Training Data used in Cloud Computation Using High-Resolution Images for Improving the Sdg Indicator on Open Spaces

This dataset contains the training, validation and testing samples used during the research reported in Cloud Computation Using High-Resolution Images for Improving the Sdg Indicator on Open Spaces. DOI: 10.3390/rs12071144

Identifier
DOI https://doi.org/10.17026/dans-xum-j8yj
PID https://nbn-resolving.org/urn:nbn:nl:ui:13-px-gnje
Source https://nbn-resolving.org/urn:nbn:nl:ui:13-px-gnje
Related Identifier https://doi.org/10.3390/rs12071144
Metadata Access https://easy.dans.knaw.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:easy.dans.knaw.nl:easy-dataset:163060
Provenance
Creator Aguilar, ROSA (Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente)
Publisher Data Archiving and Networked Services (DANS)
Contributor Aguilar, ROSA; Rosa Aguilar (Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente)
Publication Year 2020
Rights info:eu-repo/semantics/openAccess; License: http://creativecommons.org/licenses/by-nc-sa/4.0/
OpenAccess true
Representation
Language English
Resource Type Dataset
Format text/plain; application/x-cmdi+xml
Discipline Various
Spatial Coverage Kampala