Sampling
Define population, spatial and temporal design, revisit rate and exclusions.
Real-work map · 10
Science and environmental monitoring
Design sampling, calibration, metadata and bias controls before using persistent robotic observations for inference.
Evidence statusCross-domain mission framework · vehicle, operation and jurisdiction validation requiredLast reviewed: 15 August 2026
10
FUURAA thesis
More observations improve science only when the sampling process remains interpretable and comparable.
Engineering map
Turn the title into engineering objects that can be observed, measured and reviewed.
Each layer states the boundary to establish and the evidence needed for the next decision.
Quality
Track drift, fouling, calibration, missingness and environmental interference.
Inference
Separate measured observations from models, interpolation and operational judgement.
Verification questions
Write the questions first, then decide whether a demo, test, pilot or operating record can answer them.
Each question needs an object, conditions, denominator, threshold and accountable decision owner.
- 01
What population does the route sample?
- 02
How is sensor drift detected?
- 03
Are failed or missing observations visible?
- 04
Can results be compared across vehicles and seasons?
Evidence to preserve
Enable the next reader to reconstruct conditions, results, failures and the decision.
A conclusion alone loses reviewability; raw records, configuration and exclusions matter too.
- 01
Evidence package 1
Sampling design and metadata schema
- 02
Evidence package 2
Calibration and data-quality record
- 03
Evidence package 3
Versioned analysis with uncertainty
Scope boundary
State what this evidence still cannot be generalised to.
- 01
Persistent collection does not remove sampling bias, calibration drift or missing-data effects.
- 02
This is an engineering reading and decision framework; it does not replace application-specific risk assessment, conformity work, procurement acceptance or professional advice.
Sources and evidence status
Read standards scope, measurement evidence and application conclusions separately.
Source dates and review status remain visible; external sources open in a new tab.
01
NOAA Ocean Exploration · Updated 2022-04-25 · verified 2026-08-15
↗02Autonomous Underwater Vehicles
Describes untethered AUVs executing planned missions, storing payload data, surfacing for communications and requiring later recovery and processing.
International Hydrographic Review / IHO · Published 2020-11-30 · updated 2021-09-21
↗Hydrographic survey with autonomous surface vehicles
Separates remote piloting from several autonomy levels and links supervision to traffic, hazards, weather, sensors, communications and recovery.