The Community for Technology Leaders
RSS Icon
Issue No.04 - July/August (2007 vol.9)
pp: 40-48
Dali Wang , University of Tennessee
Louis J. Gross , University of Tennessee
Michael M. Fuller , 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.
natural resource management, geographic information systems, GIS, spatial control, grid computing, ecological modeling
Dali Wang, Louis J. Gross, Michael M. Fuller, "Computational Science for Natural Resource Management", Computing in Science & Engineering, vol.9, no. 4, pp. 40-48, July/August 2007, doi:10.1109/MCSE.2007.71
13 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool