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001			307013
003			MX-SnUAN
005			20170705134313.0
007			cr nn 008mamaa
008			150903s2013 gw | o |||| 0|eng d
020			_a9783642370335 _99783642370335
024	7		_a10.1007/9783642370335 _2doi
035			_avtls000361181
039		9	_a201509030620 _bVLOAD _c201405070311 _dVLOAD _y201402210942 _zstaff
040			_aMX-SnUAN _bspa _cMX-SnUAN _erda
050		4	_aKZA1002-5205
100	1		_aRösel, Anja. _eautor _9346459
245	1	0	_aDetection of Melt Ponds on Arctic Sea Ice with Optical Satellite Data / _cby Anja Rösel.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2013.
300			_axvI, 106 páginas 45 ilustraciones, 35 ilustraciones en color. _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		_aHamburg Studies on Maritime Affairs, International Max Planck Research School for Maritime Affairs at the University of Hamburg, _x1614-2462 ; _v25
500			_aSpringer eBooks
505	0		_aIntroduction -- Physical characteristics of sea ice -- Optical Remote Sensing -- Melt pond determination from Landsat satellite data -- Melt pond determination from MODIS data -- Summary and outlook -- Glossary.
520			_aThe Arctic sea ice is characterized by profound changes caused by surface melting processes and the formation of melt ponds in summer. Melt ponds contribute to the ice-albedo feedback as they reduce the surface albedo of sea ice, and hence accelerate the decay of Arctic sea ice. To quantify the melting of the entire Arctic sea ice, satellite based observations are necessary. Due to different spectral properties of snow, ice, and water, theoretically, multi-spectral optical sensors are necessary for the analysis of these distinct surface types. This study demonstrates the potential of optical sensors to detect melt ponds on Arctic sea ice. For the first time, an Arctic-wide, multi-annual melt pond data set for the years 2000-2011 has been created and analyzed.
590			_aPara consulta fuera de la UANL se requiere clave de acceso remoto.
710	2		_aSpringerLink (Servicio en línea) _9299170
776	0	8	_iEdición impresa: _z9783642370328
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-3-642-37033-5 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999			_c307013 _d307013