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.

πŸš€ 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 β†’ just import from OSM.
2. Area in Texas – U.S. datasets are strong, but forestry areas are rough β†’ use AI detection to refine and update.

πŸ’‘ 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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The "Blood moon" over Petrovaradin fortress, Serbia. 2025-09-07 (photo by Geoalert's CTO Alex Trekin)
The moon appears red during lunar eclipses because the only sunlight reaching it is reflected and scattered through the Earth’s atmosphere. πŸŒ›
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New Feature: Layer Switching & Legend in Mapflow Viewer

You can now switch layers directly in the Mapflow map viewer. Use the menu button (☰) in the top-right corner of the map to open the layer panel and legend.

Since model outputs are generated as a single GeoJSON, the legend helps you distinguish between object classes such as Buildings, Roads, and Vegetation when using the combo scenario. This makes it easier to preview classification resultsβ€”whether classifying buildings by typology or vegetation by height.

(In the GeoJSON, classification values are stored in the class_id property.) ⭐️
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Geoalert #Team at ICT week, Tashkent, past week.
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From the Mapflow user's #feedback (positive) – Building footprints with classification by typology.

Now it's much easier to read the classification in the preview with the map legend.
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Let's meet at INTERGEO #Expo and Conference 2025! It's very inspiring to attend an event of this scale.

#Geoalert CEO Georgy Potapov will be at the Expo in Frankfurt. We look forward to meeting with our partners and to get introduced to the new ones.

Note that GeoAlert software is featured at #geocloud.work booth, who are our fellow partners.
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It was a pleasure to meet our fellow partners at Intergeo Expo. As a brief overview, I'd rather say that this year there are even more hardware-based verticals with even more stunning equipment that inhouse every possible geo-technology in them, from lidars to aerial survey and AI analytics - this is on one end, and outsourcing & outstaffing companies doing whatever you want in the field of Geospatial - on the other. There are very few product-focused companies specializing in software design or analytics, so it's hard to determine if they have any clients in this area. (The most successfully positioned and focused company is supposed to be the one designing and producing the lasting cases for geodesic equipment.)

It seems that German vendors use the Expo to meet their key government customers and offer them a cup of coffee. The last thing is some technical or data opportunities they would care about.

Nevertheless, it was my good fortune that I was accompanied by a friend Ilya Vladimirskiy, who knows the broad data market, based in Berlin, and wants to help us build some connections.

Besides browsing the Expo, we met with our partners - the Chinese satellite data providers, the cloud marketplace for geospatial software geocloud.work, and the users of our software.
BTW, I've come across Plan4Better, who started their journey by spinning off a university open-source project, around the same time we started #GeoAlert.
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Mapflow-QGIS plugin 3.3.0 is out. πŸš€

What’s new:

1) New buttons in the Processing menu: restart (the failed one), duplicate processing params
2) My Imagery: rename images
3) Go to the corresponding image in "My Imagery" from the Processing details (before it was quite tricky to find out the image if you have a lot of them)
4) New styles for the "Open data download"

Don't forget to update when starting QGIS. ✍️

For those of our followers who might not be familiar with this project – we started developing the QGIS plugin with the primary purpose of showcasing the Mapflow API and getting a smoother integration of it for those who are used to working with GIS software. Currently, the plugin has over 160,000 downloads from the official repository, and users have created videos and other content teaching how to use it for mapping and analytical projects.
Join the community and follow our progress on GitHub β€” post an issue, suggest a feature, or contribute to the code:
πŸ‘‰ github.com/Geoalert/mapflow-qgis
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We redesigned the sidebarβ€”now there is a single dropbox for uploading your AOI polygon or GeoTIFF file. The latest calculates the image extent; you can choose it or apply the vector polygon instead. ✍️#Mapflow #tips
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Just a random photo from a Tel Aviv gathering. (Occasional workspace πŸ˜‰)
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2025/10/24 14:04:24
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