Analysis of UAS data processing results
Topic 4A: GIS Analytics
Outline
- Compare survey data and errors from different flights
- Recognize differences in geoprocessing products generated by different softwares
- Understand significance of using GCPs in the processing and their impact on the final products
- Recognize what processing steps need to be modified in order to improve particular errors
- Understand what causes the ‘Bowl effect’ and know the solutions to fix it
- Execute distance, area and volume measurements
Lecture
- Lecture Slides <!– - Lecture Recording: Fall 2024 (NCSU Only)
- In-Class Recording: Fall 2024 (NCSU Only) –>
Note
The accuracy of these products was established in Topic 3B: the checkpoints collected at the field flight measured how accurate these surfaces actually are, and what change they can detect. Keep those numbers in mind when you measure distances, areas, and volumes here.
Supplemental materials
- Bowl effect explained: Mitigating systematic error in topographic models derived from UAV and ground-based image networks
- Image residuals, camera calibration and impact of GCPs: Evaluation of structure from motion for soil microtopography measurement
- Alternative to GCPs - RTK/PPK equipped UAS: Do RTK/PPK drones give you better results than using GCPs?