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Garamba Key Landscape for Conservation Land Cover and Validation Datasets (2000-2017-2019)

Domaine:

geospatialenvironment and energy

Type de record:

dataset
Créateur:
Szantoi, ZoltanBrink, AndreasLupi, Andrea
Éditeur:
Zenodo
Hôte:avatar

The Garamba land cover and change dataset covers an area of 265 976km2 and mapped with dichotomous (8 land cover classes) and modular (up to 32 land cover classes) levels based on FAO's Land Cover Classification System (LCCS). High-resolution optical satellite imagery were used to generate dense time-series data from which the thematic land cover and change maps were derived (LC: 2017, LCC: 2000, 2019). The maps were fully verified and validated by an independent team to achieve the Copernicus Global Land Monitoring Programme's strict data quality requirements. An independent validation dataset was also collected and it is shared here. The validation dataset contains 7168 (2000-2017) and 4647 (2017-2019) verified land cover points based on the [up to] 32 modular (2000-2017) and [up to] 14 aggregated (2017-2019) level land cover classes. Furthermore, two predefined symbology (QGIS legend files) for the land cover and validation datasets based on FAO's LCCS is also shared here to ease the visualization of them (Dichotomous and Modular levels). Further details regarding the sites selection, mapping and validation procedures are described in the corresponding publication: Szantoi, Zoltan; Brink, Andreas; Lupi, Andrea (2021): An update and beyond: key landscapes for conservation land cover and change monitoring, thematic and validation datasets for the African, Caribbean and Pacific region (in review, Earth System Science Data).

Data format: vector (shapefile, polygon - LC/LCC dataset), vector (shapefile, point - validation dataset),
Geographic Coordinate System (LC/LCC dataset): World Geodetic System 1984 (EPSG:4326) and its datum (EPSG:6326),
Minimum mapping unit: 3ha for land cover and 0.5ha for land cover change
Land cover/change dataset attributes:
[map_codeA] - dichotomous level,
[map_code} - modular level,
[class_name] - corresponding modular class name.
Validation dataset attributes (not all are present):
[plaus200X] - corresponding class for the change map (i.e. 2000), modular level
[plaus200Xr] - corresponding class for the change map (i.e. 2000), aggregated classes
[plaus20XX] - corresponding class for the land cover map (i.e. 2017), modular level
[plaus20XXr] - corresponding class for the land cover map (i.e. 2017), aggregated classes
The naming of all attributes follow the same structure in all shapefiles - see Table 2 Dichotomous and Modular thematic land cover/use classes and in the "3.5 Validation dataset production" section in the corresponding publication.

Visit

doi.org

Tasks

computer visionimage classification

Tags

Land cover changeremote sensingGarambavalidation data

Licenses

info:eu-repo/semantics/openAccessCreative Commons Attribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/legalcode