- Photogrammetry basics:
- Introduction to "Geo-world
- Coordinate systems
- Character terminology
- Photogrammetry General
- Introduction
- History
- Types of photogrammetry
- Supplies for photogrammetry
- Recording platform
- Camera
- Positioning
- Software
- Hardware
- Cost analysis
- Photogrammetry Theory
- Introduction
- Aerial Triangulation
- Block Equalisation
- Orthorectification
- Dense Image Matching
- Quality control techniques
- Theory over practice
- Flight preparation/planning
- Collection
- Processing in Pix4D
- Quality control
- Delivery and reprocessing into final product and/or report
- Photogrammetry Advanced:
Advanced training for surveyors that focuses more on complex surveying and advanced processing techniques. Admission requirement is the photogrammetry basic course. Agenda:
- Day 1:
- Introduction and short repetition of basic training
- Theory advanced AeroTriangulation and block equalisation
- Theory advanced Orthorectification techniques
- Theory advanced dense image matching
- Advanced quality assurance and techniques
- Day 2:
- Flight planning for fixed wing RPAS.
- Flight planning for hilly terrain.
- GCP planning and measurement
- Fixed wing flight version
- Data preprocessing
- Day 3:
- Processing data in various software packages. Agisoft, Pix4D, SimActive Correlator3D, Trimble Inpho
- Advanced data analyses and extractions in AutoCad Civil 3D, QGIS, Pythagoras, Microstation.
- LiDAR:
Basic training that covers the current lidar sensors on the market from A to Z. Admission requirement is the basic training in photogrammetry. Agenda:
- Day 1:
- Introduction to Remote Sensing
- History
- Theory behind the LiDAR technique
- Application possibilities
- Quality control techniques and quality assurance
- Theory to the collection of LiDAR data
- Data processing techniques
- Day 2:
- Flight Planning
- Measuring GCP
- Flight operations
- Data preprocessing steps
- Day 3:
- Processing into geo-referenced point clouds;
- Colours of the point cloud;
- Classification of point clouds;
- Data analyses on lidar point clouds