Identificación de coberturas - Michoacán (1)

Find
Active
México (VER TUTORIAL)
OpenMappingHub - LAC
May 23, 2024
Identificación de coberturas - Michoacán (1)

Project overview

Para contribuir con este proyecto primero ver tutorial Este proyecto busca identificar los cambios que ocurren en los ecosistemas naturales del estado de Michoacán en México. Ayúdanos a detectar las áreas donde vegetación natural ha desaparecido, por medio de la observación de imágenes de satélite. Tu participación contribuye a la construcción de mapas que tienen la finalidad de plantear acciones de restauración, conservación y manejo sustentable de ecosistemas.

1348
km2
88
Contributors
Project Completion
91% completed
020406080100May 23, 24May 27, 24May 31, 24Jun 04, 24Jun 08, 24Jun 13, 24
Last updated: Jun 13, 2024, 11:44:36 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
0.6 MB
Download
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.)
geojson
0.6 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
0.2 MB
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
0.3 MB
Download
Groups
Groups. (Note that you need to unzip this .gz file before you can use it.)
csv
2.1 kB
Download
History
History
geojson
2.2 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
0.3 MB
Download
Tasks
Tasks. (Note that you need to unzip this .gz file before you can use it.)
csv
0.5 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
4.2 kB
Download
Area of Interest
This dataset contains information on the project region.
geojson
46.7 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.