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Data · dataset · 2024

Land use land cover very high resolution map (1.5-m) for the area of Diébougou, Burkina Faso, 2018

Listed in DataSuds

This dataset is a very-high spatial resolution Land Use / Land Cover (LULC) map of the region of Diébougou, located in southwestern Burkina Faso.

Description

Its spatial resolution is 1.5 m. It was produced in 2018 and made available for a wide range of uses.

It contains 12 land cover classes: ligneous savanna, crop, grassland, marsh, riparian forest, woodland, rice, settlements, bare soil, main roads, permanent water bodies and running waters. The method used to generate the map involved a supervised object-based image classification using multisource satellite products (SPOT 7, Sentinel-2, a Digital Elevation Model), a ground-truth dataset acquired by fieldwork and photo-interpretation, and a random forest classifier.

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The classification accuracy is 84 %. In addition to the LULC georeferenced raster data, we propose the following files in this release: the raster attribute table, including definitions of the land cover classes in english and french ; a layer style (*.qml) to visualize the raster in QGIS ; the map as a .jpeg image (for visualization purposes only) ; representative pictures of the land cover classes ; the detailed methodology used to generate the data, with the resulting confusion matrix (in English and French) ; the ground-truth georeferenced dataset used for training and test in the classification ; the R script used to create the product, based exclusively on Free and Open Source software.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Image 75% · Tabular 65%
Provenance · 1 source records, 13 field assertions
SourceKeyLast seenRaw
DataSudsdoi:10.23708/ARSJNB10 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].anzsrc:field:401304mapping · dataverse ird frvocabulary-mapper@1.0.0keywords['remote sensing']
concepts[field].dataverse_subject:computer-and-information-sciencesource · dataverse ird frconnector:dataverse_ird_fr@1.0.0/subjects
concepts[field].dataverse_subject:earth-and-environmental-sciencessource · dataverse ird frconnector:dataverse_ird_fr@1.0.0/subjects
concepts[field].local:field:earth-environmentalmapping · dataverse ird frconnector:dataverse_ird_fr@1.0.0/subjects
concepts[modality].local:modality:imageenrichment · dataverse ird frkeyword-concept-rules@1.0.0title+description (75%)
concepts[modality].local:modality:remote-sensingmapping · dataverse ird frvocabulary-mapper@1.0.0keywords['remote sensing']
concepts[modality].local:modality:tabularenrichment · dataverse ird frkeyword-concept-rules@1.0.0title+description (65%)
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