BRDF Effects in Satellite Retrieval of Surface Spectral Reflectance in Solar Spectral Region

Surface reflectance/albedo is important for many geophysical applications, atmospheric circulation, and climate modeling (Henderson-Sellers et al. 1993). It is a key input parameter for land type classification and serves as a major boundary condition in surface-atmosphere radiative transfer modeling, which determines the distribution of solar energy between the surface and the atmosphere. Surface reflective properties can be retrieved from satellite observations. A surface target may be observed by satellite from different viewing directions. Due to the anisotropy of surface reflection, this leads to diversity of surface properties retrieved from satellite composite images (Li et al. 1996). To address this problem, one needs to determine the surface bidirectional reflectance distribution function (BRDF) properties and correct for them in the final product. Integrals of BRDF functions result in the so-called black-sky and white-sky albedos that convey important information concerning the inherent properties of surface albedo (Wanner et al. 1997).

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

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

[3]  G. Dedieu,et al.  SMAC: a simplified method for the atmospheric correction of satellite measurements in the solar spectrum , 1994 .

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

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

[6]  H. Ritchie,et al.  The Mackenzie GEWEX study : The Water and Energy cycles of a major North American River basin , 1998 .

[7]  S. Schwartz,et al.  The Atmospheric Radiation Measurement (ARM) Program: Programmatic Background and Design of the Cloud and Radiation Test Bed , 1994 .

[8]  J. Hay,et al.  Estimating Solar Irradiance on Inclined Surfaces: A Review and Assessment of Methodologies , 1985 .

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

[10]  M. Iqbal An introduction to solar radiation , 1983 .

[11]  Zhanqing Li,et al.  The bidirectional effects of AVHRR measurements over boreal regions , 1996, IEEE Trans. Geosci. Remote. Sens..

[12]  K. Ya. Kondratyev,et al.  Radiation regime of inclined surfaces , 1977 .

[13]  P. Deschamps,et al.  Evaluation of topographic effects in remotely sensed data , 1989 .

[14]  R. Dickinson,et al.  The Project for Intercomparison of Land Surface Parameterization Schemes (PILPS): Phases 2 and 3 , 1993 .

[15]  R. Richter,et al.  Correction of satellite imagery over mountainous terrain. , 1998, Applied optics.