Sensor independent adjacency correction algorithm for coastal and inland water systems

Abstract The presented adjacency correction algorithm is based on the use of the point spread function (PSF) which allows calculating the contribution of reflections from the nearby pixels to the apparent radiance of the target. The analytical expression of the PSF for an arbitrary stratified atmosphere is obtained in the approximation of primary scattering, whereas the full equation of radiative transfer is used for the estimation of the radiance reflected from the surface. The algorithm is sensor independent and can be applied for processing images of water basins with arbitrary shape of the shore line and under different geometries of observation. The program using this algorithm is included in Modular Inversion Program — MIP (Heege et al., 2014) for processing of satellite images on a routine basis. Examples of processing results are presented in the paper.

[1]  T. Heege,et al.  Operational multi-sensor monitoring of turbidity for the entire Mekong Delta , 2014, Remote Sensing the Mekong.

[2]  R. Richter A spatially adaptive fast atmospheric correction algorithm , 1996 .

[3]  Vittorio E. Brando,et al.  Satellite hyperspectral remote sensing for estimating estuarine and coastal water quality , 2003, IEEE Trans. Geosci. Remote. Sens..

[4]  R Muller,et al.  The processing chain and Cal/Val operations of the future hyperspectral satellite mission EnMAP , 2010, 2010 IEEE Aerospace Conference.

[5]  K. Carder,et al.  Monte Carlo simulation of the atmospheric point-spread function with an application to correction for the adjacency effect. , 1995, Applied optics.

[6]  Giuseppe Zibordi,et al.  Simulation and analysis of adjacency effects in coastal waters: a case study. , 2014, Applied optics.

[7]  Daniel Odermatt,et al.  Retrieval of water constituents from multiple earth observation sensors in lakes, rivers and coastal zones , 2009, 2009 IEEE International Geoscience and Remote Sensing Symposium.

[8]  L Roberti,et al.  Radiative transfer in the atmosphere-ocean system: the finite-element method. , 1999, Applied optics.

[9]  Finite-element algorithm for radiative transfer in vertically inhomogeneous media: numerical scheme and applications. , 1995, Applied optics.

[10]  Chris Roelfsema,et al.  A physics based retrieval and quality assessment of bathymetry from suboptimal hyperspectral data , 2009 .

[11]  S. Sterckx,et al.  Detection and correction of adjacency effects in hyperspectral airborne data of coastal and inland waters: the use of the near infrared similarity spectrum , 2011 .

[12]  Luis Guanter,et al.  Atmospheric correction of ENVISAT/MERIS data over inland waters: Validation for European lakes , 2010 .

[13]  W. L. Dunn,et al.  The searchlight problem in radiation transport: Some analytical and computational results , 1985 .

[14]  R. Doerffer,et al.  The MERIS Case 2 water algorithm , 2007 .