Speaker Jeff Dozier
Affiliation University of California at Santa Barbara
Host Dan Fay
Date recorded 7 October 2005
Imagery from Earth-orbiting satellites provides a rich but voluminous source of raw data for scientific investigation of environmental processes and trends. Analyses of the data are, however, generally outside the traditional realm of “image processing.” Instead, we think of an image as a geospatial raster of radiometric values, and an image’s resolution includes spatial, spectral, radiometric, and temporal attributes. Translation of images into a suite of geophysical products requires technologies and procedures that support extensive computation and spatial operations on large objects, along with mechanisms to track the legacy of computations performed and allow revisiting as algorithms change.
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