Context for Reproducibility and Replicability in Geospatial Unmanned Aircraft Systems

Multiple scientific disciplines face a so-called crisis of reproducibility and replicability (R&R) in which the validity methodologies is questioned due to an inability confirm experimental results. Trust information technology (IT)-intensive workflows within geographic science (GIScience), remote sensing, photogrammetry depends on solutions R&R challenges affecting multiple computationally driven disciplines. To date, there have only been very limited efforts overcome R&R-related issues sensing general, let alone those tied unmanned aircraft systems (UAS) as disruptive technology. This review identifies key barriers to, suggests best practices for, geospatial UAS well broader applications. We examine both relevance existing support for assisted workflows. Key include: (1) awareness time resource requirements, (2) accessibility provenance, metadata, version control, (3) conceptualization problems, (4) variability between study areas. applications can be facilitated through augmented access provenance authorized stakeholders, establishment important aspect related research design. Where ethically possible, future work should exemplify by publishing open data sets Future also explore new avenues source data, methods adapt principles according stakeholder requirements.