OPERA : An Operational Atmospheric Correction for Land and Water

16/06/2015 OPERA : An Operational Atmospheric Correction for Land and Water Sindy Sterckx, Els Knaeps, Ils Reusen, Stefan Adriaensen, Liesbeth De Keu...
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16/06/2015

OPERA : An Operational Atmospheric Correction for Land and Water Sindy Sterckx, Els Knaeps, Ils Reusen, Stefan Adriaensen, Liesbeth De Keukelaere (VITO ) Peter Hunter (University of Stirling) Daniel Odermatt (Odermatt-Brockmann) Claudia Giardino (CNR) Sentinel-3 for Science, 2-5 June 2015

SENTINEL-3 L1 data

Land/Sea Mask

L2 LAND processing

L2 MARINE processing

Oceans Coastal areas

Land Estuaries ? Lakes ? Rivers ?

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Typical marine atmospheric correction schemes might not work

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Need to account for non-zero altitude

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Need to account for non-zero NIR reflectance

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Knaeps et al., 2014

Need to account for non-zero NIR reflectance (even at 1020 nm) !

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Need to account for non-water spectra

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80 70

reflectance (%)

60 50 40 30 20 10 0 400

450

500

550

600

650

700

750

800

850

900

wavelength (nm)

Need to account for adjacency effects

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950

Typical land atmospheric correction schemes might not work over water

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Need to account for non-lambertian reflection

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OPERA: OPERational Atmospheric correction » Sensor generic ( Sentinel-3 , Sentinel-2, Landsat, Hyperspectral missions, …) » Scene generic allowing to correct both land and water areas » including turbid, high altitude, tidal or macrophyte dominated waters » Requires to account for surface elevation variation, adjacency effects, non-Lambertian reflection of water surfaces » Focus on operationability, minimal manual interaction, processing efficiency

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OPERA overview

TOA SCENE LAND/WATER MASKING LAND BASED AOT RETRIEVAL

SZA,VZA,RAA DEM

WATER VAPOR RETRIEVAL

MODTRAN5 LUT

ADJACENCY CORR. WATER: SIMEC LAND: RANGES

ATMOSPHERIC CORR.

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L2 SCENE

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Land-based AOT retrieval TOA SCENE

Based on Guanter et al. (2008) RSE

SZA,VZA,RAA DEM

Cloud & Water masking

Tiles creation Select Lmin(VIS)

MODTRAN5 LUT

NDVI selection Endmember inversion AOT tiles Inverse distance interpolation Resize (bilinear) Spatial smoothing AOT SCENE

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Adjacency correction : SIMEC (over water pixels) » Basic assumption : Invariant shape of water reflectance in NIR, ie ‘‘similarity’’ NIR reflectance spectrum (Ruddick et al., 2006)

» No assumption on NIR albedo Sterckx et al. (2015) RSE Sterckx et al. (2011) IJRS 16/06/2015 © 2014, VITO NV

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Adjacency correction : SIMEC (over water pixels) » Basic assumption : Invariant shape of water reflectance in NIR, ie ‘‘similarity’’ NIR reflectance spectrum (Ruddick et al., 2006)

Sterckx et al. (2015) RSE Sterckx et al. (2011) IJRS

» No assumption on NIR albedo 16/06/2015 © 2014, VITO NV

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OPERA on MERIS FR

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WO HO MO

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OPERA on LANDSAT 8 (OLI)

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0.04

Mantua lakes (Italy)

0.07

P1 OPERA with SIMEC

0.03

Rw

P1 OPERA without SIMEC

0.02

0.05 0.03 0.01 0

600

700

Wavelength (nm)

0.05

P2

0.04

P3 P4

800

900

P2 OPERA without SIMEC

0.02

600

700

Wavelength (nm)

800

900

P6 insitu P6 OPERA with SIMEC

0.05 0.04

P5 OPERA without SIMEC

0.03 0.02

0.01

0.01 0

0

500

600

700

Wavelength (nm)

0.05

800

P3 OPERA with SIMEC

0.03

Rw

P3 OPERA without SIMEC

0.02

500

600

700

Wavelength (nm)

0.05

P3 insitu

0.04

400

900

800

900

P7 insitu

0.04

P7 OPERA with SIMEC P7 OPERA without SIMEC

0.03

Rw

400

0.02 0.01

0.01

0

0

400

500

600

700

Wavelength (nm)

0.05

800

900

400

500

600

700

Wavelength (nm)

800

P4 insitu

0.04

P4 OPERA with SIMEC

0.03

P4 OPERA without SIMEC

Rw

Landsat 8 23 Sept 2014

500

0.06

P2 OPERA with SIMEC

0.03

400 0.07

P2 insitu

Rw

P5

500

Rw

400

P6

P5 OPERA without SIMEC

0.04

0

P1

P5 OPERA with SIMEC

0.06

0.02

0.01

P7

P5 insitu

0.08

P1 insitu

Rw

0.05

0.02 0.01

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0

400

VITO NV 700 500 © 2014, 600

19 800

900

900

Mantua lakes (Italy)

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Belgian coast Aeronet OC (RBINS)

+/- 4.5 km

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OPERA without SIMEC : Reflectance Landsat8 865 nm band OSLO

LC81970192014205LGN00

0.004

0.032 Image LC81970222014205LGN00 16/06/2015 © 2014, VITO NV

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OPERA with SIMEC : Reflectance Landsat8 865 nm band

LC81970192014205LGN00

0.004

0.032 Image LC81970222014205LGN00 16/06/2015 © 2014, VITO NV

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OPERA without SIMEC : Reflectance Landsat8 655 nm band

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OPERA with SIMEC : Reflectance Landsat8 655 nm band

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OPERA without SIMEC : Landsat8 TSM MAP based on 655nm Nechad et al, 2010 0

8 mg/l

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OPERA with SIMEC : Landsat8 TSM MAP based on 655nm Nechad et al, 2010 0

8 mg/l

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OPERA without SIMEC : Reflectance Landsat8 865 nm band

Image: LC81990242014075LGN00 16/06/2015 © 2014, VITO NV

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OPERA with SIMEC : Reflectance Landsat8 865 nm band

Image: LC81990242014075LGN00 16/06/2015 © 2014, VITO NV

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OPERA without SIMEC : Landsat8 TSM MAP based on 865nm Nechad et al, 2010

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100 mg/l 30

OPERA with SIMEC : Landsat8 TSM MAP based on 865nm Nechad et al, 2010

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100 mg/l 31

Conclusions » Atmospheric correction : complex » Variability of inland waters adds more complexity  Remote sensing : underutilised  Need for adequate atmospheric correction algorithms » OPERA : step forward » SIMEC mainly neutral or positive effect. Adjacency effect not always clearly present.

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Outlook » Mountainous regions : » Stability of AOT retrieval need to be improved » Alternative AOT retrieval specific for water areas » Use of SWIR bands » BUT »SNR issues ? »Accuracy of SWIR bands ? » eg. Pahlevan et al (2014) gains for OLI: (1.034 SWIR 1, 1.21 SWIR2 ) 16/06/2015 © 2014, VITO NV

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