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Percorso della pagina
  1. Postgraduate
  2. PhD School
  3. Doctoral programs' teaching activities
  4. Chemical, Geological and Environmental Sciences / Scienze Chimiche, Geologiche e Ambientali
  5. 2023-2024
  6. Intercurricular
  1. Open-Source Software for Spatial Data Analysis
  2. Summary
Course full name
Open-Source Software for Spatial Data Analysis
Course ID number
2324-1-124R014
Course summary SYLLABUS

Course Syllabus

  • Italiano ‎(it)‎
  • English ‎(en)‎
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Titolo

Open source software for spatial data analysis

Docente(i)

Micol Rossini ; Biagio Di Mauro

Lingua

English

Breve descrizione

The aim of the course is to provide expertise in the use of open source software for data analysis. This will be done:

- explaining basic principles on digital images and statistical exploration;

- giving hands-on practice with tools and methods for satellite data exploitation;

- stimulating the exploitation of these open tools and methods in individual student research projects.

Examples of the use of open source software across a wide variety of disciplines, covering topics such as glacier dynamics, landslide mapping, volcanic activity, global forest change, inland water monitoring, urban mapping, post fire recovery, flood mapping, will be provided.

Hands-on exercises will be developed using:

- Google Earth Engine: a cloud-based platform for planetary-scale geospatial analysis.

- QGIS for remote sensing applications.

- ESA Sentinel Application Platform (SNAP).

Evaluation: YES - with a final oral presentation

CFU / Ore

2 CFU - 16 Hours (Lecture)

Periodo di erogazione

II semester: May 2024

Export

Title

Open source software for spatial data analysis

Teacher(s)

Micol Rossini ; Biagio Di Mauro

Language

English

Short description

The aim of the course is to provide expertise in the use of open source software for data analysis. This will be done:

- explaining basic principles on digital images and statistical exploration;

- giving hands-on practice with tools and methods for satellite data exploitation;

- stimulating the exploitation of these open tools and methods in individual student research projects.

Examples of the use of open source software across a wide variety of disciplines, covering topics such as glacier dynamics, landslide mapping, volcanic activity, global forest change, inland water monitoring, urban mapping, post fire recovery, flood mapping, will be provided.

Hands-on exercises will be developed using:

- Google Earth Engine: a cloud-based platform for planetary-scale geospatial analysis.

- QGIS for remote sensing applications.

- ESA Sentinel Application Platform (SNAP).

Evaluation: YES - with a final oral presentation

CFU / Hours

2 CFU - 16 Hours (Lecture)

Teaching period

II semester: May 2024

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Key information

Field of research
GEO/04
ECTS
2
Course Length (Hours)
16

Staff

    Teacher

  • MR
    Micol Rossini

Students' opinion

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Bibliography

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Enrolment methods

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