Lorenzo Solari

Dr. Lorenzo Solari

CLMS, European Environment Agency, Copenhagen, Hovedstaden, Denmark
orcid

Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2013 in Remote Sensing of Environment
Verified
Journal Article
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Gerardo HerreraGerardo Herrera
Gerardo Herrera
FGFrancisco Gutiérrez
Francisco Gutiérrez
JGJuan Carlos García-Davalillo
Juan Carlos García-Davalillo
JGJesús Guerrero
Jesús Guerrero
Davide NottiDavide Notti
Davide Notti
GCG. Cooksley
G. Cooksley

8 May 2018 in Scientific Reports
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Journal Article
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FRFederico Raspini
Federico Raspini
SBSilvia Bianchini
Silvia Bianchini
ACAndrea Ciampalini
Andrea Ciampalini
Matteo Del SoldatoMatteo Del Soldato
Matteo Del Soldato
Lorenzo SolariLorenzo Solari
Lorenzo Solari
Nicola CasagliNicola Casagli
Nicola Casagli
We present the continuous monitoring of ground deformation at regional scale using ESA (European Space Agency) Sentinel-1constellation of satellites. We discuss this operational monitoring service through the case study of the Tuscany Region (Central Italy), selected due to its peculiar geological setting prone to ground instability phenomena. We set up a systematic processing chain of Sentinel-1 acquisitions to create continuously updated ground deformation data to mark the transition from static satellite analysis, based on the analysis of archive images, to dynamic monitoring of ground displacement. Displacement time series, systematically updated with the most recent available Sentinel-1 acquisition, are analysed to identify anomalous points (i.e., points where a change in the dynamic of motion is occurring). The presence of a cluster of persistent anomalies affecting elements at risk determines a significant level of risk, with the necessity of further analysis. Here, we show that the Sentinel-1 constellation can be used for continuous and systematic tracking of ground deformation phenomena at the regional scale. Our results demonstrate how satellite data, acquired with short revisiting times and promptly processed, can contribute to the detection of changes in ground deformation patterns and can act as a key information layer for risk mitigation.

25 June 2020 in Remote Sensing
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MCMichele Crosetto
Michele Crosetto
Lorenzo SolariLorenzo Solari
Lorenzo Solari
MMMarek Mróz
Marek Mróz
JBJoanna Balasis-Levinsen
Joanna Balasis-Levinsen
Nicola CasagliNicola Casagli
Nicola Casagli
HAHenrik Steen Andersen
Henrik Steen Andersen
This study is focused on wide-area deformation monitoring initiatives based on the differential interferometric SAR technique (DInSAR). In particular, it addresses the use of advanced DInSAR (A-DInSAR) techniques, which are based on large sets of synthetic aperture radar (SAR) and Copernicus Sentinel-1 images. Such techniques have undergone a dramatic development in the last twenty years: they are now capable to process big sets of SAR images and can be exploited to realize a wide-area A-DInSAR monitoring. The study describes several initiatives to establish wide-area ground motion services (GMS), both at county- and region-level. In the second part of the study, some of the key technical aspects related to wide-area A-DInSAR monitoring are discussed. Finally, the last part of the study is devoted to the European ground motion service (EGMS), which is part of the Copernicus land monitoring service. It represents the most important wide-area A-DInSAR deformation monitoring system ever developed. The study describes its main characteristics and its main products. The end of the production of the first EGMS baseline product is foreseen for the last quarter of 2021.

31 March 2013 in Environmental Earth Sciences
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Roberto TomásRoberto Tomás
Roberto Tomás
RRR. Romero
R. Romero
JMJ. Mulas
J. Mulas
JMJ. J. Marturià
J. J. Marturià
JMJordi J. Mallorqui
Jordi J. Mallorqui
PBP. Blanco
P. Blanco

24 April 2020 in Remote Sensing
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Journal Article
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Lorenzo SolariLorenzo Solari
Lorenzo Solari
Matteo Del SoldatoMatteo Del Soldato
Matteo Del Soldato
FRFederico Raspini
Federico Raspini
ABAnna Barra
Anna Barra
SBSilvia Bianchini
Silvia Bianchini
MCMichele Crosetto
Michele Crosetto
Landslides recurrently impact the Italian territory, producing huge economic losses and casualties. Because of this, there is a large demand for monitoring tools to support landslide management strategies. Among the variety of remote sensing techniques, Interferometric Synthetic Aperture Radar (InSAR) has become one of the most widely applied for landslide studies. This work reviews a variety of InSAR-related applications for landslide studies in Italy. More than 250 papers were analyzed in this review. The first application dates back to 1999. The average production of InSAR-related papers for landslide studies is around 12 per year, with a peak of 37 papers in 2015. Almost 70% of the papers are written by authors in academia. InSAR is used (i) for landslide back analysis (3% of the papers); (ii) for landslide characterization (40% of the papers); (iii) as input for landslide models (7% of the papers); (iv) to update landslide inventories (15% of the papers); (v) for landslide mapping (32% of the papers), and (vi) for monitoring (3% of the papers). Sixty-eight percent of the authors validated the satellite results with ground information or other remote sensing data. Although well-known limitations exist, this bibliographic overview confirms that InSAR is a consolidated tool for many landslide-related applications.

28 September 2017 in Remote Sensing
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ABAnna Barra
Anna Barra
Lorenzo SolariLorenzo Solari
Lorenzo Solari
MBMarta Bejar-Pizarro
Marta Bejar-Pizarro
Oriol MonserratOriol Monserrat
Oriol Monserrat
SBSilvia Bianchini
Silvia Bianchini
Sandro MorettiSandro Moretti
Sandro Moretti
This work is focused on deformation activity mapping and monitoring using Sentinel-1 (S-1) data and the DInSAR (Differential Interferometric Synthetic Aperture Radar) technique. The main goal is to present a procedure to periodically update and assess the geohazard activity (volcanic activity, landslides and ground-subsidence) of a given area by exploiting the wide area coverage and the high coherence and temporal sampling (revisit time up to six days) provided by the S-1 satellites. The main products of the procedure are two updatable maps: the deformation activity map and the active deformation areas map. These maps present two different levels of information aimed at different levels of geohazard risk management, from a very simplified level of information to the classical deformation map based on SAR interferometry. The methodology has been successfully applied to La Gomera, Tenerife and Gran Canaria Islands (Canary Island archipelago). The main obtained results are discussed.