Computational science for natural resource management

Michael M. Fuller; Dali Wang; Louis J. Gross; Michael W. Berry

doi:10.1109/MCSE.2007.71

Computational science for natural resource management

Michael M. Fuller
, Dali Wang
, Louis J. Gross
, Michael W. Berry

Research output: Contribution to journal › Article › peer-review

11 Scopus citations

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.

Original language	English
Article number	4263263
Pages (from-to)	40-48
Number of pages	9
Journal	Computing in Science and Engineering
Volume	9
Issue number	4
DOIs	https://doi.org/10.1109/MCSE.2007.71
State	Published - Jul 2007
Externally published	Yes

Funding

We thank two anonymous reviewers for providing helpful comments that improved this article. The US National Science Foundation supported this research through awards DMS-0110920, DEB-0219269, and IIS-0427471 to the University of Tennessee.

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10.1109/MCSE.2007.71

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title = "Computational science for natural resource management",

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.",

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Computational science for natural resource management

Abstract

Funding

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