UCSB IBM
ERP Related Publications Abstracts
Viewing geometry
of AVHRR image composites derived using multiple criteria
David M. Stoms,
Michael J. Bueno, and Frank W. Davis
The U. S. Geological
Survey currently generates composites of AVHRR imagery based on
a single objective--maximizing the Normalized Difference Vegetation
Index--as a means of reducing cloud contamination. Our research
supports the findings of others that in some cases, NDVI is maximized
at the expense of optimal viewing geometry; that is, satellite zenith
angles are often further off-nadir than necessary to ensure cloud-free
viewing. We explore various compositing methods by systematically
varying weights on NDVI, satellite zenith angle, and maximum apparent
temperature. A test composite of California from September 1990
appears to be superior to the maximum NDVI and maximum apparent
temperature composites in several respects. First, the satellite
zenith angle distribution is more closely clustered about nadir,
which minimizes atmospheric path length, spatial distortion, and
bidirectional reflectance effects. Second, neighboring pixels are
more frequently selected with similar viewing geometry and atmospheric
conditions.