Environmental Science from Satellites


October 7, 2005


Jeff Dozier


University of California at Santa Barbara


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.


Jeff Dozier

Jeff Dozier’s research and teaching interests are in the fields of snow hydrology, Earth system science, remote sensing, and information systems. He has pioneered interdisciplinary studies in two areas: one involves the hydrology, hydrochemistry, and remote sensing of mountainous drainage basins; the other is in the integration of environmental science and computer science and technology. In addition, he has played a role in development of the educational and scientific infrastructure. He founded UC Santa Barbara’s Donald Bren School of Environmental Science & Management and served as its first Dean for six years. He was the Senior Project Scientist for NASA’s Earth Observing System in its formative stages when the configuration for the system was established. After receiving his PhD from the University of Michigan in 1973, he has been a faculty member at UCSB since 1974. He is a Fellow of the American Geophysical Union, the American Association for the Advancement of Science, and the UK’s National Institute for Environmental eScience. He is also an Honorary Professor of the Chinese Academy of Sciences and a recipient of the NASA Public Service Medal.