First #feedback about Mapflow #Buildings + Heights model, using Global Mosaic 2022 data source. Thanks for sharing, good so far. 😃
Nevertheless, the input image quality always impacts the model's performance. And there is room for improvement of the model's stability. Stay tuned for the model's update and try it out.
Nevertheless, the input image quality always impacts the model's performance. And there is room for improvement of the model's stability. Stay tuned for the model's update and try it out.
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See the demo of the Buildings model with "Height estimation" based on Tangshan (China) sample. Check the results in the demo project.
YouTube
Mapflow Buildings Height estimation - generate "3D Building footprints"
Mapflow AI rolled out a major update to the default Mapflow Buildings model: you can now estimate building heights directly from imagery. This new feature leverages a dedicated regression-based model that infers height using visual indicators such as shadow…
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From the #Mapflow user's feedback. Combined models applications to the satellite images of the rural area in China. 🤩
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As August is vacation time in many companies, we share some photos of our teammates on their adventures across different countries (Part 1). How many countries can you name? #GeoQuizz #workation #Geoalert #Team
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We are starting our webinar in 15 minutes. Join us for the live demo and teasing about new options related to #Mapflow Buildings model and open data.
crowdcast
Mapflow Building footprints update: heights, solar panels, merge with open data
Register now for Mapflow Building footprints update: heights, solar panels, merge with open data on crowdcast, scheduled to go live on August 25, 2025, 02:00 PM GMT+4.
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When comparing #AI-powered mapping with open data, one of the most common questions we hear is: what’s the real value of imagery analysis and feature extraction compared to openly available datasets?
In practice, it depends on your needs:
Image alignment – if you already have your own imagery and want features to align with it (the value is in the tool, not just another dataset).
Data updates – if you need the most recent imagery to detect changes or trust results based on a specific source.
Still, open mapping data is a great reference point and complement to AI-based projects.
🚀 New release:
We’ve added a new default scenario to download data directly from #OpenStreetMap and #OvertureMaps – two most trusted open mapping data sources.
Workflow is simple:
1. Search, draw, or upload AOI
2. Select a background image (Mapbox Satellite is free, others may require credits)
3. Choose the open data object types (4 available now, more coming)
4. Run the workflow & preview results on the map
Now you can combine open mapping data with AI mapping results in a single project.
Regarding the Pricing:
We set minimum price = 1 credit / sq. km / feature type
Not for large-scale downloads, but perfect for combining open data with imagery basemaps + AI mapping.
🌍 Examples:
1. Airport in Australia – #Mapflow struggles with terminal structures, but OSM maps them well → just import from OSM.
2. Area in Texas – U.S. datasets are strong, but forestry areas are rough → use AI detection to refine and update.
💡 These are just a few examples. We’d love to hear your ideas, comments, and requests on using the new scenario!
In practice, it depends on your needs:
Image alignment – if you already have your own imagery and want features to align with it (the value is in the tool, not just another dataset).
Data updates – if you need the most recent imagery to detect changes or trust results based on a specific source.
Still, open mapping data is a great reference point and complement to AI-based projects.
🚀 New release:
We’ve added a new default scenario to download data directly from #OpenStreetMap and #OvertureMaps – two most trusted open mapping data sources.
Workflow is simple:
1. Search, draw, or upload AOI
2. Select a background image (Mapbox Satellite is free, others may require credits)
3. Choose the open data object types (4 available now, more coming)
4. Run the workflow & preview results on the map
Now you can combine open mapping data with AI mapping results in a single project.
Regarding the Pricing:
We set minimum price = 1 credit / sq. km / feature type
Not for large-scale downloads, but perfect for combining open data with imagery basemaps + AI mapping.
🌍 Examples:
1. Airport in Australia – #Mapflow struggles with terminal structures, but OSM maps them well → just import from OSM.
2. Area in Texas – U.S. datasets are strong, but forestry areas are rough → use AI detection to refine and update.
💡 These are just a few examples. We’d love to hear your ideas, comments, and requests on using the new scenario!
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