Validate Footprints - Flood Damage Detection Upper Trishuli and Bhote Koshi-POST FLOOD - Nepal (1) HOT
Validate Footprints
Active
Nepal
HOT
Sep 2, 2026
Project overview
This dataset validates AI generated damage assessment data from [HOT's fAIr model](https://fair.hotosm.org/) as part of an urgent disaster mapping response to the devastating floods and mudslides that swept through the Lhende Khola river valley in Nepal, leading to a heavy toll on lives and critical infrastructure on 26 August 2026.
In response to this tragedy, Humanitarian OpenStreetMap Team (HOT) and NAXA has launched a mapping initiative, in collaboration with the local mapping community, to support ongoing humanitarian efforts. We are seeking volunteer mappers to contribute essential mapping data to local responders, helping them plan and coordinate both immediate emergency relief and long-term reconstruction efforts.
### Help us validate AI-generated building damage assessments.
Your contribution helps improve the accuracy of damage data used by responders on the ground. Learn more about the response [here](https://wiki.openstreetmap.org/wiki/Organised_Editing/Activities/Nepal_Floods_2026/).
0
km2
79
Contributors
Project Completion
45% completed
Last updated: Sep 4, 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
51.5 kB
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
57.1 kB
Groups
Groups. (Note that you need to unzip this .gz file before you can use it.)
GZIP
0.9 kB
History
History
CSV
0.4 kB
Results
This gives you the unfiltered MapSwipe results. (Note that you need to unzip this .gz file before you can use it.)
GZIP
72.7 kB
Tasks
Tasks. (Note that you need to unzip this .gz file before you can use it.)
GZIP
50.5 kB
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
3.5 kB
Area of Interest
This dataset contains information on the project region.
GEOJSON
0.2 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.
