Find Features - Find Buildings-Drone Flight Area FreeTown_Central1 - Sierra Leone (1) HOT

Find Features
Finished
Sierra Leone
HOT
Apr 20, 2026
Find Features - Find Buildings-Drone Flight Area FreeTown_Central1 - Sierra Leone (1) HOT

Project overview

Urban thermal environments are closely linked to the health and well-being of residents, particularly in rapidly growing cities such as Freetown, where informal settlements and heat-absorbing materials intensify the urban heat island effect. Rising temperatures and prolonged heat exposure pose significant risks, especially for vulnerable communities, making it essential to better understand and map heat distribution across the city . Drone-based thermal infrared imagery provides an efficient, flexible, and community-driven approach to capturing high-resolution data on urban heat patterns. Within the context of Freetown’s ongoing efforts to build climate resilience, locally collected drone imagery plays a key role in identifying heat hotspots, supporting evidence-based decision-making, and enabling targeted interventions such as urban greening, infrastructure adaptation, and improved housing conditions . To support these efforts, we aim to identify built-up areas across Freetown—particularly in dense and underserved neighborhoods—to optimize drone flight planning and data collection. This will ensure efficient coverage, enhance the quality of thermal mapping outputs, and contribute to community-led strategies for mitigating heat risks and strengthening urban resilience. If you want to learn more you can check this [blog post](https://www.hotosm.org/en/projects/catalyzing-data-driven-community-heat-resilience-in-freetown/)
2
km2
9
Contributors
Project Completion
100% completed
Not enough data points for the chart!
Last updated: Apr 21, 2026

Download the data

Below you'll find the data downloads for this MapSwipe project, including a GeoJSON file that can be imported into the HOT Tasking Manager for more detailed mapping of the area. If you need more information or if you have a special request related to MapSwipe data get in contact with the team at the Heidelberg Institute for Geoinformation Technology
Aggregated Results
Aggregated Results. This gives you the unfiltered MapSwipe results aggregated on the task level. This is most suited if you want to apply some custom data processing with the MapSwipe data, e.g. select only specific tasks. Check our documentation for more details. (Note that you need to unzip this .gz file before you can use it.)
GZIP
5.7 kB
Download
Aggregated Results (with Geometry)
Aggregated Results. This gives you the unfiltered MapSwipe results aggregated on the task level. This is most suited if you want to apply some custom data processing with the MapSwipe data, e.g. select only specific tasks. Check our documentation for more details. (Note that you need to unzip this .gz file before you can use it.)
GZIP
6.3 kB
Download
Groups
Groups. (Note that you need to unzip this .gz file before you can use it.)
GZIP
0.4 kB
Download
History
History
CSV
0.4 kB
Download
Results
This gives you the unfiltered MapSwipe results. (Note that you need to unzip this .gz file before you can use it.)
GZIP
8.9 kB
Download
Tasks
Tasks. (Note that you need to unzip this .gz file before you can use it.)
GZIP
5 kB
Download
Users
This dataset contains information on the individual contributions per user. This tells you for instance the most active users of this project. (Note that you need to unzip this .gz file before you can use it.)
GZIP
0.6 kB
Download
Area of Interest
This dataset contains information on the project region.
GEOJSON
0.6 kB
HOT Tasking Manager Geometries
This dataset contains shapes that are ready to use in the HOT Tasking Manager. Currently, the geometries consist of maximum 15 MapSwipe Tasks, where at least 35% of all users indicated the presence of a building by classifying as "yes" or "maybe"
GEOJSON
4.2 kB
Download
Moderate to High Agreement Yes Maybe Geometries
This dataset contains all results where at least 35% of users submitted a "yes" or "maybe" classification. The output dataset depicts the union of all selected results.
GEOJSON
3.3 kB
Download

Our license

This project is part of the OpenStreetMap community. The goal is high-quality geographical data, freely accessible and available to everyone. OSM’s reciprocal license protects the data from being appropriated by services that do not share back to OSM.

MapSwipe is released under a "liberal" non-reciprocal license (Creative Commons Attribution). Whenever you want to use the data, just make sure to credit the MapSwipe contributors.