Deprivation pockets through the lens of convolutional neural networks

DOI

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.

Deprivation through deep learning

Date Submitted: 2020-09-03

Issued: 2017-05-31

Identifier
DOI https://doi.org/10.17026/dans-zbd-hfw7
Metadata Access https://phys-techsciences.datastations.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.17026/dans-zbd-hfw7
Provenance
Creator J Wang
Publisher DANS Data Station Phys-Tech Sciences
Contributor M Th Koelen; University of Amsterdam
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 image/tiff; text/xml; application/octet-stream; application/dbf; application/prj; application/sbn; application/sbx; application/shp; application/shx; application/zip
Size 268438300; 258414812; 312; 27333; 5; 1039; 5592; 24588; 680; 401; 1628; 268; 70844; 608; 1920; 1212; 23324
Version 1.0
Discipline Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Geography; Geosciences; Geospheric Sciences; Life Sciences; Natural Sciences; Social Sciences; Social and Behavioural Sciences; Soil Sciences