133-144

water leaving reflectance SWIR? But: little knowledge available, no suitable instrumentation -> ASD spectrometer and Hydroscat with SWIR wavelengths E d (0+): downwelling irradiance above the surface. L u (a) total upwelling radiance from the water L sky (a) Downwelling sky radiance The water-leaving reflectance (Rw) was calculated using the following equation (Mobley, 1999): Rw = (Lw(a) ras * Lsky(a)) / Ed(a) 21/01/2013 14

Scheldt river ASD TRIOS 21/01/2013 15

Scheldt river: Belcolour MICAS heritage Pontoon Sint Anna Knaeps, E., Raymaekers, D., Sterckx, S, Ruddick, K., Dogliotti, A.I.. 2012. In situ evidence of non-zero reflectance in the OLCI 1020nm band for a turbid estuary, Remote Sensing of Environment, Sentinel special issue, 112 Pure water absorption coefficient (Pope & Fry, 1997; Kou et al., 1993) MUMM 21/01/2013 16

Scheldt river: new data collection 21/01/2013 17

Scheldt river: new data collection 21/01/2013 18

Gironde river Côte de la Manche Blaye Paulliac 21/01/2013 19 Blaye

Picture taken by APEX operator APEX quicklook 21/01/2013 20

Gironde river 21/01/2013 21

Gironde river ASD water reflectance 21/01/2013 22

Gironde river ASD water reflectance SPM (mg/l) SPM (mg/l) SPM (mg/l) SPM (mg/l) SPM (mg/l) 21/01/2013 23

La Plata river ASD water reflectance 21/01/2013 24

Scheldt APEX flight (a) RBG APEX image of the Scheldt (b) map of Rw711/Rw597 (c) map of Rw1069 (d) map of Rw1020. 21/01/2013 25

CONCLUSIONS AND FUTURE WORK (2) black pixel assumption invalid for Scheldt,Gironde and la Plata estuary. A significant increase in reflectance was observed between 950 and 1150 nm where pure water absorption has a local minimum. SNR and atmospheric influences does not seem to alter these findings. WARNING when using the SWIR black pixel assumption for atmospheric correction need for an adjusted atmospheric correction for highly turbid waters. (Incorrect use of the black pixel assumption in atmospheric correction can lead to an overestimation of the aerosol contribution and a significant underestimation of the derived water reflectance! ) correlation of water reflectance with TSM concentration. Suggest that spectral bands beyond 1000 nm contain information on the concentrations of optical constituents. 21/01/2013 26

CONCLUSIONS AND FUTURE WORK (2) Future work includes:» TRIOS analysis and intercomparison» IOP analysis (including Hydroscat!)» Hydrolight simulations» Image analysis (MODIS, HICO, APEX)» Are there systematic differences between sites or is a single algo appropriate for all 3 sites? 21/01/2013 27

Thank you http://hyperspectral.vgt.vito.be/ els.knaeps@vito.be 21/01/2013 28