Currently, the site’s leaderboard shows that the top 50 users have submitted over 1 million images each, with the leader at 18 million images and nearly 300,000 km. I currently have submitted 2,400 images covering 24 km. I have a long way to go: Ah! More fieldwork!
To examine the map and images, from the main page, under the Imagery tile, select “Explore coverage.” A global map will open with the Mapillary data collected shown in green. For example, if you zoom to Melbourne Australia, you will see a large circular feature that I collected in Royal Park, shown below. You can see the photographs I took on a fine late winter day as I was walking to the University of Melbourne to teach a GIS workshop. Look at those fantastic Australian trees! You can also tick the “Play” button in the image to “travel” around the circle as I did, in your case, virtually, using the images. Note how each image indicates where on the map it was captured and what direction from straight ahead I took it. You can also play the sequence in full screen mode with the map in the corner, turn on object detection, or filter the view.
Try walking along my route through Royal Park in Melbourne by clicking on the forward and backward arrows in the above immersive view collected with Mapillary!
You will need to register for a free Mapillary account to do this. After obtaining your free account, download the Mapillary app for your phone.
Mapillary provides map data as a subscription and downloads are requested through Mapillary for Organizations. Mapillary for Organizations is a workspace that anyone with a Mapillary account can create. Within an organization, there can be multiple individual accounts. Thus, it provides a way to organize capture projects and request data for your area of interest, rather like putting together a team for mapping purposes. To use data for educational purposes, you should focus on data that you or your students have collected.
You can download your Mapillary map data and bring it into ArcGIS Online. The data gets extracted as a GeoJSON file, which you can add to your ArcGIS Online map as I will explain below. Go to your sequence in the web mapping app > click the three dots in the bottom right corner, as shown below:
The 3 dots on your collected track that allow you to download your data for use in ArcGIS.
After clicking on the 3 dots, select: > Advanced options" > "Download lines" to get the trace of your track:
Downloading your Mapillary track.
After selecting Download Lines, a GeoJSON file will open up in a web browser tab. Right click somewhere on in the white space where there is no text, and > "save as." Change the filetype to "all files" and then add the ".geojson" extension to the file name. Alternatively, in a web browser where you are displaying the GeoJSON file, copy all of its contents, paste it into Notepad, and name the file appropriately, such as Melbourne_track.geojson. Your system will likely add “.txt” to the end of the file name. If so, rename the file and take off the “.txt” extension.
Once you have your GeoJSON file, go to ArcGIS Online > Add Data > Add from file, and point to your geojson file. Symbolize the tracks in the area on user name so you can determine which track is your own, as I did, below:
Alternatively, you could add your GeoJSON file as a file to your ArcGIS Online content, thereby creating a feature service from it. Then, you can add it to your map, and filter on the user name to only see your own track, as shown in this web map of mine, here. Now that it is a feature service, it is an even more powerful layer than simply a map element, that you can now use as input to your spatial analysis tools, such as buffer, overlay, and more.
Next, for enhanced geo-visualization, try bringing your Mapillary track into the 3D scene viewer in ArcGIS Online, as I did here; see below.
Mapillary track in a Esri ArcGIS 3D scene.
Close up of Mapillary track in 3D scene viewer using a hiker as the symbol.
Want to dig deeper? You can even extract features from the images; see more information here on map features, and the help page about how to bring data to ArcGIS Online. When you do so, you are using Artificial Intelligence in action! See an example of features in the benches example below, along with my track. The benches have been extracted with the Mapillary algorithms from the images on my track.
For students who become familiar with using Esri’s Web App Builder, you might also encourage them to try the Mapillary Widget, which allows for the viewing of Mapillary street-level images.
I encourage you to use these Mapillary tools to enhance your fieldwork, teach about apps, Web GIS, and crowdsourcing, and to improve the spatial thinking of your students.
For more information, see my related essay on the Mapillary blog.