How do we provide actionable data?
Mapping involves some basic geospatial scientific knowledge. You need to have a basic understanding about what factors influence the data that a drone captures. To provide actionable data, we need to take a look at two overarching topics: Accuracy and Fidelity.
Accuracy
Factors to consider: GNSS strength, RTK availability, Ground Control Points (GCPs), Equipment maintenance, environmental conditions, vertical and horizontal datums (though datums may not affect accuracy, it certainly dictates whether or not your data is actionable).
Fidelity
Fidelity refers to the level of detail and resolution in your mapping data. Higher fidelity means more detailed imagery and more precise measurements. Key factors that affect fidelity include:
- Ground Sample Distance (GSD) - the real-world distance represented by each pixel
- Overlap percentages - both front and side overlap affect reconstruction quality
- Flight altitude - lower altitudes generally provide higher resolution
- Camera settings and lens quality
- Lighting conditions and time of day
Pre-Flight Planning
Successful mapping missions begin with thorough planning. This includes site reconnaissance, weather assessment, airspace authorization, and mission parameter optimization. Understanding your client's specific accuracy requirements will help determine the appropriate GSD, overlap settings, and whether ground control points are necessary.
Data Processing Best Practices
Raw imagery from your mapping mission needs to be processed into actionable deliverables. Modern photogrammetry software can generate orthomosaics, digital elevation models, point clouds, and volumetric calculations. The key is understanding which deliverables your client needs and processing the data accordingly.
Quality Control and Validation
Before delivering your mapping products, implement quality control checks to ensure accuracy standards are met. This includes reviewing tie point distributions, checking for processing artifacts, and validating measurements against known reference points when available.