DocumentCode
1041696
Title
Computational Science for Natural Resource Management
Author
Fuller, Michael M. ; Wang, Dali ; Gross, Louis J. ; Berry, Michael W.
Author_Institution
Inst. for Environ. Modeling, Tennessee Univ., Nashville, TN
Volume
9
Issue
4
fYear
2007
Firstpage
40
Lastpage
48
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.
Keywords
ecology; environmental management; information management; natural resources; remote sensing; computational science; data management; ecosystems; model-driven strategies; natural resource management; Biological system modeling; Biology computing; Computer networks; Distributed computing; Floods; Grid computing; Optimal control; Peer to peer computing; Power engineering computing; Resource management; GIS; ecological modeling; geographic information systems; grid computing; natural resource management; spatial control;
fLanguage
English
Journal_Title
Computing in Science & Engineering
Publisher
ieee
ISSN
1521-9615
Type
jour
DOI
10.1109/MCSE.2007.71
Filename
4263263
Link To Document