Monrovia, Liberia

The city of Monrovia is a peninsular area of land bounded by the Atlantic Ocean to the south and the narrow Mesurado and Saint Paul rivers to the north. This river opens north of Monrovia’s largest slum, West Point, home to 75,000 of Monrovia’s 1.3 million residents. The northern bank of the Mesurado is populated with mangroves, but much of the city on the southern bank is directly exposed to the river. Many of Monrovia’s inhabitants live in unplanned settlements in low-lying coastal areas of the city. Buildings in the settlements are variably constructed out of zinc, wood, and other weak local materials., These slums are characterized by their poor water and sanitation systems and increased risk of disease. Built-up areas along the water’s edge have suffered considerable damage and loss from coastal and river flooding and coastal erosion, particularly during the rainy season. Projected sea level rise will exacerbate these conditions and increase the severity of storm surge and flooding.

Open Cities Monrovia proposes a Participatory Mapping effort in Clara Town and Doe Community in Monrovia City, to collect geospatial data to plan for adaptive measures around seasonal flooding, poor sanitation, and drainage infrastructure. Improved datasets on flooding will help government and development partners to make more refined policies around causes of flooding, (both man-made or climate change induced) and to design programs that would minimize or eradicate future occurrences.
Government Stakeholders identified for this project include: the Monrovia City Corporation (MCC), Liberia Institute of Statistics and Geo-Information Services (LSGIS), National Disaster Management Agency (NDM), the Ministry of Public Works, the Liberia Water and Sewer Corporation, and Ministry of Gender, Child and Social Protection.

Download Monrovia data

Mapping Progress to Date

This section provides an overview of mapping activities in the selected city geographic extent. The Before/After widget below allows comparing current density and distribution of map features with snapshots from previous years. The time chart of OSM editing activity over time offers insights on how many features have been contributed to the map over a specified period.

Data Quality

While OSM coverage keeps increasing, it's important to also understand quality of the data created. The tools available in this section allow for comparing OSM data with other "reference" datasets. These could be, for example, official datasets from government agencies showing distribution of features with those available OSM. The "Gap Detection" widget provides a visual representation of potential gaps in data, by comparing the latest OSM buildings with built-up areas automatically detected from satellite imagery.

OSM Community Dynamics

Understanding mapping progress and data quality also requires looking at the local OSM community and how mappers have contributed over time. Embedded widgets in this sections allow e.g. exploring the list of top mappers who contributed to features within the city extent, with links to their OSM user profile page. A time chart of number of user contributions over pre-defined time periods (daily, weekly, monthly), also provides a picture of how consistent the mapping activity in the area is.

Date Range

users made contributions