INTEGRATION
Device integration and sampling
Review protocols, formats and connectivity first. Compatibility and collection intervals are assessed per device.
Today’s observations. Tomorrow’s evidence.
Integration scope depends on each device’s protocol, format and sampling interval. Reporting freshness depends on connectivity and equipment conditions.
Conceptual data flowFLYLENZ
Drones · imagery / location
Instruments · measurements
Sensors · observations
FLYLENZDATA PLATFORM
Operational dashboard
Task-specific reports
Reusable data assets
Our perspective
Go beyond file delivery. Preserve the context of field records and build a foundation for comparison and analysis with every observation.
The technology behind connected field data
NORMALIZATION
Time, location and units
Retain timestamps, coordinate references, units and device identifiers. Make comparison criteria and missing-data conditions explicit.
FRESHNESS
Reporting freshness
Distinguish measurement, receipt and reporting times. Design visibility into delayed or missing records.
STORAGE
History and reusable assets
Separate raw data, processed results and collection context. Agree retention periods and reuse scope for each project.
ANALYSIS
Analysis readiness
Structure records for time-series and spatial comparison. Prediction and AI analysis require separate validation.
GOVERNANCE
Access and use governance
Review roles, sharing scope, change history and export rules per project. Specify security and personal-data requirements during implementation.