OLS : Record


Main Title Landscape Pattern Analysis for Assessing Ecosystem Condition [electronic resource] /
Author Johnson, Glen D.
Publisher Springer US,
Place Published Boston, MA
Year Published 2007
Subject Added Ent Life sciences.; Remote sensing.; Geographical information systems.; Landscape ecology.; Statistics.; Environmental toxicology.
Internet Access
Description Access URL
Library   Call Number Additional Info Location Date Modified
Collation XVII, 130 p. online resource.
Contents Notes Methods for Quantitative Characterization of Landscape Pattern -- Illustrations -- Classifying Pennsylvania Watersheds on the Basis of Landscape Characteristics -- Predictability of Surface Water Pollution in Pennsylvania Using Watershed-Based Landscape Measurements -- Predictability of Bird Community-Based Ecological Integrity Using Landscape Variables -- Summary and Future Directions -- References. As we begin the 21st century, one of our greatest challenges is the preservation and remediation of ecosystem integrity. This requires monitoring and assessment over large geographic areas, repeatedly over time, and therefore cannot be practically fulfilled by field measurements alone. Remotely sensed imagery therefore plays a crucial role by its ability to monitor large spatially continuous areas. This technology increasingly provides extensive spatial-temporal data; however, the challenge is to extract meaningful environmental information from such extensive data. Landscape Pattern Analysis for Assessing Ecosystem Condition presents a new method for assessing spatial pattern in raster land cover maps based on satellite imagery in a way that incorporates multiple pixel resolutions. This is combined with more conventional single-resolution measurements of spatial pattern and simple non-spatial land cover proportions to assess predictability of both surface water quality and ecological integrity within watersheds of the state of Pennsylvania (USA). The efficiency of remote sensing for rapidly assessing large areas is realized through the ability to explain much of the variability of field observations that took several years and many people to obtain.
Author Added Ent
Patil, Ganapati P.
Corporate Au Added Ent SpringerLink (Online service)
Title Ser Add Ent Environmental and Ecological Statistics ; 1
Host Item Entry Springer eBooks
PUB Date Free Form 2007
Series Title Untraced Environmental and Ecological Statistics ; 1
BIB Level m
Medium computer
ISBN 9780387376851
OCLC Time Stamp 20141209193157
Cataloging Source OCLC/T
Language eng
OCLC Rec Leader 03573nam a22005535i 45