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Dakar land use map at street block level - MaRDI portal

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Dakar land use map at street block level

From MaRDI portal
(Redirected from Dataset:6680998)



DOI10.5281/zenodo.1291389Zenodo1291389MaRDI QIDQ6680998

Dataset published at Zenodo repository.

Author name not available (Why is that?)

Publication date: 16 June 2018

Copyright license: No records found.



Description

This datatset contains a land use classification of Dakar (Senegal) at the street block level. It was created following the methodology presented in[1]. Description of the files: Dakar_landuse_shapefile.zip : Shapefile of the street blocks extracted from OpenStreetMap using [2] with classification results in the attribute table. Dakar_landuse_style.zip : Files for style of the shapefile. Attribute table content: CAT, GID : ID of the street block PROB_ACS : Probability to belong to class ACS PROB_AGRI : Probability to belong to class AGRI PROB_BARE :Probability to belong to classBARE PROB_DEPR :Probability to belong to class DEPR PROB_PLAN :Probability to belong to class PLAN PROB_VEG :Probability to belong to class VEG FIRST_LABE : Class with the highest classification probability SEC_LABEL : Class with the second highest classification probability FIRST_PROB : Value of the highest classification probability SEC_PROB : Value of the second highest classification probability UNCERTAIN : Difference betweenFIRST_PROB andSEC_PROB BUILT_PERC : Percentage of the street blocks covered by built-up (from land cover map) MAP_LABEL : Final classification label with uncertainty and different density classes Legend classes label: AGRI : Agricultural vegetation VEG :Natural vegetation BARE:Bare soils ACS :Non-residential built-up (administrative, commercial, services, etc.) PLAN :Planned residential built-up PLAN_LD :Planned residential low density built-up DEPR : Deprived residential built-up UNCERT : Uncertain classification References: [1] Grippa, Tais, 2018, Mapping urban land use at street block level using OpenStreetMap, remote sensing data and spatial metrics,ISPRS Int. J. Geo-Inf.2018,7(7), 246.https://doi.org/10.3390/ijgi7070246 [2]Grippa, Tais. 2018. Osm Street Blocks Extraction. Zenodo. https://doi.org/10.5281/zenodo.1290637. Funding: This dataset wasproduced in the frame of two research project : MAUPP (http://maupp.ulb.ac.be)and REACT (http://react.ulb.be), funded by theBelgian Federal Science Policy Office (BELSPO).






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