Find Features - Find Buildings Sidli Pt-Chirang - India (1) HOT
Find Features
Finished
India
HOT
Mar 29, 2026
Project overview
This MapSwipe project aims to identify building footprints in the Sidli Pt-Chirang district.
In 2025, Sidli, which is a revenue circle in the Chirang district of Assam, was part of a significant wave of flooding that impacted the region between late May and June. During this period, heavy monsoon rains led to widespread devastation across several districts in Assam. Chirang district, where Sidli is located, was identified as highly vulnerable in the 2025-26 District Disaster Management Plan due to its susceptibility to both floods and landslides.
By mapping buildings in these areas, volunteers will help create essential baseline data on settlements and infrastructure. This information will support climate resilience efforts by improving preparedness and enabling faster damage assessments and more effective response if similar floods occur again in the future
Image by [Rangan Datta ](https://commons.wikimedia.org/wiki/File:Prayagraj_Sangam_2.jpg)Wiki under Creative Commons Attribution-Share Alike 4.0
230
km2
812
Contributors
Project Completion
100% completed
Last updated: May 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
0.5 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
0.5 MB
Groups
Groups. (Note that you need to unzip this .gz file before you can use it.)
GZIP
2.8 kB
History
History
CSV
1.4 kB
Results
This gives you the unfiltered MapSwipe results. (Note that you need to unzip this .gz file before you can use it.)
GZIP
6.5 MB
Tasks
Tasks. (Note that you need to unzip this .gz file before you can use it.)
GZIP
0.4 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
41.7 kB
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
0.2 MB
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
0.2 MB
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.
