Deprivation pockets through the lens of convolutional neural networks Deprivation through deep learning

This dataset contains data used for training and validating deep learning models used in the paper: Wang, J., Kuffer, M., Roy, D. and Pfeffer, K., 2019. Deprivation pockets through the lens of convolutional neural networks. Remote sensing of environment, 234, p.111448.

Identifier
DOI https://doi.org/10.17026/dans-zbd-hfw7
PID https://nbn-resolving.org/urn:nbn:nl:ui:13-j9-i2qh
Source https://nbn-resolving.org/urn:nbn:nl:ui:13-j9-i2qh
Related Identifier https://doi.org/10.1016/j.rse.2019.111448
Related Identifier https://www.sciencedirect.com/science/article/pii/S0034425719304675?via%3Dihub
Metadata Access https://easy.dans.knaw.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:easy.dans.knaw.nl:easy-dataset:183193
Provenance
Creator Wang, J (Faculty of Geo-Information Science and Earth Observation (ITC). University of Twente)
Publisher University of Amsterdam
Contributor Lees, M; Dr. M Lees (University of Amsterdam)
Publication Year 2020
Rights info:eu-repo/semantics/restrictedAccess; License: http://dans.knaw.nl/en/about/organisation-and-policy/legal-information/DANSLicence.pdf
OpenAccess false
Representation
Language English
Resource Type Dataset
Format image/tiff; ESRI ArcGIS shapefile
Discipline Geography
Spatial Coverage (12.972 LON, 77.595 LAT); Bangalore, India