Promotor:Perneel, Christiaan
Involved staff: Christiaan PERNEEL, Michal SHIMONI, Yann FORGET,
Start date:01 Oct 2014
Duration:48 months
Research unit:Hyperspectral Imaging



MAUPP aims to improve our spatial understanding, prediction and forecast of urbanization and urban population in Africa through the use of remote sensing and spatial modelling. The project addresses two specific objectives:

- Produce an urban expansion model at moderate spatial resolution for African cities. This objective will be achieved through i) using HRRS and VHRRS (both optical and radar) to delineate urban extent of a set of cities, compare the accuracy and limitations of the obtained features and optimize the method based on HRRS, ii) using of the best methods identified using HRRS to generate a database of land cover change to urban over the last 30 years across a large number of cities in Africa, iii) using this database to build urban expansion models, evaluate their forecasting accuracy, and apply them to forecast the future distribution of the major urban extents in Africa.

- Understand and predict intra-urban variations in human population density in Afr