SPACE GEODESY AND GEOMATICS

Course objectives

- Understand spatial geodesy techniques (GNNS, VLBI, SLR) for the georeferencing of spatial data and methods for multi-temporal processing of optical remote sensing data, radar and lidar. - Develop skills on space geodesy and satellite and aerial remote sensing techniques for the control, monitoring and prevention of natural or anthropogenic risks that involve degenerative processes on the environment and on the territory (hydrogeological instability, coastal erosion, storage pollution of waste and industrial areas, state of vegetation, etc.) - Understand the methods and tools for the construction of WEBGIS and georeferenced databases, from urban to territorial scale, useful for the management of goods production systems and the provision of sustainable services (e.g. control of the stability of buildings and infrastructures, maintenance of technological and transport networks, management of green areas, etc.) - Experience on experimental data in the thematic laboratory to be developed on real case studies

Channel 1
MARIA ANTONIETTA MARSELLA Lecturers' profile

Program - Frequency - Exams

Course program
- **GEODESY AND SPACE TECHNIQUES** - Earth's gravitational field: reference surfaces, geoid, rotation ellipsoid. - Reference systems and global coordinates: 3D and altimetric Datum, global geodetic and cartographic networks. - Space Geodesy Techniques: VLBI (Very Long Baseline Interferometry), SLR (Satellite Laser Ranging), GNSS (Global Navigation Satellite System). - **MAPPING, DATA GEOREFERENCING, AND GIS** - Digital mapping: raster formats (files, geometric and radiometric resolution) and vector formats (geometric primitives, attributes, topological relationships). - Photogrammetry: principles, mathematical models, data processing (aerial and UAV), DEM and orthophotos. - GIS: hardware/software components, cartographic data organization, databases, spatial and multi-temporal analysis. - WEBGIS and server systems: WMS, WFS. - **EO TECHNIQUES WITH OPTICAL SENSORS** - Satellite sensors: panchromatic, multispectral, TIR. - EO programs and missions: applications, services, Copernicus system. - Stereoscopic photogrammetry: DEM, orthorectification, filtering, graphic editing. - Classification: thematic mapping, change analysis. - Quality control and validation. - **EO TECHNIQUES WITH SAR SENSORS** - Fundamentals of SAR interferometry. - Data processing: amplitude, phase, coherence maps. - Differential interferometry (DINSAR): DEM extraction and displacement time series.
Prerequisites
Expertise in applying advanced mathematical tools and sophisticated software for the analysis and processing of large-scale remote sensing images and data.
Books
Lecture notes and reference provided by the teacher and Published on Classroom
Frequency
Strongly recommended, but not mandatory.
Exam mode
Verifica delle basi teoriche e della capacità di analizzare e interpretare i dati ricavati dal telerilevamento.
Lesson mode
Lessons and classroom exercises with the support of assistants.
  • Lesson code10595976
  • Academic year2025/2026
  • CourseSpace and astronautical engineering
  • CurriculumSpacecraft design and integration (percorso formativo valido anche ai fini del conseguimento del doppio titolo con Georgia institute of technology and Georgia Tech Lorraine)
  • Year2nd year
  • Semester1st semester
  • SSDICAR/06
  • CFU6