Unmanned Aerial System Imagery, Land Data and User Needs: A Socio-Technical Assessment in Rwanda

The dataset includes spatial as well as qualitative data of a socio-technical study in Rwanda, aiming to determine the match between stakeholders’ needs and the characteristics of the UAS data acquisition workflow and its final products as valuable spatial data for land administration and spatial planning. A needs assessment enabled the expression of a range of land information needs across multiple levels and stakeholder sectors. Next to the social study, three different UAS were flown to test not only the quality of data but the possibilities of the use of this technology within the current institutional environment. The research concludes that UAS can have a significant contribution to match most of the prioritized needs in Rwanda. However, the results also reveal that structural and capacity conditions currently undermine this potential.

Paper: Stöcker, C.; Ho, S.; Nkerabigwi, P.; Schmidt, C.; Koeva, M.; Bennett, R.; Zevenbergen, J. Unmanned Aerial System Imagery, Land Data and User Needs: A Socio-Technical Assessment in Rwanda. Remote Sens. 2019, 11, 1035.https://www.mdpi.com/2072-4292/11/9/1035

Identifier
DOI https://doi.org/10.17026/dans-zbj-gy34
PID https://nbn-resolving.org/urn:nbn:nl:ui:13-sk-t026
Related Identifier https://its4land.com
Metadata Access https://easy.dans.knaw.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:easy.dans.knaw.nl:easy-dataset:160930
Provenance
Creator Stöcker, EC ORCID logo
Publisher Data Archiving and Networked Services (DANS)
Contributor Ho, S; Nkerabigwi, P; Schmidt, C; Koeva, MN; Bennett, RM; Zevenbergen, JA; Stöcker, EC; MSc EC Stöcker (Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente)
Publication Year 2020
Rights info:eu-repo/semantics/restrictedAccess; License: http://dans.knaw.nl/en/about/organisation-and-policy/legal-information/DANSLicence.pdf; http://dans.knaw.nl/en/about/organisation-and-policy/legal-information/DANSLicence.pdf
OpenAccess false
Representation
Language English
Resource Type Dataset
Format image/tiff
Discipline Geography; Geosciences; Geospheric Sciences; Natural Sciences
Spatial Coverage (29.636W, -1.502S, 29.650E, -1.496N); Rwanda