WG4: Establishing data quality through traceability and uncertainty

WG4 aims to make measurements comparable across different scales, space and time. It thus strongly intersects with the activities of WG1, WG2 and WG3 by ensuring a homogenized and standardized approach to data quality and uncertainty. The aim will be achieved by training researchers, establishing best practices for calibration/validation (cal/val), quality assessment (QA) and integrating uncertainty and traceability in software packages to render these concepts ready for practical applications.


WG4 would like to get an overview about the status quo within the SENSECO community about instruments, calibration, validation, uncertainty and traceability. The questionnaire largely centres around your current practices for specific sensor systems and products derived thereof. We ask you to answer this questionnaire for a maximum of 3 different sensors you use most often, i.e. those that form the base of your research. If you don’t operate you own sensor, but use data delivered to you by others, please consider if you receive the uncertainty and traceability information for your processing to propagate the uncertainty.


Objective 4.1 To synthesize knowledge and protocols across the network to develop best practice procedures for traceable radiometric measurements with associated uncertainties.

Objective 4.2 To develop best practices in establishing and maintaining a traceability chain.

Objective 4.3 To develop practical examples and applications of uncertainty analysis and propagation.

Objective 4.4 To provide software support for procedures and protocols for standardized radiometric measurements and their related traceability chain and uncertainties explicitly to support the work of WG1, WG2 and WG3.

Task 4.1 Workshop (year 1) to establish the status quo of radiometric measurement approaches within the network; document the individual traceability chains and post-processing steps involving both spectral data and metadata.

Task 4.2 Training school (year 1) in collaboration with WG1, teaching the establishment of a traceability chain, aspects of calibration/validation and the practical application of uncertainty analysis and propagation to a radiometric measurement system.

Task 4.3 Upgrade of existing software systems to support the concepts of the traceability chain and uncertainty.

Deliverable 4.1 A publication documenting the status quo of comparable, traceable radiometric measurements and defining the best practice.

Deliverable 4.2 Dissemination of practical examples of establishing traceability chains and uncertainty budgets.

Deliverable 4.3 Publications about upgraded software systems to support traceability and uncertainty.

Leading Team WG-4

 Dr Andreas Hueni (leader), Remote Sensing Laboratories, Dept. of Geography, University of Zurich, Switzerland, andreas.hueni@geo.uzh.ch

Andy has been working on the Airborne Prism Experiment (APEX) imaging spectrometer  project since 2007 and is currently a Research Associate with the Remote Sensing Laboratories, UZH, where he is leading the research on APEX sensor and data calibration. His research interests include the calibration of spectrometers, uncertainty analysis, and the design of combined database and software systems, such as the spectral database SPECCHIO.

 Dr Laura Mihai (vice-leader)

National Institute for Laser, Plasma and Radiation Physics, Centre for Advanced Laser Technology-CETAL, Photonic Investigations Laboratory (PhIL), Romania, laura.mihai@inflpr.ro

Laura is specialized in metrology of field spectrometers and optical fibre systems, with focus on development of laboratory-based characterization, optimization and calibration procedures for the spectroradiometry based on low- and high-resolution field spectrometers. She has a PhD in Physics, at Department of Physics of Atmosphere and Earth.

Dr Bruna Oliveira (vice-leader), University of Aveiro, Portugal, bruna.oliveira@ua.pt

Bruna works on the quantification of carbon budgets and fluxes after a wildfire in a pine forest in Central Portugal, linking eddy covariance, soil respiration and traditional soil sampling. Bruna has a BSc and MSc in Environmental Engineering and a PhD in Environmental Technology.

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