Computational Science for Natural Resource Management

Authors:
Michael M. Fuller;Dali Wang;Louis J. Gross;Michael W. Berry
Affiliations:
University of Tennessee;University of Tennessee;University of Tennessee;University of Tennessee
Venue:
Computing in Science and Engineering
Year:
2007

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Abstract

Recent advances in miniaturization, computing power, remote sensing, and modeling are revolutionizing the science of natural resource management. But these advances also bring many challenges. This article highlights some key problems in resource management that represent opportunities for computer scientists and engineers in search of challenging practical problems.