Sampling with GPS-enabled smartphone and DII
Between 2015 and 2017 a team of researchers involved in the projects MOD-CO and GFBio worked on a best practice workflow for field ecologists. The aim was to enable researchers for effective sampling environmental vouchers with digital documentation of essential parameters already during the field campaign. The workflow established together with co-workers from Kenya and Algeria included the sampling with GPS-enabled smartphone and the set up of a generic, effective procedure which is basically independent from any data management solution or specific collection management system. The DWB team was involved in the design and implementation of the new data processing tool DiversityImageInspector (DII) which finally is generating CSV tables.
The workflow described in Triebel et al. (2018) has 5 steps. The core elements of step 1 to 4 are visualised by the figures 1-5. Fig. 2 Fig. 3 Fig. 4
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The pages linked here give supplementary information on
- Sample datasets with csv table are deposited under https://github.com/SNSB/DWB-Contrib/tree/master/DiversityCollection/Import/Schemas/DiversityImageInspector (to be improuved). This file (with import schema applied)is appropriate to be imported in DC.
- Figures 1 to Figures 8 describes a use case in Kenya, Ruma
Reference:
- Triebel, D., Reichert, W., Bosert, S., Feulner, M., Osieko Okach, D., Slimani, A. & Rambold, G. 2018. A generic workflow for effective sampling of environmental vouchers with UUID assignment and image processing. – Database, 2018 (Article ID bax096), 1–10. (doi.org/10.1093/database/bax096), see https://academic.oup.com/database/article-abstract/doi/10.1093/database/bax096/4797113.
