Compare - Public Health (1)

Compare

Finished

Bassikounou, Mauritania

Médecins Sans Frontières

Oct 4, 2024

Project overview

MSF teams are currently doing an explo to understand the needs of the population living in the Bassikounou district in the south east of Mauritania. To improve their understanding of population numbers and to plan for a health survey they are asking support from you to help mapping all buildings in the district. In this project you are looking to detect new buildings between two sets of imagery. The imagery used in this project is 1) © 2019 ESRI and 2) © Airbus DS (2024), Provided by the Airbus Foundation. Please use the tutorial to learn how to contribute. Note: We are aware the resolution of the bottom imagery is quite low, however it is the most recent imagery we have that we can use for comparison. Thank you for your cooperation and mapping efforts.

1799

km²

374

Contributors

Project Completion

100% completed

Last updated: Dec 21, 2024, 12:04:07 AM

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.)

csv

0.7 MB

Download

Aggregated Results (with Geometry)

geojson

0.7 MB

Download

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

84.3 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

0.2 MB

Download

Groups

Groups. (Note that you need to unzip this .gz file before you can use it.)

csv

2.6 kB

Download

History

geojson

1.8 kB

Download

Results

This gives you the unfiltered MapSwipe results. (Note that you need to unzip this .gz file before you can use it.)

csv

0.4 MB

Download

Tasks

Tasks. (Note that you need to unzip this .gz file before you can use it.)

csv

0.6 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.)

csv

16 kB

Download

Area of Interest

This dataset contains information on the project region.

geojson

0.9 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.