Land Cover and Land Use within southern Ghana was classified for c. 2000 and c 2010 using semi-automated techniques with dense time stacks of Landsat 7 ETM+ imagery and limited manual digitizing for two classes (commercial agriculture and mining). These data were created in order to understand the regional impacts of rural-to-urban migration in driving LCLU change. Temporal image composite products used as inputs to the semi-automated image classification process are also available. Any questions may be directed to Lloyd (Pete) Coulter at lcoulter@mail.sdsu.edu.
Spatial Coverage: Southern Ghana
Temporal Coverage: c. 2000 (1999-2003) and c. 2010 (2009-2013)
Resolution: 30 m
Projection: UTM Zone 30, WGS84
Data Type: Unsigned 4-bit Integer
Data Format: ERDAS Imagine (.img)
Coulter, L.L., Stow, D.A., Tsai, Y.H., Ibanez, N., Shih, H.C., Kerr, A., Benza, M., Weeks, J.R., & Mensah, F. (submitted). Classification and assessment of land cover and land use change in southern Ghana using dense stacks of Landsat 7 ETM+ imagery. Remote Sensing of Environment.
Priniciple Investigator: Douglas Stow
Project Information
| PROJECT NAME | Principal Investigator | INSTITUTION |
|---|---|---|
| The Urban Transition in Ghana and Its Relation to Land Cover and Land Use Change Through Analysis of Multi-Scale and Multi-Temporal Satellite Image Data | Douglas Stow | San Diego State University |