Objectives
After completing the course, the student will be able to:
- Understand basic physical principles of passive and active remote sensing and Earth Observation (EO) technologies.
- Identify missions and services of EO space programs such as EU’s Copernicus programme and NASA’s Earth Observing System program.
- Identify types of remote sensing and EO data and its potential applications in different environmental and social challenges.
- Search for open EO data such as Multispectral, Synthetic Aperture Radar and LiDAR data from different online platforms.
- Process and analyse Multispectral, SAR, and LiDAR data using open software such as QGIS, OTB, SNAP, Python, open access cloud computing platforms and machine learning algorithms.
- Plan field surveys using an unmanned aerial vehicle (Drone) and Photogrammetry using open source tools such as Open Drone Map (ODM).
- Process and classify LiDAR cloud point data and plan field surveys using terrestrial laser scanning (TLS).
After completing the course, the student will be able to:
- Understand basic physical principles of passive and active remote sensing and Earth Observation (EO) technologies.
- Identify missions and services of EO space programs such as EU’s Copernicus programme and NASA’s Earth Observing System program.
- Identify types of remote sensing and EO data and its potential applications in different environmental and social challenges.
- Search for open EO data such as Multispectral, Synthetic Aperture Radar and LiDAR data from different online platforms.
- Process and analyse Multispectral, SAR, and LiDAR data using open software such as QGIS, OTB, SNAP, Python, open access cloud computing platforms and machine learning algorithms.
- Plan field surveys using an unmanned aerial vehicle (Drone) and Photogrammetry using open source tools such as Open Drone Map (ODM).
- Process and classify LiDAR cloud point data and plan field surveys using terrestrial laser scanning (TLS).
- Opettaja
Juuso Suomi