Find Features - Find Buildings Ahuas - Honduras (1) HOT
Find Features
Active
Honduras
HOT
Jun 29, 2026
Project overview
Ahuas, is highly vulnerable to climate change. Its primary climate risks include severe riverine and coastal flooding, increasingly intense tropical storms, wildfires, and deforestation-driven ecosystem loss. The region faces severe infrastructural and socioeconomic setbacks.
By identifying on MapSwipe buildings and settlements, volunteers support better emergency preparedness and inclusive territorial planning, making remote communities visible and reducing vulnerabilities
This initiative shows how digital mapping can empower Indigenous communities, reduce vulnerability, and support the long-term sustainability of the Amazon through data-driven action.
Mapswipe 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/)
1302
km2
116
Contributors
Project Completion
64% completed
Last updated: Jul 1, 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
1.8 MB
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
1.9 MB
Groups
Groups. (Note that you need to unzip this .gz file before you can use it.)
GZIP
7.9 kB
History
History
CSV
0.5 kB
Results
This gives you the unfiltered MapSwipe results. (Note that you need to unzip this .gz file before you can use it.)
GZIP
1.1 MB
Tasks
Tasks. (Note that you need to unzip this .gz file before you can use it.)
GZIP
1.7 MB
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
5.8 kB
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
63.5 kB
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
95.5 kB
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.
