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001			8096
999			_c8096 _d8096
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005			20200908155718.0
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007			cr cn |||mnn||
008			200908s2020 ||||| |||| 00| 0 eng d
020			_a978-3-030-46020-4
040			_bspa _dES-VaUE
050			_aRA644 K64 _b.R46 2020 EB
100			_9515725 _aKogan, Felix
245			_aRemote Sensing for Malaria : _bMonitoring and Predicting Malaria from Operational Satellites _cFelix Kogan
260			_aCham _bSpringer Nature Switzerland _c2020
300			_a1 recurso en línea (286 páginas)
336			_2rdacontent _aTexto (visual) _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
520			_aThis book presents research using high-resolution operational satellite data for monitoring and assessing numerically how to reduce the area and intensity of malaria outbreaks. Satellite data and imageries a powerful and effective tool for malaria monitoring and reduction of the number of affected people as it bypasses the limitations imposed by the dearth of near-the-ground weather data in many malaria-prone areas.
650		0	_9515726 _aMalaria _vDetección
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=http://link.springer.com/book/10.1007/978-3-030-46020-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Valencia)
942			_2lcc _cLE
998			_db