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dc.contributor.authorTomás Martínez, Sergio
dc.contributor.authorSicard, Michaël
dc.contributor.authorRocadenbosch Burillo, Francisco
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2012-06-18T17:01:27Z
dc.date.created2009
dc.date.issued2009
dc.identifier.citationTomás, S.; Sicard, M.; Rocadenbosch, F. Wind speed and direction measurements with a backscatter lidar using the auto-correlation contour analysis. A: Remote Sensing for Agriculture, Ecosystems, and Hydrology. "Remote sensing for agriculture, ecosystems, and hydrology XIII: 19-21 September 2011, Prague, Czech Republic". Prague: 2009, p. 817702-1-817702-13.
dc.identifier.isbn978-0-8194-8801-5
dc.identifier.urihttp://hdl.handle.net/2117/16096
dc.description.abstractA method to estimate wind velocity using the backscatter lidar signals of transported aerosol particles is presented. The lidar signal is correlated along range and time dimensions for each line of sight in which the lidar is pointing. The method is based on the analysis of contours of these range-time auto-correlation functions. This analysis obtains ellipse curve parameters which are related to the radial velocity and to the square wind speed, locally retrieved for a given line of sight. The combination of data from several angular positions enables the wind direction retrieval. Two possible implementations of the method are considered and tested with an actual measurement with the lidar of the Universitat Politècnica de Catalunya (UPC).
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció
dc.subject.lcshEnvironmental monitoring -- Remote sensing
dc.titleWind speed and direction measurements with a backscatter lidar using the auto-correlation contour analysis
dc.typeConference report
dc.subject.lemacTeledetecció
dc.contributor.groupUniversitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció
dc.identifier.doi10.1117/12.898096
dc.description.peerreviewedPeer Reviewed
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac9460480
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
local.citation.authorTomás, S.; Sicard, M.; Rocadenbosch, F.
local.citation.contributorRemote Sensing for Agriculture, Ecosystems, and Hydrology
local.citation.pubplacePrague
local.citation.publicationNameRemote sensing for agriculture, ecosystems, and hydrology XIII: 19-21 September 2011, Prague, Czech Republic
local.citation.startingPage817702-1
local.citation.endingPage817702-13


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