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Environmental Information Management And Analysis: Ecosystem To Global Scales
 
 
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Environmental Information Management And Analysis: Ecosystem To Global Scales [Hardcover]

W K Michener (Editor), J W Brunt (Editor), S G Stafford (Editor)

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Book Description

0748401237 978-0748401239 August 8, 1994 1
Most environmental studies are based upon data collected at fine spatial scales plots, sediments, cores, etc.. Furthermore, temporal scales of these studies have been relatively short days, weeks, months and few studies have exceeded three years duration the typical funding cycle.; Despite this history, environmental scientists are now being called upon to extrapolate findings from "plot-level" studies to broader spatial scales and from short-term studies to longer temporal scales, up to decades for questions related to long-term processes such as global warming and the rise in sea level.; The complex questions being addressed internationally require that scientists take advantage of new technologies including remote sensing, geographic information systems GIS, and powerful climatic and environmental simulation models. As more environmental scientists begin to work at these broader spatial and temporal scales, and to utilize many of the newer technologies, they are recognising a whole new class of problems.; This book aims to address the most pertinent issues, and includes a comprehensive review of selected topics, case studies, and theoretical discussions, divided into seven sections each preceded by a brief introduction.

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Editorial Reviews

Review

"...it covers a large subject area with a mixture of reviews and case studies which provide useful reference material." -- International Journal of GIS

About the Author

Michener; W K Joseph W. Jones Ecological Research Centre in Georg,Brunt; J W University of New Mexico,Stafford; S G Oregon State University,

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Inside This Book (learn more)
First Sentence:
Figure 1.1 A new dynamic between science and technology has forced evolution of the way in which environmental information is now managed and analyzed. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
digital raster data, composite information systems, sharing spatial information, zero carbon balance, land surface parametrizations, terrain analysis tools, information management staff, harvest mask, land cover characteristics data, ecological simulation models, soil transmissivity, coupling satellite data, seasonal land cover regions, spatial analytical tools, lineage metadata, environmental simulation models, scientific information system, data maturation, simple biosphere model, cover characteristics database, scientific information management, data management policies, regional forest evapotranspiration, alpine treeline ecotone, misclassified pixels
Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Konza Prairie, Geological Survey, Oxford University Press, South Carolina, National Science Foundation, Environmental Protection Agency, New Jersey, United States, Global Change Research Program, National Research Council, Pacific Northwest, Forest Service, Glacier National Park, Santa Barbara, National Geophysical Data Center, Remote Sensing of Environment, Water Resources Research, International Journal of Remote Sensing, Monte Carlo, University of California, Great Plains, Kansas State University, Technical Report, Environmental Systems Research Institute
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