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020 _a9780387376851
_99780387376851
024 7 _a10.1007/9780387376851
_2doi
035 _avtls000331355
039 9 _a201509030225
_bVLOAD
_c201404121826
_dVLOAD
_c201404091554
_dVLOAD
_c201401311412
_dstaff
_y201401301207
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aQH541.15.L35
100 1 _aJohnson, Glen D.
_eautor
_9300935
245 1 0 _aLandscape Pattern Analysis for Assessing Ecosystem Condition /
_cby Glen D. Johnson, Ganapati P. Patil.
264 1 _aBoston, MA :
_bSpringer US,
_c2007.
300 _axvii, 130 páginas,
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
490 0 _aEnvironmental and Ecological Statistics ;
_v1
500 _aSpringer eBooks
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.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700 1 _aPatil, Ganapati P.
_eautor
_9300936
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9780387376844
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-0-387-37685-1
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c277823
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