Persistent Identifier
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doi:10.23708/PUYNSG |
Publication Date
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2023-11-10 |
Title
| Land use land cover ultra-high-spatial-resolution digital maps (5-cm) for 4 urban districts of the city of Bouaké (Air France, Belleville, Koko, Sossoribougou), center Côte d'Ivoire, 2020 |
Author
| Kouassi, Arsène Adou (Université Félix Houphouët-Boigny, Côte d'Ivoire) - ORCID: 0000-0002-6950-8756
Taconet, Paul (UMR MIVEGEC, Université de Montpellier, CNRS, IRD, Montpellier, France) - ORCID: 0000-0001-7429-7204
Koné, Aboubacar (Institut Pierre Richet, Côte d'Ivoire)
Koffi, Laurent Niamien (Institut Pierre Richet, Côte d'Ivoire)
Catry, Thibault (UMR Espace-DEV, IRD, University of Montpellier, Montpellier, France) - ORCID: 0000-0001-9514-1751
Marti, Renaud (UMR TETIS, UM, AgroParisTech, CIRAD, CNRS, INRAE, Montpellier, France) - ORCID: 0000-0002-8382-7008
Dessay, Nadine (UMR Espace-DEV, IRD, University of Montpellier, Montpellier, France) - ORCID: 0000-0003-0526-3531
Delaitre, Eric (UMR Espace-DEV, IRD, University of Montpellier, Montpellier, France) - ORCID: 0000-0002-7636-7744
Fournet, Florence (UMR MIVEGEC, Université de Montpellier, CNRS, IRD, Montpellier, France) - ORCID: 0000-0003-0220-8131 |
Point of Contact
|
Use email button above to contact.
Taconet, Paul (UMR MIVEGEC, Université de Montpellier, CNRS, IRD, Montpellier, France)
Kouassi, Arsène Adou (Université Félix Houphouët-Boigny, Côte d'Ivoire) |
Description
| This dataset provides ultra-high-spatial-resolution Land Use / Land Cover (LULC) digital maps of 4 urban districts of Bouaké, a city located in center Côte d’Ivoire (Ivory Coast). They were produced using images acquired by Unmanned Aerial Vehicles (UAVs) in 2020 at a spatial resolution of 5 cm. They were originally created to study the landscape determinants of the abundance of the main malaria mosquito species in these districts, and are made available here for a wide range of uses.
These LULC products contain 8 land cover classes: bare soil, scrub, rice-growing surfaces, market gardening, dense deciduous trees, palm trees, completed buildings, unfinished buildings.
The method used to generate the maps involved a supervised object-based image classification using aerial images acquired by an UAV, a ground-truth dataset acquired by photo-interpretation, and a random forest classifier. The classification accuracy varies from 91% to 94% depending on the district.
In addition to the LULC georeferenced raster datasets of the four districts, we deliver 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 LULC georeferenced raster datasets in QGIS ;
- a map of the LULC products as a .jpeg image (for visualization purposes only) ;
- a map of the original orthophotos acquired by the UAV 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 matrices (in English and French) ;
- the ground-truth georeferenced datasets used for training and test in the classification (including the predictive variables).
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Subject
| Computer and Information Science; Earth and Environmental Sciences |
Keyword
| Land use
Land cover
Côte d'Ivoire
Bouaké
Object-based image analysis
Supervised classification
Ultra high spatial resolution
Remote sensing
Unmanned Aerial Vehicles |
Scientific Theme
| Cartography (NumeriSud) https://uri.ird.fr/so/kos/tnu/128
Remote sensing (NumeriSud) https://uri.ird.fr/so/kos/tnu/126
Computer sciences (NumeriSud) https://uri.ird.fr/so/kos/tnu/122 |
Notes
| These datasets were produced in the frame of the COheSIoN project (ANR-17-CE22-0007) as part of the PhD thesis work of Arsène Adou KOUASSI. |
Language
| English; French |
Production Date
| 2020-08-01 |
Production Location
| Bouaké, Côte d'Ivoire and Bobo Dioulasso, Burkina Faso |
Funding Information
| Agence Nationale de la Recherche (France): ANR-17-CE22-0007 |
Depositor
| Taconet, Paul |
Deposit Date
| 2023-10-30 |
Time Period
| Start Date: 2020-05-01 ; End Date: 2020-06-01 |
Date of Collection
| Start Date: 2020-05-01 ; End Date: 2020-06-01 |
Software
| R, Version: 3.5.2
QGIS
SAGA GIS
GRASS GIS
Orpheo Toolbox |