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Atmospheric boundary layer height monitoring using a kalman filter and backscatter lidar returns
dc.contributor.author | Lange, Diego |
dc.contributor.author | Tiana Alsina, Jordi |
dc.contributor.author | Saeed, Umar |
dc.contributor.author | Tomás Martinez, Sergio |
dc.contributor.author | Rocadenbosch Burillo, Francisco |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions |
dc.date.accessioned | 2014-07-02T10:17:00Z |
dc.date.created | 2014-08-01 |
dc.date.issued | 2014-08-01 |
dc.identifier.citation | Lange, D. [et al.]. Atmospheric boundary layer height monitoring using a kalman filter and backscatter lidar returns. "IEEE transactions on geoscience and remote sensing", 01 Agost 2014, vol. 52, núm. 8, p. 4717-4728. |
dc.identifier.issn | 0196-2892 |
dc.identifier.uri | http://hdl.handle.net/2117/23382 |
dc.description.abstract | A solution based on a Kalman filter to trace the evolution of the atmospheric boundary layer (ABL) sensed by a ground-based elastic-backscatter tropospheric lidar is presented. An erf-like profile is used to model the mixing-layer top and the entrainment-zone thickness. The extended Kalman filter (EKF) enables to retrieve and track the ABL parameters based on simplified statistics of the ABL dynamics and of the observation noise present in the lidar signal. This adaptive feature permits to analyze atmospheric scenes with low signal-to-noise ratios (SNRs) without the need to resort to long-time averages or range-smoothing techniques, as well as to pave the way for future automated detection solutions. First, EKF results based on oversimplified synthetic and experimental lidar profiles are presented and compared with classic ABL estimation quantifiers for a case study with different SNR scenarios. |
dc.format.extent | 12 p. |
dc.language.iso | eng |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) |
dc.subject | Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció |
dc.subject | Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal |
dc.subject.lcsh | Signal processing |
dc.subject.lcsh | Remote sensing |
dc.subject.lcsh | Kalman filtering |
dc.subject.other | Adaptive kalman filtering |
dc.subject.other | Laser radar |
dc.subject.other | Remote sensing |
dc.subject.other | Signal processing |
dc.subject.other | Entrainment zone thickness |
dc.subject.other | Mixed-layer |
dc.subject.other | Depth |
dc.subject.other | Top |
dc.subject.other | Area |
dc.title | Atmospheric boundary layer height monitoring using a kalman filter and backscatter lidar returns |
dc.type | Article |
dc.subject.lemac | Tractament del senyal |
dc.subject.lemac | Teledetecció |
dc.subject.lemac | Kalman, Filtratge de |
dc.contributor.group | Universitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció |
dc.identifier.doi | 10.1109/TGRS.2013.2284110 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://ieeeexplore.us/xpl/articleDetails.jsp?tp=&arnumber=6646215&searchWithin%3Dp_Authors%3A.QT.Saeed%2C+U..QT.%26pageNumber%3D2 |
dc.rights.access | Restricted access - publisher's policy |
local.identifier.drac | 13596788 |
dc.description.version | Postprint (published version) |
dc.date.lift | 10000-01-01 |
local.citation.author | Lange, D.; Tiana, J.; Saeed, U.; Tomás, S.; Rocadenbosch, F. |
local.citation.publicationName | IEEE transactions on geoscience and remote sensing |
local.citation.volume | 52 |
local.citation.number | 8 |
local.citation.startingPage | 4717 |
local.citation.endingPage | 4728 |
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