Overview
Fiber-optic sensing has rapidly emerged as a transformative technology for monitoring and understanding different geological, geophysical, and environmental processes. By exploiting existing telecommunication infrastructure or purpose-built cables, distributed fiber-optic sensing, such as Distributed Acoustic Sensing (DAS), Distributed Temperature Sensing (DTS), and Distributed Strain Sensing (DSS), enable high-resolution measurements across large spatial and temporal scales. These approaches open new perspectives in environmental monitoring, natural hazard assessment, and geophysical exploration by providing datasets characterized by a spatial and temporal resolution that would be otherwise impossible to obtain with conventional instruments.
In recent years, fiber-optic sensing has been successfully applied across a wide range of geoscience and engineering disciplines. These applications include tracking seismicity with unprecedented spatial coverage, imaging subsurface structures, monitoring permafrost dynamics, detecting landslides, quantifying groundwater flow, and assessing the stability of civil infrastructures. Beyond natural environments, fiber-optic networks have also been used to monitor urban noise generated by vehicles and pedestrians, offering new perspectives on urban dynamics and anthropogenic activity.
Thanks to its versatility, scalability, and ability to exploit existing telecommunication cables, fiber-optic sensing is rapidly becoming a transformative research tool in the geosciences. Its relevance is particularly pronounced in the context of the ongoing energy transition, where there is a growing need for advanced monitoring technologies to ensure the safe and sustainable development of renewable energy systems, subsurface storage facilities, and carbon capture and sequestration projects. As such, fiber-optic sensing is not only opening new scientific frontiers but also providing critical insights to address some of the most pressing environmental and societal challenges of our time.
The Summer School will be activated with at least 8 students. The maximum number of participants is set to 25 students.
The Summer School will be held on campus, in Pisa, at Dipartimento di Scienze della Terra, via Santa Maria, 53.
The program will be activated also in distance learning mode (TEAMS platform).
Get more details
Visit programme websiteProgramme Structure
DAY 1- Intro to DAS and its apps in geosciences
- Intro to signal processing tools for DAS
- Seminar by a speaker with key experience in DAS
- Demo of SOLGEO DAS Interrogator with a test installation in the Department of Earth Sciences garden
- DAS data & metadata formats, current status & future directions
- DAS data features with both horizontal telecommunication & in-well cables
- Challenges with noise in DAS data
- DAS data processing workflow
- DAS denoising
- Detecting seismic events with DAS
- Challenges arising from high data density in real-time
- Event detection using semblance
- Efficient subsampling with ORION.
- Earthquake location with DAS & with next-generation hybrid networks
- Introduction to source characterization with DAS
- Exercise with event location using DAS & hybrid networks
- Creation of a small DAS-based earthquake catalog
- Poster session & round table
- Data Sources
- Horizontal telecom cables
- Well installation
- Data from the DST garden experiment
Check out the full curriculum
Visit programme websiteKey information
Duration
- Full-time
- 5 days
Start dates & application deadlines
- Starting
- Apply before
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Language
Credits
Delivered
Campus Location
- Pisa, Italy
Disciplines
Environmental Engineering Geology Software Engineering View 4 other Short Courses in Geology in ItalyExplore more key information
Visit programme websiteWhat students do after studying Computer Science & IT
This information is based on LinkedIn alumni data for graduates from 2018 to 2024 and may not fully represent all career outcomes
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Admission Requirements
- Being Graduate Students, Early-Stage Researchers, Professionals.
- Basic knowledge of calculus, linear algebra and statistics (suggested).
- Basic knowledge of Python Programming (mandatory).
- Identity Document (*PASSPORT in case you are a foreign student*)
- Enrolment Form
- Curriculum Vitae
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Make sure you meet all requirements
Visit programme websiteTuition Fees
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International Applies to you
Applies to youNon-residents500 EUR / full≈ 500 EUR / full -
Domestic Applies to you
Applies to youCitizens or residents500 EUR / full≈ 500 EUR / full
Living costs
Pisa
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.