High-performance computing: Models and high-performance algorithms for global brdf retrieval

The authors describe three models for retrieving information related to the scattering of light on the earth's surface. Using these models, they've developed algorithms for the IBM SP2 that efficiently retrieve this information.

[1]  Shunlin Liang,et al.  Angular signatures of NASA/NOAA Pathfinder AVHRR land data and applications to land cover identification , 1997, IGARSS'97. 1997 IEEE International Geoscience and Remote Sensing Symposium Proceedings. Remote Sensing - A Scientific Vision for Sustainable Development.

[2]  H. Rahman,et al.  Coupled surface-atmosphere reflectance (CSAR) model: 2. Semiempirical surface model usable with NOAA advanced very high resolution radiometer data , 1993 .

[3]  J. Muller,et al.  MODIS BRDF / Albedo Product : Algorithm Theoretical Basis Document Version 5 . 0 , 1999 .

[4]  F. E. Nicodemus,et al.  Geometrical considerations and nomenclature for reflectance , 1977 .

[5]  A. Strahler,et al.  Retrieval of surface BRDF from multiangle remotely sensed data , 1994 .

[6]  J. Townshend,et al.  NDVI-derived land cover classifications at a global scale , 1994 .

[7]  J. Townshend,et al.  Global land cover classifications at 8 km spatial resolution: The use of training data derived from Landsat imagery in decision tree classifiers , 1998 .

[8]  Mary E. James.  The Pathfinder AVHRR Land Data Set , 1994 .

[9]  Nadine Gobron,et al.  Optical remote sensing of vegetation: Modeling, caveats, and algorithms , 1995 .

[10]  B. Holben.  Characteristics of maximum-value composite images from temporal AVHRR data , 1986 .

[11]  A. Kuusk,et al.  A reflectance model for the homogeneous plant canopy and its inversion , 1989 .

[12]  William H. Press,et al.  Numerical Recipes in C, 2nd Edition , 1992 .

[13]  C. Long,et al.  Global distribution of cloud cover derived from NOAA/AVHRR operational satellite data , 1991 .