HR: 1340h
AN: P23A-0183    [Abstracts]
TI: Multiple Methods of Searching Large Areas of the Martian Surface
AU: * Bredt, A
EM: turtle13@ucsc.edu
AF: UCSC Earth Science Department, 1156 High Street, Santa Cruz, Ca 95064 United States
AU: Kraal, E
EM: ekraal@pmc.ucsc.edu
AF: UCSC Earth Science Department, 1156 High Street, Santa Cruz, Ca 95064 United States
AU: Asphaug, E
EM: asphaug@pmc.ucsc.edu
AF: UCSC Earth Science Department, 1156 High Street, Santa Cruz, Ca 95064 United States
AU: Moore, J
EM: jeff.moore@nasa.gov
AF: NASA Ames, NASA Ames Research Center, MS 245-3, Moffet Field, Ca 94035-1000 United States
AU: Howard, A
EM: ah6p@cms.mail.virginia.edu
AF: University of Virginia, Department of Environmental Sciences, 291 McCormick Rd, P.O. Box 400123, Charlottesville, VA 22904 United States
AB: In the course of searching for alluvial fans and other specific features in the major image data sets covering large fractions of the surface of Mars, we have developed a number of optimized approaches and present the results of those strategies.˙ Multiple methods will be presented, each analyzed for its own merit, as well as applied to the search for alluvial fans, which will be presented as our case study. ˙ ˙We address searching according to MOC data, MOLA data and THEMIS data, as well as using combinations for limits and multiple runs.˙ Each of these different techniques and levels of detail will be examined and presented in terms of reliability, time consumption, efficiency, applicability to specific search criteria, including their major problems or benefits.
DE: 5494 Instruments and techniques
DE: 6225 Mars
DE: 6297 Instruments and techniques
SC: Planetary Sciences [P]
MN: Fall Meeting 2005