000			03550nam a22005295i 4500
001			978-0-387-37685-1
003			DE-He213
005			20250710083957.0
007			cr nn 008mamaa
008			100301s2007 xxu| s |||| 0|eng d
020			_a9780387376851 _a99780387376851
024	7		_a10.1007/978-0-387-37685-1 _2doi
082	0	4	_a577 _223
100	1		_aJohnson, Glen D. _eauthor.
245	1	0	_aLandscape Pattern Analysis for Assessing Ecosystem Condition _h[recurso electrónico] / _cby Glen D. Johnson, Ganapati P. Patil.
264		1	_aBoston, MA : _bSpringer US, _c2007.
300			_aXVII, 130 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aEnvironmental and Ecological Statistics ; _v1
505	0		_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.
520			_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.
650		0	_aLIFE SCIENCES.
650		0	_aREMOTE SENSING.
650		0	_aGEOGRAPHICAL INFORMATION SYSTEMS.
650		0	_aLANDSCAPE ECOLOGY.
650		0	_aSTATISTICS.
650		0	_aENVIRONMENTAL TOXICOLOGY.
650	1	4	_aLIFE SCIENCES.
650	2	4	_aLANDSCAPE ECOLOGY.
650	2	4	_aREMOTE SENSING/PHOTOGRAMMETRY.
650	2	4	_aSTATISTICS FOR LIFE SCIENCES, MEDICINE, HEALTH SCIENCES.
650	2	4	_aGEOGRAPHICAL INFORMATION SYSTEMS/CARTOGRAPHY.
650	2	4	_aECOTOXICOLOGY.
650	2	4	_aENVIRONMENTAL MONITORING/ANALYSIS.
700	1		_aPatil, Ganapati P. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780387376844
830		0	_aEnvironmental and Ecological Statistics ; _v1
856	4	0	_uhttp://dx.doi.org/10.1007/978-0-387-37685-1 _zVer el texto completo en las instalaciones del CICY
912			_aZDB-2-SBL
942			_2ddc _cER
999			_c57561 _d57561