Demonstrator Site Link     &     Online Questionnaire Link

QA4UAV Version 1.0 – Status Update

The project is being conducted between July 2017 and September 2018. QA4UAV is currently in the stakeholder engagement phase of project planning and a User Needs Report should be available by late October 2017. An online questionnaire is now available for those interested in contributing. The User Needs Report will be followed by a Functional Requirements document and then a phased development of the product. Version 1.0 is expected to be released towards the end of 2018.

Please contribute to our QA4UAV User Needs Analysis via the questionnaire at

Quality Assurance of UAV Imagery and Photogrammetric Point Clouds

QA4UAV is an easy-to-use, automated quality assurance tool to ensure fit-for-purpose data.

QA4UAV will be an automated quality assurance software tool for UAV imagery and photogrammetric products, including point clouds and digital surface models (DSMs). It will leverage components of the existing QA4LiDAR and QA4MOBiLE tools, to build another tool in the “QA4” suite.

As UAV datasets are smaller in comparison to airborne and mobile LiDAR datasets, the software may be cloud-based. The user interface will be tailored to suppliers and end users who have less technical expertise. It will guide users through the process based on application and desired features rather than technical specifications. It will also validate project plans, flight plan sensors and controls.

Demonstrations of the developing QA4UAV capabilities can be found here.

The project will develop a standard specification for the acquisition of UAV imagery and photogrammetric products.


The modules of the tool will reflect the design of the previous QA4 software packages, including the form editor, the quality assurance software, potentially a visual review platform, and supporting documentation. Checks are likely to include:

Project Plan Checks:

  • Flight plan
  • Sensor settings
  • Ground control plan

Standard Checks:

  • Delivery completeness and file corruption
  • File naming, attributes and coordinate system
  • Form comparison
  • Classification statistics
  • Accuracy of control network

UAV Specific Checks:

  • Imagery resolution and overlap
  • Image quality
  • Imagery-survey control alignment
  • Point cloud quality assessment and vertical accuracy
  • DSM quality assessment and accuracy

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