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  5. EXPERIENCE IN MOBILE LASER SCANNING BY MEANS OF LYNX SYSTEM IN L’AQUILA CITY
 
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EXPERIENCE IN MOBILE LASER SCANNING BY MEANS OF LYNX SYSTEM IN L’AQUILA CITY

Author(s)
Pesci, A.  
Istituto Nazionale di Geofisica e Vulcanologia, Sezione Bologna, Bologna, Italia  
Loddo, F.  
Istituto Nazionale di Geofisica e Vulcanologia, Sezione Bologna, Bologna, Italia  
Casula, G.  
Istituto Nazionale di Geofisica e Vulcanologia, Sezione Bologna, Bologna, Italia  
Zampa, F.  
SINECO SPA  
Teza, G.  
Università degli Studi di Padova (Dipartimento di Geoscienze)  
Sponsors
INGV
Language
English
Obiettivo Specifico
1.10. TTC - Telerilevamento
Status
Published
Peer review journal
Yes
Date Issued
March 9, 2010
Alternative Location
http://portale.ingv.it/produzione-scientifica/rapporti-tecnici-ingv/copy_of_numeri-pubblicati-2010/2010-03-09.3028380825
Series/Report No.
2010
133
URI
https://www.earth-prints.org/handle/2122/5955
Subjects
04. Solid Earth::04.03. Geodesy::04.03.09. Instruments and techniques  
Subjects

MOBILE LASER SCANNING...

LYNX Mobile Mapper

topographical instrum...

earthquake damaged ar...

Abstract
The terrestrial laser scanner is an efficient topographical instrumentation used to acquire a
redundant number of points distributed over a physical surface. The goal of laser scanning is
the definition of very accurate models of the studied areas. In this way, deformations or
changes can be monitored by means of repeated surveys in different epochs [Pesci et al.,
2005; 2007].
The laser signal is characterized by highly collimated, monochromatic, and coherent radiation
that is well suitable for very short impulse generation in the nanosecond scale. The operating
methodology of a time-of-flight laser scanner is similar to a laser range-finder, measuring the
time it takes a laser pulse to travel from a transmitter to the surface surveyed, and back to a
detector device. The range d is computed using the relation d = ct / 2, where t is the time of
flight and c is the speed of light. The advantage of this instruments is the laser beam
deflection over a very accurate angular grid, that can be obtained by oscillating and rotating
mirrors, thus providing a wide coverage area between adjacent points. Each point is collected
into a local reference system consisting of the origin at the instrument sensor, well-known
angular parameters, and very accurate measurements of range.
Together with point coordinates (x, y, z) , radiometric values related to the surveyed object’s
reflectivity can be calculated from returned signal energy. The maximum measurable range
depends on the illuminated material roughness and color, and the laser wavelength [Fidera et
al. 2004, Pesci and Teza, 2008].
Divergence values for new generation long-range scanners are extremely reduced,
illuminating very small surface elements for each shot. The spot dimension increases linearly
with the distance, and is always greater than the lower limit of the instantaneous field of view
(IFOV) due to physical diffraction.
Effective laser scanner characteristics are defined by a set of parameters, including: range
resolution (depending on telemeter efficiency), single point measurement accuracy
(depending on the internal electronic device, signal-to-noise ratio and critical time needed for
pulse recognition), beam divergence (which defines the IFOV, depending on laser
wavelength), and minimum angular step (depending on the internal mirrors calibrated system)
[Wehr and Lohr 1999].
Overlap is the laser scanning strategy that can reduce errors, because redundant points are
acquired belonging to the same illuminated area. A common overlap is obtained by fixing the
ratio between spot dimension (the area illuminated by a single pulse with a given divergence)
and angular step so that a given point is measured 10 times. For instance, if the divergence is
3 mrad and angular variation about 0.3 mrad, at 100 m distance, an element included in a 3
cm area is observed 10 times.
The final result of a laser scanner application is a very dense point cloud, with radiometric
reflectivity data for each point.
References
Anzidei, M., Boschi, E., , Cannelli, V., Devoti, R., Esposito, A., Galvani, A., Melini, D.
Pietrantonio, G., Riguzzi, F., Sepe V. and Serpelloni, E. (2009): Coseismic
Deformation Of The Destructive April 6, 2009 L’aquila Earthquake (Central Italy)
From Gps Data. Geophysics Research Letters, 36, L17307, Doi:10.1029/2009gl039145.
Fidera, A., Chapman, M.A. And Hong, J. (2004): Terrestrial Lidar for industrial metrology
applications: Modeling, enhancement and reconstruction. In XXth ISPRS Congress,
12–23 July 2004, Istanbul, Turkey.
Zampa, F., Conforti, D. (2009): Mapping with Mobile Lidar, GIM International 23(4), 35-37.
Galadini, F. and Galli, P. (2000). Active Tectonics in the Central Apennines (Italy) – Input
Data for Seismic Hazard Assessment, 22(3), 225-270.
Pesci, A., Loddo, F., Conforti, D. (2007): The first terrestrial laser scanner survey OVER
VESUVIUS: the high resolution model of VOLCANO crater (Napoli, Italy).
International Journal of Remote Sensing, 28, 1, 203-219.
Pesci, A., Fabris, M., Conforti, D., Loddo, F., Baldi, P., Anzidei, M. (2007): Integration of
TLS and aerial digital photogrammetry for Vesuvio volcano modelling. Journal of
Volcanology and Geothermal Research, 162, 123-138.
Pesci, A. and Teza, G. (2008): Effects of surface irregularities on intensity data from laser
scanning: an experimental approach. Annals of Geophysics, 51, 5-6, 839-848.
WEHR, A. and LOHR, U. (1999): Airborne laser scanning - an introduction and overview.
ISPRS Journal of Photogrammetry and Remote Sensing, 54, 68–82.
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