000			03225nam a22003495i 4500
001			325337
003			MX-SnUAN
005			20160429161751.0
007			cr nn 008mamaa
008			160111s2014 ne | s |||| 0|eng d
020			_a9789400779693 _9978-94-007-7969-3
035			_avtls000425719
039		9	_y201601111133 _zstaff
050		4	_aGB3-5030
245	1	0	_aLand use and land cover mapping in europe : _bpractices & trends / _cedited by Ioannis Manakos, Matthias Braun.
264		1	_aDordrecht : _bSpringer Netherlands : _bSpringer, _c2014.
300			_axi, 441 páginas : _b112 ilustraciones, 79 ilustraciones en color.
336			_atexto _btxt _2rdacontent
337			_acomputadora _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_aarchivo de texto _bPDF _2rda
490	0		_aRemote Sensing and Digital Image Processing, _x1567-3200 ; _v18
500			_aSpringer eBooks
505	0		_aRemote Sensing in support of the geo-information in Europe -- Global land cover mapping: Current status and future trends -- The users’ role in the current European land monitoring context -- Towards an European land cover monitoring service and high-resolution layers -- CORINE Land Cover and land cover change products -- European Area Frame Sampling based on Very High Resolution image -- European forest monitoring approaches -- The European Urban Atlas -- A review of modern approaches to classification of remote sensing data -- Recent advances in remote sensing change detection – a review -- Synergies from SAR-optical data fusion for LULC mapping -- Application of object-oriented method for classification of VHR satellite images using rule-based approach and texture measures -- Remote sensing of vegetation for nature conservation -- Modeling urban sprawl -- Land Information System Austria (LISA) -- Digital Land Cover Model for Germany DLM DE – The “German Way” -- Land Use & land cover mapping in Europe: Examples from the UK -- Operational land cover and land use mapping in the Netherlands -- The use of the Land-Cover Classification System in Eastern European countries: experiences, lessons learnt and the way forward -- Differentiation of Crop Types and Grassland by Multi-Scale Analysis of Seasonal Satellite Data -- Enhancing remotely sensed low resolution vegetation data for assessing Mediterranean areas prone to land degradation -- Beyond NDVI: Extraction of biophysical variables from remote sensing imagery -- Land transformation processes in NE China: Tracking trade-offs in ecosystem services across several decades with Landsat-TM/ETM+ time series -- Carbon stock estimation of tropical forests on Borneo, Indonesia, for REDD+.
590			_aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700	1		_aManakos, Ioannis, _eeditor. _9371614
700	1		_aBraun, Matthias, _eeditor. _9371615
710	2		_aSpringerLink (Servicio en línea) _9299170
776	0	8	_iEdición impresa: _z9789400779686
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-94-007-7969-3 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942			_c14
999			_c325337 _d325337