its4land UAV data acqusition workflows

DOI

The dataset includes UAV images, spatial data as well as qualitative data of my PhD research aiming to analyze UAV-based workflows for cadastral mapping. Data has been collected at different fieldwork locations in Rwanda, Kenya and Zanzibar as well as at two locations in Germany and in the Netherlands. Several UAV test flights were carried out with different flight configurations (various sensors, flight heights, image overlap, land use contexts). These UAV files include (raw) aerial images, ground control measurements and the final orthomosaic. To support the findings, additional qualitative data was collected. This covers results of a participatory mapping campaign in Rwanda (2019), results of an interactive workshop in Kenya (2018) as well as transcripts of expert interviews (2020/2021). The data have been published in several research articles and conference proceedings.

Valid: 2021-05-14

Identifier
DOI https://doi.org/10.17026/DANS-XHZ-UQCT
Metadata Access https://datacatalogue.cessda.eu/oai-pmh/v0/oai?verb=GetRecord&metadataPrefix=oai_ddi25&identifier=84ff4882f527b20dac6393da4bf604a36d2acf740a4437bf89bb81c6bca49160
Provenance
Creator EC Stöcker
Publisher DANS Data Station Social Sciences and Humanities; Claudia Stöcker
Publication Year 2021
OpenAccess true
Representation
Discipline Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Life Sciences; Social Sciences; Social and Behavioural Sciences; Soil Sciences