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Computational Science for Natural Resource Management

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4 Author(s)
Fuller, M.M. ; Inst. for Environ. Modeling, Tennessee Univ., Nashville, TN ; Wang, D. ; Gross, L.J. ; Berry, M.W.

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.

Published in:

Computing in Science & Engineering  (Volume:9 ,  Issue: 4 )