Optimised data-gluing method for mixed analog/photon-counting lidar signals

In atmospheric LIDAR (Light Detection and Ranging) remote sensing, the dynamic range of the return power signals can span up to five orders of magnitude. Modern acquisition systems such as those based on LicelTM transient recorders combine a dual acquisition mode in which the return signal is record...

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Main Authors: Lange, Diego, Kumar, Dhiraj, Rocadenbosch Burillo, Francisco, Sicard, Michaël, Comerón Tejero, Adolfo
Other Authors: Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions, Universitat Politècnica de Catalunya. ANTENNALAB - Grup d'Antenes i Sistemes Radio, Universitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció
Format: Conference Object
Language:English
Published: 2011
Subjects:
Online Access:http://hdl.handle.net/2117/87322
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spelling ftupcatalunya:oai:upcommons.upc.edu:2117/87322 2023-05-15T16:50:02+02:00 Optimised data-gluing method for mixed analog/photon-counting lidar signals Lange, Diego Kumar, Dhiraj Rocadenbosch Burillo, Francisco Sicard, Michaël Comerón Tejero, Adolfo Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions Universitat Politècnica de Catalunya. ANTENNALAB - Grup d'Antenes i Sistemes Radio Universitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció 2011 3 p. http://hdl.handle.net/2117/87322 eng eng http://www.scielo.org.bo/pdf/rbf/v20n20/v20n20a02.pdf Restricted access - publisher's policy Àrees temàtiques de la UPC::Enginyeria civil::Geotècnia Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció Remote sensing Volcanic eruptions Lidar Tropospheric and stratospheric aerosols Gluing Teledetecció Erupcions volcàniques Conference lecture 2011 ftupcatalunya 2019-09-29T08:54:36Z In atmospheric LIDAR (Light Detection and Ranging) remote sensing, the dynamic range of the return power signals can span up to five orders of magnitude. Modern acquisition systems such as those based on LicelTM transient recorders combine a dual acquisition mode in which the return signal is recorded simultaneously in both analog (analog-to-digital (AD) conversion) and photon-counting (PC) modes. Although both data records can be analyzed separately, their combination obtained through gluing gives the advantage of the high linearity of the AD conversion for high light-level signals (especially in the near range) and the high sensitivity of the PC mode for low light-level signals (in the far range). Recently, eruptions of volcanoes such as Eyjafjalla (Iceland) in 2010, Grímsvötn (Iceland Puyehue (Argentina) Nabro (Eritrea) and Mount Lokon (Indonesia) in 2011 have yielded emergency situations with a strong economical cost due to human evacuation and/or air traffic interruption. Volcanic aerosols are first injected in the troposphere and often reach the stratosphere where they can reside for several years. The mixed analog/photo-counting acquisition approach is particularly suitable for the detection of volcanic aerosols in both the troposphere (near/mid range) and the stratosphere (far range). In this line, a case study showing volcanic aerosols from the Nabro volcano (Eritrea, 2011) in the stratosphere and simultaneously Saharan dust in the troposphere over the multi-spectral Barcelona lidar station during the period 27 June – 1 July 2011 is presented. The benefits of the proposed gluing technique will be shown through the comparison of analog, PC, and glued backscatter-coefficient time series. Existing gluing algorithms solve the fitting coefficients by matching both analog and PC data over a predefined spatial range (or equivalently, over a predefined upper and lower counting rate) depending on which kind of photodetector (usually a photomultiplier) is being used. In this work, an enhanced data-gluing formulation is presented. The method automatically finds the spatial range where both analog and PC signals are more similar based on Euclidian distance minimization over piece-wise range intervals along the whole acquisition spatial range. Peer Reviewed Postprint (published version) Conference Object Iceland Universitat Politècnica de Catalunya (UPC): Theses and Dissertations Online (TDX) Argentina
institution Open Polar
collection Universitat Politècnica de Catalunya (UPC): Theses and Dissertations Online (TDX)
op_collection_id ftupcatalunya
language English
topic Àrees temàtiques de la UPC::Enginyeria civil::Geotècnia
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció
Remote sensing
Volcanic eruptions
Lidar
Tropospheric and stratospheric aerosols
Gluing
Teledetecció
Erupcions volcàniques
spellingShingle Àrees temàtiques de la UPC::Enginyeria civil::Geotècnia
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció
Remote sensing
Volcanic eruptions
Lidar
Tropospheric and stratospheric aerosols
Gluing
Teledetecció
Erupcions volcàniques
Lange, Diego
Kumar, Dhiraj
Rocadenbosch Burillo, Francisco
Sicard, Michaël
Comerón Tejero, Adolfo
Optimised data-gluing method for mixed analog/photon-counting lidar signals
topic_facet Àrees temàtiques de la UPC::Enginyeria civil::Geotècnia
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció
Remote sensing
Volcanic eruptions
Lidar
Tropospheric and stratospheric aerosols
Gluing
Teledetecció
Erupcions volcàniques
description In atmospheric LIDAR (Light Detection and Ranging) remote sensing, the dynamic range of the return power signals can span up to five orders of magnitude. Modern acquisition systems such as those based on LicelTM transient recorders combine a dual acquisition mode in which the return signal is recorded simultaneously in both analog (analog-to-digital (AD) conversion) and photon-counting (PC) modes. Although both data records can be analyzed separately, their combination obtained through gluing gives the advantage of the high linearity of the AD conversion for high light-level signals (especially in the near range) and the high sensitivity of the PC mode for low light-level signals (in the far range). Recently, eruptions of volcanoes such as Eyjafjalla (Iceland) in 2010, Grímsvötn (Iceland Puyehue (Argentina) Nabro (Eritrea) and Mount Lokon (Indonesia) in 2011 have yielded emergency situations with a strong economical cost due to human evacuation and/or air traffic interruption. Volcanic aerosols are first injected in the troposphere and often reach the stratosphere where they can reside for several years. The mixed analog/photo-counting acquisition approach is particularly suitable for the detection of volcanic aerosols in both the troposphere (near/mid range) and the stratosphere (far range). In this line, a case study showing volcanic aerosols from the Nabro volcano (Eritrea, 2011) in the stratosphere and simultaneously Saharan dust in the troposphere over the multi-spectral Barcelona lidar station during the period 27 June – 1 July 2011 is presented. The benefits of the proposed gluing technique will be shown through the comparison of analog, PC, and glued backscatter-coefficient time series. Existing gluing algorithms solve the fitting coefficients by matching both analog and PC data over a predefined spatial range (or equivalently, over a predefined upper and lower counting rate) depending on which kind of photodetector (usually a photomultiplier) is being used. In this work, an enhanced data-gluing formulation is presented. The method automatically finds the spatial range where both analog and PC signals are more similar based on Euclidian distance minimization over piece-wise range intervals along the whole acquisition spatial range. Peer Reviewed Postprint (published version)
author2 Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
Universitat Politècnica de Catalunya. ANTENNALAB - Grup d'Antenes i Sistemes Radio
Universitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció
format Conference Object
author Lange, Diego
Kumar, Dhiraj
Rocadenbosch Burillo, Francisco
Sicard, Michaël
Comerón Tejero, Adolfo
author_facet Lange, Diego
Kumar, Dhiraj
Rocadenbosch Burillo, Francisco
Sicard, Michaël
Comerón Tejero, Adolfo
author_sort Lange, Diego
title Optimised data-gluing method for mixed analog/photon-counting lidar signals
title_short Optimised data-gluing method for mixed analog/photon-counting lidar signals
title_full Optimised data-gluing method for mixed analog/photon-counting lidar signals
title_fullStr Optimised data-gluing method for mixed analog/photon-counting lidar signals
title_full_unstemmed Optimised data-gluing method for mixed analog/photon-counting lidar signals
title_sort optimised data-gluing method for mixed analog/photon-counting lidar signals
publishDate 2011
url http://hdl.handle.net/2117/87322
geographic Argentina
geographic_facet Argentina
genre Iceland
genre_facet Iceland
op_relation http://www.scielo.org.bo/pdf/rbf/v20n20/v20n20a02.pdf
op_rights Restricted access - publisher's policy
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