HR: 08:30h
AN: B11F-03    [Abstracts]
TI: Risk Mitigation as a Metric for Evaluating Decision Support System Inputs and Function
AU: * Hutchinson, C
EM: chuck@ag.arizona.edu
AF: University of Arizona, Office of Arid Lands Studies 1955 E. 6th Street, Tucson, AZ 85719, United States
AU: Kaupp, V
EM: kauppv@missouri.edu
AF: University of Missouri-Columbia, ICREST 349 Engineering Building West, Columbia, MO 65211, United States
AU: van Leeuwen, W
EM: leeuw@ag.arizona.edu
AF: University of Arizona, Office of Arid Lands Studies 1955 E. 6th Street, Tucson, AZ 85719, United States
AU: Haithcoat, T
EM: haithcoatt@missouri.edu
AF: University of Missouri-Columbia, ICREST 349 Engineering Building West, Columbia, MO 65211, United States
AU: Drake, S
EM: sdrake@nexus.srnr.arizona.edu
AF: University of Arizona, Office of Arid Lands Studies 1955 E. 6th Street, Tucson, AZ 85719, United States
AU: Likholetov, V
EM: likholetovv@missouri.edu
AF: University of Missouri-Columbia, ICREST 349 Engineering Building West, Columbia, MO 65211, United States
AB: Defect Detection and Prevention (DDP) software, a risk management tool designed for spacefaring mission planning, was applied in a novel way to evaluate the efficacy of remote sensing and other inputs to the decision support system used to produce global crop yield estimates by the USDA's Office of Global Analysis/International Production Assessment Branch (IPA). IPA's activities contribute directly to the competitiveness and thus the sustainability of American agriculture. The DDP tool provides an explicit accounting of institutional objectives (e.g., accurate monthly crop estimates, dissemination of information), the risks to meeting those objectives that exist in the decision making system (inadequate timeliness or quality of data), and the effect of various mitigations that act to reduce risk and promote attainment of objectives (new remote sensing data streams, better crop models). Periodic reassessment of IPA's&pdecision support system has provided a view of its evolution over time, through enhancement with NASA science results and other inputs, and through major institutional change.
DE: 0402 Agricultural systems
DE: 0430 Computational methods and data processing
DE: 0434 Data sets
DE: 0466 Modeling
DE: 0480 Remote sensing
SC: Biogeosciences [B]
MN: 2007 Fall Meeting