03447nam a22005055i 4500001001800000003000900018005001700027007001500044008004100059020001800100020001900118024003500137040000900172082001200181100003000193245013200223264003800355300003500393336002600428337002600454338003900480347002400519490004900543505040800592520127501000650001902275650002002294650003802314650002302352650001602375650003002391650001902421650002302440650003502463650006102498650005002559650001902609650003902628700003202667710003402699773002002733776003602753830004902789856010302838978-0-387-37685-1DE-He21320260521091913.0cr nn 008mamaa100301s2007    xxu|    s    |||| 0|eng d  a9780387376851  a997803873768517 a10.1007/978-0-387-37685-12doi  cCICY04a5772231 aJohnson, Glen D.eauthor.10aLandscape Pattern Analysis for Assessing Ecosystem Conditionh[recurso electrónico] /cby Glen D. Johnson, Ganapati P. Patil. 1aBoston, MA :bSpringer US,c2007.  aXVII, 130 p.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  arecurso en líneabcr2rdacarrier  atext filebPDF2rda1 aEnvironmental and Ecological Statistics ;v10 aMethods 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.  aAs 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. 0aLIFE SCIENCES. 0aREMOTE SENSING. 0aGEOGRAPHICAL INFORMATION SYSTEMS. 0aLANDSCAPE ECOLOGY. 0aSTATISTICS. 0aENVIRONMENTAL TOXICOLOGY.14aLIFE SCIENCES.24aLANDSCAPE ECOLOGY.24aREMOTE SENSING/PHOTOGRAMMETRY.24aSTATISTICS FOR LIFE SCIENCES, MEDICINE, HEALTH SCIENCES.24aGEOGRAPHICAL INFORMATION SYSTEMS/CARTOGRAPHY.24aECOTOXICOLOGY.24aENVIRONMENTAL MONITORING/ANALYSIS.1 aPatil, Ganapati P.eauthor.2 aSpringerLink (Online service)0 tSpringer eBooks08iPrinted edition:z9780387376844 0aEnvironmental and Ecological Statistics ;v140uhttp://dx.doi.org/10.1007/978-0-387-37685-1zVer el texto completo en las instalaciones del CICY