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Computational Science for Natural Resource Management
July/August 2007 (vol. 9 no. 4)
pp. 40-48
Michael M. Fuller, University of Tennessee
Dali Wang, University of Tennessee
Louis J. Gross, University of Tennessee
Michael W. Berry, University of Tennessee
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.
Index Terms:
natural resource management, geographic information systems, GIS, spatial control, grid computing, ecological modeling
Citation:
Michael M. Fuller, Dali Wang, Louis J. Gross, Michael W. Berry, "Computational Science for Natural Resource Management," Computing in Science and Engineering, vol. 9, no. 4, pp. 40-48, July-Aug. 2007, doi:10.1109/MCSE.2007.71
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