Change detection image dataset for unplanned settlement in Rwanda

DOI

Unmanned Aerial Vehicle imagery from 2015 and 2017 over an unplanned settlement in Kigali, Rwanda. These images were used for the change detection studies published in the article:Gevaert, C. M., Persello, C., Sliuzas, R. V., & Vosselman, G. (2020). Monitoring household upgrading in unplanned settlements with unmanned aerial vehicles. International Journal of Applied Earth Observation and Geoinformation (JAG), 90, 1-6. [102117]. https://doi.org/10.1016/j.jag.2020.102117

Identifier
DOI https://doi.org/10.17026/dans-26k-5t9b
Metadata Access https://ssh.datastations.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.17026/dans-26k-5t9b
Provenance
Creator C.M. Gevaert ORCID logo
Publisher DANS Data Station Social Sciences and Humanities
Contributor M Th Koelen
Publication Year 2020
Rights DANS Licence; info:eu-repo/semantics/restrictedAccess; https://doi.org/10.17026/fp39-0x58
OpenAccess false
Contact M Th Koelen (Faculty of Geo-Information Science and Earth Observation)
Representation
Resource Type Dataset
Format application/octet-stream; image/tiff; text/xml; application/dbf; application/zip
Size 222; 517518785; 517676686; 3064; 1654879; 388158779; 4546; 112188098; 517676748; 1593005; 1264; 102542986; 90; 262537075; 1481; 89446756; 5; 368; 23968
Version 1.0
Discipline Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Life Sciences; Social Sciences; Social and Behavioural Sciences; Soil Sciences