The interrelationship of atmospheric correction of reflectances and surface BRDF retrieval: a sensitivity study

This paper systematically studies the interrelationship between surface bidirectional reflectance distribution function (BRDF) retrieval and atmospheric correction. The study uses the atmospheric correction scheme of the Moderate Resolution Imaging Spectroradiometer (MODIS) and angular sampling expected for MODIS and the Multiangle Imaging SpectroRadiometer (MISR) for different land cover types and optical depths of aerosols. The results show the following two points. 1) Even for a nonturbid atmosphere, the assumption of a Lambertian surface in atmospheric correction causes relative errors in the retrieved surface reflectances that average from 2 to 7% in the red and near-infrared bands, with worst cases showing errors of up to about 15% for turbid conditions. Consequently, it is necessary for improved accuracy to consider surface anisotropy in atmospheric correction. 2) Surface BRDF retrieval and atmospheric correction can be coupled in a converging iteration loop that improves the quality of atmospheric correction and subsequent BRDF retrievals. For example, performing two steps of the iteration loop is already sufficient to obtain mean relative errors of less than 1% in the retrieved surface reflectances even for an atmospheric aerosol optical depth of 0.4. As BRDF retrieval accuracies improve, so do bihemispherical albedo retrieval accuracies, with mean relative errors being 1-5% when using a Lambertian assumption and less than 1% after two iteration steps.

[1]  Kriebel Kt,et al.  Measured spectral bidirectional reflection properties of four vegetated surfaces. , 1978 .

[2]  J. Roujean,et al.  A bidirectional reflectance model of the Earth's surface for the correction of remote sensing data , 1992 .

[3]  J. Muller,et al.  Sampling the surface bidirectional reflectance distribution function (BRDF): 1. evaluation of current and future satellite sensors , 1994 .

[4]  S. Gerstl,et al.  Coupled atmosphere/canopy model for remote sensing of plant reflectance features. , 1985, Applied optics.

[5]  A. Strahler,et al.  On the derivation of kernels for kernel‐driven models of bidirectional reflectance , 1995 .

[6]  K. M. Case,et al.  Introduction to the theory of neutron diffusion, v.1 , 1953 .

[7]  Y. Kaufman,et al.  Non-Lambertian Effects on Remote Sensing of Surface Reflectance and Vegetation Index , 1986, IEEE Transactions on Geoscience and Remote Sensing.

[8]  Alan H. Strahler,et al.  Validation of Kernel-Driven Semiempirical Models for the Surface Bidirectional Reflectance Distribution Function of Land Surfaces , 1997 .

[9]  Yoram J. Kaufman,et al.  Size distribution and scattering phase function of aerosol particles retrieved from sky brightness measurements , 1994 .

[10]  Compton J. Tucker,et al.  Directional reflectance factor distributions for cover types of Northern Africa , 1985 .

[11]  J. Privette,et al.  Estimating spectral albedo and nadir reflectance through inversion of simple BRDF models with AVHRR/MODIS‐like data , 1997 .

[12]  D. C. Robertson,et al.  MODTRAN: A Moderate Resolution Model for LOWTRAN , 1987 .

[13]  Y. Kaufman,et al.  Algorithm for atmospheric corrections of aircraft and satellite imagery , 1992 .

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

[15]  Ross Nelson,et al.  Directional Reflectance Distributions of a Hardwood and Pine Forest Canopy , 1986, IEEE Transactions on Geoscience and Remote Sensing.

[16]  Didier Tanré,et al.  Second Simulation of the Satellite Signal in the Solar Spectrum, 6S: an overview , 1997, IEEE Trans. Geosci. Remote. Sens..

[17]  W. Lucht Expected retrieval accuracies of bidirectional reflectance and albedo from EOS-MODIS and MISR angular sampling , 1998 .

[18]  D. Kimes Dynamics of directional reflectance factor distributions for vegetation canopies. , 1983, Applied optics.

[19]  R. Dickinson,et al.  A physical model for predicting bidirectional reflectances over bare soil , 1989 .

[20]  H. Rahman,et al.  Coupled surface‐atmosphere reflectance (CSAR) model: 1. Model description and inversion on synthetic data , 1993 .

[21]  Michael J. Barnsley,et al.  Global retrieval of bidirectional reflectance and albedo over land , 1997 .