CALL FOR ABSTRACT - Italian SIMP, SGI, SOGEI, AIV Joint Congress - P28. Geodetic observations and multi-source data for the analysis and modeling of Earth's surface deformation

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From: Alessandro La Rosa <alessandro.larosa@xxxxxxxxxxxx>


Dear Colleagues,


We are pleased to invite you to submit your abstract to our session:
*P28*. *Geodetic
observations and multi-source data for the analysis and modeling of Earth's
surface deformation. *The session will be held in presence at the
Italian *SIMP,
SGI, SOGEI, AIV Joint Congress* in *Potenza *(Italy) from *19** to
21** September
2023*.


The abstract submission* deadline *is the *6 May 2023 *at *19:00 CET*


*Session description:*

The Earth's surface is constantly shaped by geological and anthropogenic
processes acting at various spatial and temporal scales. Earthquakes,
volcanic eruptions and urban subsidence are just a few examples of
spectacular, but potentially life-threatening surface deformation
processes. Nowadays, advanced geodetic techniques, e.g., InSAR and GNSS,
combined with field observations and modern modeling techniques are
established powerful tools for the understanding and monitoring of these
phenomena as also the future mitigation of their effects. Furthermore, the
development of modern satellite-based sensors is providing an increasingly
large amount of measurements with high accuracy and dense spatial and
temporal resolution. This session seeks the most recent geodesy
applications for active tectonics studies, volcanology, but also
hydrogeology and anthropogenic processes, including mining and urban
subsidence due to groundwater and geothermal exploitation, karst processes
(e.g., sinkholes). We encourage contributions favoring a multi-disciplinary
approach that combines InSAR and GNSS with other remote sensing and field
techniques to provide multi-scale insights into the investigated phenomena.
We also promote case studies focused on the advancements of data modeling
techniques for the analysis of deformation processes (e.g., inverse
methods, finite elements models and machine learning approaches).
Contributions from early-career scientists are particularly encouraged and
welcome.


Additional information on the session can be found at:
https://urldefense.com/v3/__https://www.geoscienze.org/N140/p28-geodetic-observations-and-multi-source-data-for-the-analysis-and-modeling-of-earth-s-surface-deformation.html__;!!IKRxdwAv5BmarQ!bOA8nSdSN3X1m43TqH8X-PbyngmXT_BUWVdvfPn9LDBD89wGzLsH2cP5u9Gj4FhaN9D2Mflqkfg3gTN2$ 
<https://urldefense.com/v3/__https://www.geoscienze.org/N140/p28-geodetic-observations-and-multi-source-data-for-the-analysis-and-modeling-of-earth-s-surface-deformation.html__;!!IKRxdwAv5BmarQ!dX0Ar3thRLSLB5USUGY5qrsXGxWI0L7MT-VFQS_Ls45nHcTELnu7BtyQcXSbTAfrH-HqA9MuYcAmHdKnQMa1ow54KEmcxgE$>


The abstracts can be submitted after registering at:
https://urldefense.com/v3/__https://www.geoscienze.org/560/registrati.html__;!!IKRxdwAv5BmarQ!bOA8nSdSN3X1m43TqH8X-PbyngmXT_BUWVdvfPn9LDBD89wGzLsH2cP5u9Gj4FhaN9D2MflqkZbOqob1$ 
<https://urldefense.com/v3/__https://www.geoscienze.org/560/registrati.html__;!!IKRxdwAv5BmarQ!dX0Ar3thRLSLB5USUGY5qrsXGxWI0L7MT-VFQS_Ls45nHcTELnu7BtyQcXSbTAfrH-HqA9MuYcAmHdKnQMa1ow54NlBQzyk$>


We look forward to meet you in Potenza!


All the best,


the conveners:

Alessandro La Rosa (University of Pisa)

Andrea Barone (CNR - IREA)

Simona Miccolis (INGV)

Diana Orlandi (University of Pisa)


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