Primary tabs

Other Access

The information on this page (the dataset metadata) is also available in these formats.

JSON RDF

via the DKAN API

Land Cover of West Africa, 250m resolution, 2006

Topics: 
Description: 

Land use/cover classification of West Africa based on multi-sensor earth observation data.

The regional land cover/use map for West Africa has a spatial resolution of 250 m. It is based on earth observation data from three optical and radar sensors. Annual time series of the optical Moderate Resolution Imaging Spectroradiometer (MODIS) are used for discriminating semi-natural vegetation classes and agricultural classes. Envisat Advanced Synthetic Aperture Radar (ASAR) Wide Swath (WS) time series, in combination with MODIS data, are used for delineating permanent and seasonal water bodies. Built-up areas of two density classes are mapped based on radar imagery collected by the satellites TanDEM-X and TerraSAR-X. The accuracy assessment of the multi-sensor land cover map yields an overall accuracy of 80% at legend level 1 (9 classes) and 73% at the more detailed legend level 2 (14 classes).

For further details on the mapping approach and a discussion of strengths and limitations on the approach and dataset, we refer to the following publication:

Gessner, Ursula; Machwitz, Miriam; Esch, Thomas; Tillack, Adina; Naeimi, Vahid; Kuenzer, Claudia; Dech, Stefan (2015): Multi-sensor mapping of West African land cover using MODIS, ASAR and TanDEM-X/TerraSAR-X data. Remote Sensing of Environment, accepted.

Data and Resources

FieldValue
Modified
2024-03-04
Release Date
2019-10-14
Identifier
0e37cf09-ed96-449e-8237-582f0ffadee1
Covered Regions/Countries
Data Rights and Credits
Data Rights
Author
Ursula Gessner
Public Access Level
Restricted
Rights
Formal permission to do something
License
Data Citation
Citation of the Originator Gessner, U. (2015): Land Cover of West Africa, 250m resolution, 2006. https://wascal-dataportal.org/geonetwork/apps/search/?uuid=45dab4ab-0269-4211-99aa-bef2a5516896
Data Credits to Individuals
Data Steward
Data Custodian
Data Disseminator
Data Scientist
Data Manager
Data Credits to Organisations
Data Provider
Data Publisher
Data Funder
Data Owner