Find Features - Find Buildings Darien - Panamá (1) Humanitarian OpenStreetMap Team

Find Features
Active
Panamá
Humanitarian OpenStreetMap Team
Jun 22, 2026
Find Features - Find Buildings Darien - Panamá (1) Humanitarian OpenStreetMap Team

Project overview

Darién, Panama faces a severe confluence of climate, environmental, and human displacement risks. Flash floods, sudden river surges, and landslides driven by heavy rainfall are the primary hazards, compounded by extreme heat and the compounding pressures of deforestation, pollution, and mass migration through the roadless jungle apswipe results will be used during [Annual National Anticipatory Mapathons (MANA)](https://www.hotosm.org/en/news/anticipatory-annual-mapathons-innovation-and-collaboration-to-close-mapping-gaps-in-latin-america-and-the-caribbean/), these are an innovative strategy to close mapping gaps in Latin America and the Caribbean, strengthening risk prevention and management. You can check some of the related projects [here](https://www.hotosm.org/en/projects/participatory-mapping-for-a-sustainable-amazon/) This file is licensed under the [Creative Commons Attribution-Share Alike 4.0](https://creativecommons.org/licenses/by-sa/4.0/deed.en) license by Mónica J. Mora
1563
km2
216
Contributors
Project Completion
84% completed
Not enough data points for the chart!
Last updated: Jun 26, 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
2.1 MB
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
2.2 MB
Download
Groups
Groups. (Note that you need to unzip this .gz file before you can use it.)
GZIP
7.5 kB
Download
History
History
CSV
0.7 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
2.7 MB
Download
Tasks
Tasks. (Note that you need to unzip this .gz file before you can use it.)
GZIP
1.9 MB
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
10.7 kB
Download
Area of Interest
This dataset contains information on the project region.
GEOJSON
0.7 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
24.4 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
36.2 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.