Moritz Lennert
Biographic Data
| ID | 5773371 |
|---|---|
| NAME | Moritz Lennert |
| GIVEN NAMES | Moritz |
| FAMILY NAME | Lennert |
| SIGNATURE | LENNERT M |
| AFFILIATIONS | Université Libre de Bruxelles |
| ORCID | 0000-0002-2870-4515 |
| VERIFIED | Yes |
| TOTAL WORKS | 11 |
| TOTAL CITATIONS | 26 |
| AUTHOR COUNT | 11 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2005 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 3 |
Geographical random forests
Machine learning algorithms such as Random Forest (RF) are being increasingly applied on traditionally geographical topics such as population estimation. Even though RF is a well performing and generalizable algorithm, the vast majority of its implementations is still ‘aspatial’ and may not address spatial heterogenous processes. At the same time, remote sensing (RS) data which are commonly used to model population can be highly spatially heterog…
Domain Adaptation for Semantic Segmentation of Historical Panchromatic Orthomosaics in Central Africa
Multitemporal environmental and urban studies are essential to guide policy making to ultimately improve human wellbeing in the Global South. Land-cover products derived from historical aerial orthomosaics acquired decades ago can provide important evidence to inform long-term studies. To reduce the manual labelling effort by human experts and to scale to large, meaningful regions, we investigate in this study how domain adaptation techniques and…
Spatio-temporal location of population
Towards user-driven earth observation-based slum mapping
Earth observation (EO) capabilities to produce up-to-date geographical information on slums over large areas supporting urban planning and evidence-based policymaking are largely acknowledged. Most EO studies typically use a data-driven approach without an understanding of end-user requirements. This study addresses this gap by aligning EO methods with societal needs and concerns using a user-driven approach in Accra, Ghana. By carrying out in-si…
Historical dynamics of landslide risk from population and forest-cover changes in the Kivu Rift
Can we use local climate zones for predicting malaria prevalence across sub-Saharan African cities
Malaria burden is increasing in sub-Saharan cities because of rapid and uncontrolled urbanization. Yet very few studies have studied the interactions between urban environments and malaria. Additionally, no standardized urban land-use/land-cover has been defined for urban malaria studies. Here, we demonstrate the potential of local climate zones (LCZs) for modeling malaria prevalence rate ( Pf PR 2-10 ) and studying malaria prevalence in urban se…
An analysis of the determinants of air traffic volume for European metropolitan areas
Two scenarios for Europe
The territorial futures of Europe
Inégalités écologiques
L’objectif de l’article est d’explorer les méthodes pour présenter les inégalités écologiques sur un territoire donné. Nous commençons par définir les inégalités écologiques afin de rendre cette notion opératoire pour des traitements statistiques et cartographiques. Nous interprétons les inégalités écologiques en deux sens : inégalités face aux pollutions et aux dégradations de l’environnement, et inégalités en termes d’impacts sur l’environnemen…
Local Geographies of Global Players
Literature on world cities has repeatedly argued that major agents of globalization, i.e. 'global players' such as advanced producer service firms, transnational corporations and international organisations, play a determining role in interlocking cities into networks of control centres of the contemporary world economy. It is very rare however that analyses cover the spatial distribution of these global players within urban settings. We argue he…
An analysis of the determinants of air traffic volume for European metropolitan areas
Two scenarios for Europe
Local Geographies of Global Players
Literature on world cities has repeatedly argued that major agents of globalization, i.e. 'global players' such as advanced producer service firms, transnational corporations and international organisations, play a determining role in interlocking cities into networks of control centres of the contemporary world economy. It is very rare however that analyses cover the spatial distribution of these global players within urban settings. We argue he…
The territorial futures of Europe
Historical dynamics of landslide risk from population and forest-cover changes in the Kivu Rift
Local Geographies of Global Players
Literature on world cities has repeatedly argued that major agents of globalization, i.e. 'global players' such as advanced producer service firms, transnational corporations and international organisations, play a determining role in interlocking cities into networks of control centres of the contemporary world economy. It is very rare however that analyses cover the spatial distribution of these global players within urban settings. We argue he…
Inégalités écologiques
L’objectif de l’article est d’explorer les méthodes pour présenter les inégalités écologiques sur un territoire donné. Nous commençons par définir les inégalités écologiques afin de rendre cette notion opératoire pour des traitements statistiques et cartographiques. Nous interprétons les inégalités écologiques en deux sens : inégalités face aux pollutions et aux dégradations de l’environnement, et inégalités en termes d’impacts sur l’environnemen…
An analysis of the determinants of air traffic volume for European metropolitan areas
Two scenarios for Europe
The territorial futures of Europe
Can we use local climate zones for predicting malaria prevalence across sub-Saharan African cities
Malaria burden is increasing in sub-Saharan cities because of rapid and uncontrolled urbanization. Yet very few studies have studied the interactions between urban environments and malaria. Additionally, no standardized urban land-use/land-cover has been defined for urban malaria studies. Here, we demonstrate the potential of local climate zones (LCZs) for modeling malaria prevalence rate ( Pf PR 2-10 ) and studying malaria prevalence in urban se…
Geographical random forests
Machine learning algorithms such as Random Forest (RF) are being increasingly applied on traditionally geographical topics such as population estimation. Even though RF is a well performing and generalizable algorithm, the vast majority of its implementations is still ‘aspatial’ and may not address spatial heterogenous processes. At the same time, remote sensing (RS) data which are commonly used to model population can be highly spatially heterog…
Domain Adaptation for Semantic Segmentation of Historical Panchromatic Orthomosaics in Central Africa
Multitemporal environmental and urban studies are essential to guide policy making to ultimately improve human wellbeing in the Global South. Land-cover products derived from historical aerial orthomosaics acquired decades ago can provide important evidence to inform long-term studies. To reduce the manual labelling effort by human experts and to scale to large, meaningful regions, we investigate in this study how domain adaptation techniques and…
Spatio-temporal location of population
Towards user-driven earth observation-based slum mapping
Earth observation (EO) capabilities to produce up-to-date geographical information on slums over large areas supporting urban planning and evidence-based policymaking are largely acknowledged. Most EO studies typically use a data-driven approach without an understanding of end-user requirements. This study addresses this gap by aligning EO methods with societal needs and concerns using a user-driven approach in Accra, Ghana. By carrying out in-si…
Historical dynamics of landslide risk from population and forest-cover changes in the Kivu Rift
Geography (10 works) · Computer Science (4 works) · Economics (4 works) · Economy (4 works) · Political science (4 works) · Business (3 works) · Cartography (3 works) · Ecology (3 works) · Economic geography (3 works) · Engineering (3 works)