The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part BI. Beijing 2008
- when the model of the monitored area has been generated,
computations about volume variations as well as on the
differences between the multitemporal models of the same
object can be carried out. Since the model accuracy (in the
case of environmental applications) is usually centimetric,
only displacements greater than a few centimetres can be
detected;
- laser scanners are usually lighter and less bulky than GB-SAR
instrumentation and it is possible to transport them without
particular vehicles;
- laser scanner techniques allow dense digital elevation models
(DDEMs) of the observed object to be generated; in the case
of multitemporal scans, it is possible to detect displacements
in each small portion of the observed area and not in pixels of
a few square metres of dimension as in GB-InSAR products;
- no problems occur in the case of a change in the laser scanner
position between repeated measurement campaigns because
the reference system of the models is “fixed” on the markers,
while even millimetric changes in the position of GB-SAR
instrumentation can dramatically reduce the measurement
accuracy;
- the measurement range can vary to a great extent for different
instruments; in general it can vary between 10 m up to some
kilometres;
- thanks to the comparison between multitemporal scans, 3D
displacements can be detected, while with GB-SAR only the
displacement component parallel to the line of sight of the
instrument can be detected.
4. CONCLUSIONS AND FUTURE WORK
In this work, both GB-InSAR and TLS measurements were used
to monitor the landslide of the Ex-Locatelli quarry.
No displacements occurred during the five days of monitoring:
the landslide is in fact quiescent but at risk of reactivation, and
no precipitations occurred during the monitoring campaign. The
local Authorities are at present considering a new campaign.
Thanks to this work, both techniques have been applied and
their principal features have been compared.
The GB-InSAR technique can be useful for many applications,
such as continuous or repeated monitoring of slopes, landslides,
quarries, glaciers and of the snow cover (Achache et al., 1996;
Ferro-Famil et al, 2005; Fortuny-Guasch et al, 2005) . It can
also be applied to monitor buildings and large infrastructures,
such as dams, bridges and towers, either in static or dynamic
conditions. This technique can be very useful for the remote
monitoring of terrain slopes and as an early-warning system to
assess the risk of rapid landslides.
Its measurement accuracy has been estimated from a statistical
point of view both in a test-site in Florence and during the
monitoring campaign of the Baveno landslide. In the case of
continuous monitoring, a sub-millimetric accuracy can be
reached (± 0.70 mm at 95 % reliability in the case of study),
while in the case of repeated monitoring it is not possible to
reach a similar accuracy because of phase decorrelation. In this
latter case, it is necessary to turn to different techniques, such as
the “coherent points" technique, with a decrease in accuracy; in
this case, the displacement measurements are limited to many
sparse points and the broad information provided by
interferometric displacement maps obtained with continuous
monitoring is thus lost.
The TLS technique allows a complete and accurate DEM of the
monitored area to be obtained. It can be useful for natural
hazard and risk assessment where morphological investigation
is a starting point to evaluate stability properties. In the case of
multitemporal scans, it is possible to compute volume variations
of the observed object, providing 3D displacement
measurements, while, with the GB-InSAR technique, only the
displacement component parallel to the line of sight of the
instrument can be detected.
These two techniques can be considered complementary. TLS
can be usefully used to generate an accurate digital model on
which SAR images can be focused. The data obtained by SAR
could also be linked to the TLS measurements, but limited to
some points in order to reconstruct the absolute phase
information of the entire area observed by the radar.
It can be concluded that the integration of GB-InSAR and TLS
techniques is a powerful remote sensing system for
environment monitoring.
References
J. Achache, C. Delacourt and B. Fruneau, 1996. Observation
and modelling of the Saint-Etienne-De-Tinee landslide using
SAR interferometry. Tectonophysics, 256 (3), pp. 181-190.
C. Atzeni, G. Luzi and M. Pieraccini, 2001. Terrain Mapping
by Ground-Based Interferometric Radar. IEEE Transactions on
Geoscience and Remote Sensing, 39 (10), pp. 2176-2181.
L. Bomaz and S. Dequal, 2003. A new concept: the solid
image. ISPRS, Voi. XXXVI-5/C34.
G. B. Crosta et al, 2007. Studio di fattibilità della sistemazione
del dissesto idrogeomorfologico sul versante a monte dell’area
di cava denominata “ex-Locatelli” nel territorio del Comune di
Baveno (VB), Verbania Fondotoce, Italy.
http://www.provincia. verbania.it/pag.php?id=511 &op=P&idme
nu=729
A. Ferretti, C. Prati and F. Rocca, 2001. Permanent scatterers in
SAR interferometry. IEEE Transactions on Geoscience and
Remote Sensing, 39 (1), pp. 8-20.
T. Ferro-Famil et al, 2005. Applications of polarimetrie
interferometric ground-based SAR (GB-SAR) system to
environment monitoring and disaster prevention. Radar
Conference, EURAD 2005, pp. 29-32.
J. Fortuny-Guasch, A. Martinez-Vazquez and U. Gruber, 2005.
Monitoring of the snow cover with ground-based synthetic
aperture radar. EARSeL eProceedings, 4 (2), pp. 171-178.
G. Luzi, M. Pieraccini, D. Mecatti, L. Noferini, G. Macaiuso, A.
Galgaro and C. Atzeni., 2006. Advances in ground-based
microwave interferometry for landslide survey: a case study.
International Journal of Remote Sensing, 27 (12), pp. 2331-
2350.
L. Noferini et al, 2005. Permanent scatterers analysis for
atmospheric correction in ground-based SAR interferometry.
IEEE Transactions on Geoscience and Remote Sensing, 43 (7),
pp. 1459-1471.
Acknowledgements
The authors wish to acknowledge the Department of Electronics
and Telecommunications at the University of Florence for the
GB-InSAR measurements and processing and the Verbano
Cusio Ossola Province Authorities for their assistance in the
logistics of the measurement campaign.