Constarium
← Search

Data · dataset · 2023

Land use land cover high resolution map (10 m) for the area of Tori-Bossito, Benin, 2010-2011

Listed in DataSuds

This dataset is a high spatial resolution Land Use / Land Cover (LULC) map of the region of Tori-Bossito, southern Benin.

Description

Its spatial resolution is 10 m. It was produced in 2011 and made available for a wide range of uses.

It has been produced to study the environmental determinants of the presence and abundance of three malaria mosquito species. It contains 14 land cover classes: Freshwater, Herbswamp, Aquatic grassland, Coco tree, Eucalyptus tree, Thicket, Palm tree, Savanna, Teak tree, Pineapple, Degraded riparian forest, Degraded surfaces, Rain-fed agriculture, Forest. The method used to generate the map involved a supervised object-based image classification using mono- and multi-spectral SPOT 5 satellite products from 2010, ground-truth data (> 200 plots) acquired by fieldwork (2010-2011), and nearest-neighbor classifier.

Read the rest (1 more)

The classification accuracy was 98%. In addition to the LULC georeferenced raster data, we propose the following files in this release: the raster attribute table, as an .ods (libreoffice) file, including names and definitions of the land cover classes in both English and French ; a QGIS layer style file (.qml) for visualizing the raster in QGIS ; two color map files (.clr) (English and French) to be used in a variety of GIS software. the map as a .png miniature image ; representative pictures of the land cover classes ; The methodology used to generate the data was detailed in french in Moiroux 2012 (theses.hal.science/tel-00812118, p. 79-85 ) and in English, in a more concise way in Moiroux et al. 2013 ( doi.org/10.1186/1756-3305-6-71).

Links

Where it is published

Catalogue records · 1

Topics

Inferred from text
Image 75% · Tabular 65%
Provenance · 1 source records, 15 field assertions
SourceKeyLast seenRaw
DataSudsdoi:10.23708/U6WTLE11 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].dataverse_subject:agricultural-sciencessource · dataverse ird frconnector:dataverse_ird_fr@1.0.0/subjects
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].dataverse_subject:medicine-health-and-life-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[field].local:field:life-sciencesmapping · dataverse ird frconnector:dataverse_ird_fr@1.0.0/subjects
concepts[field].local:field:medicine-healthmapping · 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:tabularenrichment · dataverse ird frkeyword-concept-rules@1.0.0title+description (65%)
created_datesource · dataverse ird frconnector:dataverse_ird_fr@1.0.0
descriptionsource · dataverse ird frconnector:dataverse_ird_fr@1.0.0/description
publication_datesource · dataverse ird frconnector:dataverse_ird_fr@1.0.0
titlesource · dataverse ird frconnector:dataverse_ird_fr@1.0.0/name
updated_datesource · dataverse ird frconnector:dataverse_ird_fr@1.0.0
version_labelsource · dataverse ird frconnector:dataverse_ird_fr@1.0.0