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
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;
Journal_Title :
Computing in Science & Engineering
DOI :
10.1109/MCSE.2007.71
