Analyse Géospatiale (ANAGEO)

ANAGEO (Laboratoire d'analyses Géospatiales) is one of the five research units of IGEAT, led by Prof. Eléonore Wolff. ANAGEO carries out research in the field of man-environment interaction, with a special focus on the study of land use/land cover, its evolution and its determinants, using remote sensing and geospatial analysis. The group has a strong background in deriving geoinformation from satellite and airborne remote sensing imagery - notably through extensive expertise in GIS-based modelling and Object-Based Image Analysis (OBIA) for large-scaled applications entailing big data management. More recently, the group started working and developing deep Convolutional Neural Networks (CNN) for different remote sensing applications. It has been involved in several pluri-disciplinary international projects as coordinator or WP leader.

The research topics that are addressed by ANAGEO revolve mainly around the following themes: monitoring of urban areas in space and time, land planning, natural resources management, population estimation, spatial epidemiology, and humanitarian action (including Mine Action).

ANAGEO has a long experience in VHRRS and HRRS remote sensing and spatial analysis of urban areas in Europe and in developing countries, more particularly in Sub-Saharan Africa.

• Adalbert Muhindo Syavulisembo, La variation spatio-temporelle de la population et l'analyse de l'accessibilité à ses ressources vitales: Vers une meilleure gestion du risque volcanique à Goma, République démocratique du Congo, 2019 link
• Taïs Grippa, Very‑high resolution earth observation data and open‑source solutions for mapping urban areas in sub-Saharan Africa: Implementation of an operational framework for production of geoinformation. Application on Ouagadougou (Burkina Faso) and Dakar (Senegal), 2019 link
• Moritz Lennert, The Use of Individual Firm Databases to Respond to the Limits of Spatially Aggregated Databases : The Case of the Estimation of Regional Exports, 2018 link
• Michellier Caroline, Contribution to geo-risk prevention: population vulnerability assessment in a data scarcity context. Case studies of Goma and Bukavu cities (RD Congo), 2017
• Zaneta Kaszta, Using remotely-sensed habitat data to model space use and disease transmission risk between wild and domestic herbivores in the African savanna, 2017 link
• David Dupuis, La place des paysanneries dans la colonisation agricole du Nord-Ouest du Cambodge: les paysanneries, l'Etat et le contrôle de l'accès à la terre, 2014 link
• Matthieu Kayembe Wa Kayembe, Les dimensions socio-spatiales de l'érosion ravinante intra-urbaine dans une ville tropicale humide: le cas de Kinshasa (R.D. Congo), 2012 link
• Carleer Alexandre, Region-based classification potential for land-cover classification with very high spatial resolution satellite data, 2006 link
• Van den Steen Isabelle, Cartographie, évolution et modélisation de l'utilisation du sol en milieu urbain : le cas de Bruxelles, 2005 link
• Dubois Olivier, La construction résidentielle en Wallonie : analyse spatiale multiscalaire et logiques socio-économiques de localisation, 2001