The MAUPP project (Modelling and forecasting African Urban Population Patterns for vulnerability and health assessments) is a four-year research project (2014-2018) funded by the STEREO-III program of the Belgian Science Policy (BELSPO).
The main objective of MAUPP is to develop models and forecasts to improve our knowledge of sub-Saharan African urban population patterns for a wider usage of urban population distribution datasets in vulnerability and health assessments. The MAUPP project aims to contribute to the WorldPop open access archive of spatial demographic datasets.
Built-up and population maps at moderate spatial resolution (12.5m) will be produced for 48 african cities and for five distinct years: 1995, 2000, 2005, 2010 and 2015. Very high spatial resolution built-up and population maps will also be produced for 3 cities: Ouagadougou (Burkina Faso), Dakar (Senegal) and Saint-Louis (Senegal).
On April 26 2018, by Catherine Linard
The MAUPP team will be present at the IGARSS conference in Valencia, July 22-27, 2018. Two papers were accepted for oral presentation in the session “Big Earth Data for Global Scale Applications II”: Forget, Y., Shimoni, M., Lopez, J-F., Linard, C., Gilbert, M. “Fusion Scheme for Automatic and Large-Scaled Built-up Mapping”. Steele, J.E., Nieves, J., Tatem, A.J., Forget, Y., Shimoni, M., Linard, C. “WorldPop - Fusion of Earth and Big Data for Intraurban Population Mapping”. Read more...
On October 15 2017, by Catherine Linard
New MAUPP paper on a local segmentation parameter optimization approach: A local segmentation parameter optimization approach for mapping heterogeneous urban environments using VHR imagery Taïs Grippa, Stefanos Georganos, Moritz Lennert, Sabine Vanhuysse and Eléonore Wolff In SPIE Remote Sensing, Warsaw, 2017. Read more...
Workshop at ICUH 2017
On October 05 2017, by Catherine Linard
The MAUPP team organized a pre-conference workshop at the International Conference on Urban Health (ICUH 2017) in Coimbra, Portugal in September 2017. The workshop entitled “Human population patterns in sub-Saharan African cities: data and tools for urban health assessments” aimed to demonstrate the potentialities of newly developed data and methods in the field of urban population mapping and modelling for urban health decision making. Our broader objective was to meet potential users of our datasets in order to better design them to user needs and understand user learning requirements to inform our capacity building activities. Read more...