Data Provenance in Photogrammetry Through Documentation Protocols

Abstract

ABSTRACT:Documenting the relevant aspects in digitisation processes such as photogrammetry in order to provide a robust provenance for their products continues to present a challenge. The creation of a product that can be re-used scientifically requires a framework for consistent, standardised documentation of the entire digitisation pipeline. This article provides an analysis of the problems inherent to such goals and presents a series of protocols to document the various steps of a photogrammetric workflow. We propose this pipeline, with descriptors to track all phases of digital product creation in order to assure data provenance and enable the validation of the operations from an analytic and production perspective. The approach aims to support adopters of the workflow to define procedures with a long term perspective. The conceptual schema we present is founded on an analysis of information and actor exchanges in the digitisation process. The metadata were defined through the synthesis of previous proposals in this area and were tested on a case study. We performed the digitisation of a set of cultural heritage artefacts from an Iron Age burial in Ilmendorf, Germany. The objects were captured and processed using different techniques, including a comparison of different imaging tools and algorithms. This augmented the complexity of the process allowing us to test the flexibility of the schema for documenting complex scenarios. Although we have only presented a photogrammetry digitisation scenario, we claim that our schema is easily applicable to a multitude of 3D documentation processes.

Evaluating the efficacy of small‐scale marine protected areas for preserving reef health: A case study applying emerging monitoring technology

“…SfM is therefore perhaps best suited for small or medium-scale reef sites where there is a need to improve fine-detail quantitative reef structure data (greater than a basic visual assessment), particularly for lower-income countries due to the relatively low costs . But despite this technique being relatively straightforward to instigate, for any new technology to be successfully adopted and usefully applied by local managers with limited resources, some initial training in survey technique, processing and model analysis would be required, along with standardised protocols of how to apply this method over various habitat types and scales (Bergman et al, 2009;Carboni et al, 2016).…”