Landsat 8 Remote Sensing Reflectance (Rrs) Products: Evaluations, Intercomparisons, and Enhancements

Abstract The Operational Land Imager (OLI) onboard Landsat-8 is generating high-quality aquatic science products, the most critical of which is the remote sensing reflectance (R rs ), defined as the ratio of water-leaving radiance to the total downwelling irradiance just above water. The quality of the R rs products has not, however, been extensively assessed. This manuscript provides a comprehensive evaluation of Level-1B, i.e., top of atmosphere reflectance, and R rs products available from OLI imagery under near-ideal atmospheric conditions in moderately turbid waters. The procedure includes a) evaluations of the R rs products at sites included in the Ocean Color component of the Aerosol Robotic Network (AERONET-OC), b) intercomparisons and cross-calibrations against other ocean color products, and c) optimizations of vicarious calibration gains across the entire OLI observing swath. Results indicate that the near-infrared and shortwave infrared (NIR-SWIR) band combinations yield the most robust and stable R rs retrievals in moderately turbid waters. Intercomparisons against products derived from the Visible Infrared Imaging Radiometer Suite (VIIRS) and the Moderate Resolution Imaging Spectroradiometer onboard the Aqua platform (MODISA) indicate slight across-track non-uniformities ( rs ), on average, the OLI products were found larger in radiometric responses in the blue channels. Following the implementation of updated vicarious calibration gains and accounting for across-track non-uniformities, matchup analyses using independent in-situ validation data confirmed improvements in R rs products. These findings further support high-fidelity OLI-derived aquatic science products in terms of both demonstrating a robust atmospheric correction method and providing consistent products across OLI's imaging swath.

[1]  Bryan A. Franz,et al.  Updates to the on-orbit calibration of SNPP VIIRS for ocean color applications , 2015, SPIE Optical Engineering + Applications.

[2]  Mati Kahru,et al.  Ocean Optics Protocols for Satellite Ocean Color Sensor Validation, Revision 4, Volume IV: Inherent Optical Properties: Instruments, Characterizations, Field Measurements and Data Analysis Protocols , 2013 .

[3]  Bryan A. Franz,et al.  Ocean color measurements with the Operational Land Imager on Landsat-8: implementation and evaluation in SeaDAS , 2015 .

[4]  L. Lymburner,et al.  Landsat 8: Providing continuity and increased precision for measuring multi-decadal time series of total suspended matter , 2016 .

[5]  John R. Schott,et al.  Leveraging EO-1 to Evaluate Capability of New Generation of Landsat Sensors for Coastal/Inland Water Studies , 2013, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[6]  Menghua Wang,et al.  An assessment of the black ocean pixel assumption for MODIS SWIR bands , 2009 .

[7]  Howard R. Gordon,et al.  In-Orbit Calibration Strategy for Ocean Color Sensors , 1998 .

[8]  Gong Lin,et al.  A semi-analytical scheme to estimate Secchi-disk depth from Landsat-8 measurements , 2016 .

[9]  C. Mobley,et al.  Estimation of the remote-sensing reflectance from above-surface measurements. , 1999, Applied optics.

[10]  John R. Schott,et al.  Characterizing the relative calibration of Landsat-7 (ETM+) visible bands with Terra (MODIS) over clear waters: The implications for monitoring water resources , 2012 .

[11]  Ziauddin Ahmad,et al.  New aerosol models for the retrieval of aerosol optical thickness and normalized water-leaving radiances from the SeaWiFS and MODIS sensors over coastal regions and open oceans. , 2010, Applied optics.

[12]  Menghua Wang,et al.  Calibration of ocean color scanners: how much error is acceptable in the near infrared? , 2002 .

[13]  D. Clark,et al.  MOBY, a Radiometric Buoy for Performance Monitoring and Vicarious Calibration of Satellite Ocean Color Sensors: Measurement and Data Analysis Protocols , 2003 .

[14]  K. Ruddick,et al.  Advantages of high quality SWIR bands for ocean colour processing: Examples from Landsat-8 , 2015 .

[15]  Davide D'Alimonte,et al.  Validation of satellite ocean color primary products at optically complex coastal sites: Northern Adriatic Sea, Northern Baltic Proper and Gulf of Finland , 2009 .

[16]  John R. Schott,et al.  On-orbit radiometric characterization of OLI (Landsat-8) for applications in aquatic remote sensing , 2014 .

[17]  C. Justice,et al.  Atmospheric correction of visible to middle-infrared EOS-MODIS data over land surfaces: Background, operational algorithm and validation , 1997 .

[18]  P Jeremy Werdell,et al.  Estimation of near-infrared water-leaving reflectance for satellite ocean color data processing. , 2010, Optics express.

[19]  ZhongPing Lee,et al.  Robust approach to directly measuring water-leaving radiance in the field. , 2013, Applied optics.

[20]  H. Gordon,et al.  Atmospheric correction of ocean color sensors: analysis of the effects of residual instrument polarization sensitivity. , 1997, Applied optics.

[21]  Alvise Benetazzo,et al.  High-resolution satellite turbidity and sea surface temperature observations of river plume interactions during a significant flood event , 2015 .

[22]  B. Franz,et al.  Sensor-independent approach to the vicarious calibration of satellite ocean color radiometry. , 2007, Applied optics.

[23]  Menghua Wang,et al.  Retrieval of water-leaving radiance and aerosol optical thickness over the oceans with SeaWiFS: a preliminary algorithm. , 1994, Applied optics.

[24]  Chuanmin Hu,et al.  Sediment plumes induced by the Port of Miami dredging: Analysis and interpretation using Landsat and MODIS data , 2015 .

[25]  K. Ruddick,et al.  Turbid wakes associated with offshore wind turbines observed with Landsat 8 , 2014 .

[26]  B. Franz,et al.  Uncertainties in Coastal Ocean Color Products: Impacts of Spatial Sampling. , 2016, Remote Sensing of Environment.

[27]  J. Luc Forand,et al.  Analytic phase function for ocean water , 1994, Other Conferences.

[28]  H. Gordon Atmospheric correction of ocean color imagery in the Earth Observing System era , 1997 .

[29]  Bryan A. Franz,et al.  MODIS Land Bands for Ocean Remote Sensing Applications , 2006 .

[30]  Lawrence Ong,et al.  Landsat-8 Operational Land Imager Radiometric Calibration and Stability , 2014, Remote. Sens..