HR: 14:40h
AN: SF43B-05    [Abstracts]
TI: High Performance Geostatistical Modeling of Biospheric Resources
AU: * Pedelty, J A
EM: Jeff.Pedelty@nasa.gov
AF: NASA Goddard Space Flight Center, Earth Sciences Directorate, Greenbelt, MD 20771 United States
AU: Morisette, J T
EM: Jeff.Morisette@nasa.gov
AF: NASA Goddard Space Flight Center, Earth Sciences Directorate, Greenbelt, MD 20771 United States
AU: Smith, J A
EM: James.A.Smith@nasa.gov
AF: NASA Goddard Space Flight Center, Earth Sciences Directorate, Greenbelt, MD 20771 United States
AU: Schnase, J L
EM: John.Schnase@nasa.gov
AF: NASA Goddard Space Flight Center, Earth Sciences Directorate, Greenbelt, MD 20771 United States
AU: Crosier, C S
EM: Catherine_Crosier@usgs.gov
AF: USGS National Institute of Invasive Species Science, Fort Collins Science Center, Fort Collins, CO 80526 United States
AU: Stohlgren, T J
EM: Tom_Stohlgren@usgs.gov
AF: USGS National Institute of Invasive Species Science, Fort Collins Science Center, Fort Collins, CO 80526 United States
AB: We are using parallel geostatistical codes to study spatial relationships among biospheric resources in several study areas. For example, spatial statistical models based on large- and small-scale variability have been used to predict species richness of both native and exotic plants (hot spots of diversity) and patterns of exotic plant invasion. However, broader use of geostastics in natural resource modeling, especially at regional and national scales, has been limited due to the large computing requirements of these applications. To address this problem, we implemented parallel versions of the kriging spatial interpolation algorithm. The first uses the Message Passing Interface (MPI) in a master/slave paradigm on an open source Linux Beowulf cluster, while the second is implemented with the new proprietary Xgrid distributed processing system on an Xserve G5 cluster from Apple Computer, Inc. These techniques are proving effective and provide the basis for a national decision support capability for invasive species management that is being jointly developed by NASA and the US Geological Survey.
DE: 0400 Biogeosciences
DE: 0910 Data processing
DE: 0933 Remote sensing
SC: Special Focus: Advances in Data Acquisition, Management, Analysis and Display [SF]
MN: 2004 AGU Fall Meeting