Find - Buildings in the rural areas (1)

Find

Finished

Rio Paranaíba, MG, Brazil

YouthMappers UFV

Jun 26, 2025

Project overview

Este projeto tem como objetivo identificar áreas com edificações nos municípios de Rio Paranaíba, São Gotardo, Carmo do Paranaíba, Matutina e Arapuá, localizados na região do Alto Paranaíba, em Minas Gerais. Através da análise colaborativa de imagens de satélite, os voluntários ajudarão a localizar construções e áreas ocupadas, apoiando futuras ações de planejamento urbano, gestão de risco, mapeamento humanitário e atualização de dados no OpenStreetMap. A contribuição de cada pessoa ajuda a construir mapas mais completos e confiáveis dessas cidades, especialmente em áreas onde há pouca informação disponível. Nenhuma experiência prévia é necessária — basta seguir o tutorial dentro do aplicativo e começar a identificar! ## English This project aims to identify areas with buildings in the municipalities of Rio Paranaíba, São Gotardo, Carmo do Paranaíba, Matutina, and Arapuá, located in the Alto Paranaíba region of Minas Gerais. Through collaborative analysis of satellite images, volunteers will help locate buildings and occupied areas, supporting future urban planning, risk management, humanitarian mapping, and data updates on OpenStreetMap. Each person's contribution helps to build more complete and reliable maps of these cities, especially in areas where little information is available. No previous experience is necessary — just follow the tutorial within the app and start identifying!

3957

km²

269

Contributors

Project Completion

100% completed

Last updated: Jul 1, 2025, 11:38:38 PM

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

5.8 MB

Download

Aggregated Results (with Geometry)

geojson

5.8 MB

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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

0.9 MB

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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

1.7 MB

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Groups

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

csv

8.9 kB

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History

geojson

0.8 kB

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Results

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

csv

3.3 MB

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Tasks

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

csv

5.2 MB

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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

13.4 kB

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Area of Interest

This dataset contains information on the project region.

geojson

0.2 MB

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.