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Deep learning CV and Earth Observation data. What satellites can see? Monitoring of Environment, Land management; Urban planning and Mapping, Mapflow.ai etc. Сontact us at hello@geoalert.io or @godnik0
It’s official — the new "🌲 Forest and trees" mapping model is live. 🎉
Although the update quietly rolled out two weeks ago, we’ve been holding off on the announcement while collecting early usage data and finding the optimal balance of the model input parameters. Now, we’re excited to share what’s new — and what’s already showing great results.
The biggest advantage is that the model now supports individual tree crown detection and delineation, which can be added as an optional layer to the base forest mask. This opens up new possibilities for estimating forest structure and tree heights.
Since becoming the default in #Mapflow, the updated model has sparked users' interest. In this initial period, the Forest + Crowns option was used five times more than the basic version, while in 2024 it was quite the opposite — the Forest with Heights option was used 3 times less than the basic Forest. Damn, it looks like users are really engaged in trying the Crowns + Heights.
We're continuing to fine-tune the model’s input parameters and gather more examples of real-world applications. In the meantime, here are a few project snapshots that highlight what the new model can do...
How we handle low ratings in #Mapflow
When a user rates a result with 1 or 2 stars ⭐️, our support team reviews the case to assess whether a credit refund is warranted. In many instances, low ratings stem from mismatched expectations about the model’s capabilities. In others, the output may be bad—this can happen due to the complexity of globally stable models that must handle a wide variety of patterns and contexts.
Poor-quality input data can also impact the final results, making them less usable. If, upon review, we confirm that the result was of insufficient quality, we refund the credits used for that specific process. Users will receive a notification once the refund is done.
In some cases, we also follow up with an explanation—especially when we’ve identified a clear reason for the poor result or when the results can be improved by adjusting the model parameters.
We welcome all feedback, whether positive or negative—it helps us improve and better align with your expectations. 🤗
#Vacancy
Sales Engineer (Presale & Product Evangelist) – #Geoalert
We’re growing our team, and we're looking for a Sales Engineer to join our mission of making the World more interpretable with geospatial AI.
As a Sales Engineer, you’ll collaborate closely with our Business and R&D teams to run presales with prospective clients, while also supporting and promoting our expanding suite of imagery analysis services to the growing user base of our SaaS platform, Mapflow AI.
What you’ll do:
- Meet with prospective and existing clients to understand their needs and help them get the most value from Geoalert’s solutions
- Conduct presale consultations, product demos, and technical deep dives into how our AI models work on aerial and satellite imagery
- Provide feedback from clients to shape product development
- Promote and advise on the best practices in AI-driven geospatial analysis for industries such as:
- Telco radio network planning
- Land use and urban planning
- Real estate and land plot evaluation
And more
About you:
- You’re tech-savvy and confident in discussing software and AI solutions with both engineers and executives
- You have experience (or strong interest) in geospatial tech, AI, or imagery-based analytics
- You enjoy explaining complex ideas clearly and building strong relationships with clients
- Previous experience in sales engineering, solution consulting, or geospatial domains is a big plus
About us:
Geoalert is a growing tech startup with a global reach. We’re a diverse international team of professionals and researchers passionate about geospatial AI. Our platform, Mapflow AI, processes aerial and satellite imagery to extract valuable insights across multiple industries. Today, Mapflow is used by over 2.5K monthly users in the US, Indonesia, Russia, Turkey, Brazil, and beyond.
Join us in shaping the future of geospatial AI.
👉 Ready to learn more? Apply now! Send us your CV at hello@geoalert.io
Geoalert webinar will start in 30 minutes. ⏳ Join us online.
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We've enhanced Mapflow Teams to streamline collaboration.
🔹 New Invitation Management: Team owners now have a dedicated invitation section, allowing them to send invites and track user responses.
🔹 Invited users receive notifications and can accept or decline the invitation. Each user can belong to only one team at a time.
Mapflow Teams is a powerful tool for managing large, multi-task projects, ensuring seamless coordination. It’s also the easiest way to share projects with collaborators. (Note: You don’t need a team for view-only sharing.)
Have questions? We’re here to help—reach out for onboarding assistance!
🚀 Mapflow 3.1.0 for QGIS is here!
The latest release brings a major update to the Imagery Search, now allowing separate searches for Satellite Imagery #Basemaps (Mosaics) and Satellite Data Archives (Images).
🌍 New Features:
✅ Search #ArcGIS WorldView imagery basemap metadata by date range or exact dates.
✅ Apply filters based on minimum intersection with your area of interest.
✅ Select multiple images and process them simultaneously.
🔗 Read more about data providers in Mapflow.
📜 Check out the full changelog on GitHub, update now, and share your feedback!
OK guys... These are the Maldives! The difference between the images comes from the varying approaches used by different data providers. #Mapbox #Satellite (on the right) omits images for certain areas with minimal landmass, instead filling them in with a background color like water. If you zoom in, you'll see these areas appear blurred around. No need to worry—the Maldives haven’t disappeared underwater!
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The recording of Geoalert's webinar "My Imagery for QGIS" is available for everyone on our Youtube channel. Stay tuned for our next events. 👀
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In the meantime, our partners from geocloud.work launched a new service dedicated to matching customers with #geospatial software contractors. At least two contractors, including Geoalert Uzbekistan, are already providing professional services powered by the Geoalert platform #Mapflow AI. We encourage more of our partners to join Geowork's network and marketplace.
By the way, it's a good match for providing geospatial services with #QGIS. We continuously update the Mapflow plugin for QGIS, which currently has almost 130K downloads. 😉
❗️ My Imagery (Beta) is now available for all Mapflow users!
You can now manage your storage more efficiently by removing unused images.
✅ Start using image collections today with Mapflow for QGIS: Read the guide.
🔸 The web version is coming soon!
Oman building structures detected by #Mapflow. Thanks for leaving user feedback even if we don't agree with the rate. 🙂
We keep reviewing the weekly user rating and contact back if we know It can be improved by using more detailed imagery or configuring the model.
#Mapflow #Userguides
When starting a new project, you can set a name, customize icons, and modify a list of available AI-mapping workflows that are enabled in your project.
If your account is upgraded to Premium or Custom, you might be able to customize your project mapping workflows and some of their options.
While we continue to reflect on the impressions, ideas, and many productive meetings we had during our #team-building and a Demo day in #Tashkent, we would like to share some joyful moments from the event.
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We got to share a new partner story from Brazil – Identification of Priority Trees for Pruning.
"Poor urban #tree management can lead to various negative impacts on the #power distribution network. When in contact with the network, trees can cause unplanned power outages, increase the risk of fires and electric shocks, and result in economic losses for the population. To prevent these issues, LOP – Smart Pruning utilizes the Forest Height model developed by #Mapflow to identify trees that are in contact with power lines. This approach ensures efficient and sustainable urban tree management, avoiding unnecessary pruning and improving the safety of the power grid."
LOP is a Brazilian startup specializing in the intelligent management of tree pruning near #powerlines, public lighting, and traffic lights. LOP identifies priority areas for pruning, sends data to field teams, and enables real-time
management and monitoring of pruning activities.
By João Paulo Delapasse Simioni – Co-founder
🔥 One day left until the end of registration for Geoalert #workshops and the partner meetup in Tashkent, on December 23.
If you are around, you are welcome to attend the special event. We are looking forward to seeing you in Tashkent.
#GeoQuiz
What would it look like if a paper shredder were applied to the maritime landscape? 😄
#teaser Testing the new version of the🌲 Forest and Trees model. Ongoing the final testing, it's up to release for all #Mapflow users.
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New video from our #webinar – Introduction to the #Imagery Search in Mapflow QGIS.
Stay tuned for the new events and share your feedback with us.😊
Geoalert will host a new #webinar 🏆 – on Mar 13, 9:00 UTM.
Join or first event in the series of #userguides dedicated to the data sources compatible and useful for analysis and AI mapping in Mapflow.
We will demonstarte an imagery search tool updated to be used in #QGIS.
It's free and fun. 🤩
Register here.
Learn more about 🔍 Imagery Search and satellite data providers in Mapflow.
This tool allows users to find available satellite imagery for their area of analysis, connecting to global satellite data providers and aggregators.
We’re committed to making satellite imagery more accessible and affordable for analysis—whether you're analyzing a single land plot or an entire country.
With the latest Mapflow plugin for #QGIS, you can combine search results from imagery #basemaps and commercial data providers for a more comprehensive view.
🎉 Major Update: Mapflow "My Account"
We’ve revamped the My Account section, making it more feature-packed!
🔔 In-App and Email Notifications
Many times, our first line of support (chatbot) was asked about the time required to complete the process. Now, you'll receive in-app notifications about your processing status, and you can enable email notifications to stay updated.
📊 Billing & Processing History
The next update is the Billing and processing history — whether for yourself or your entire team (for Team accounts). Use filters to sort by date, processing status, or custom parameters like user email or processing name.
Read more about My Account in docs.
Enjoy and if you have questions contact us – we are happy to help!
#GeoQuiz Sometimes, we get notifications about the failed AI mapping process due to the unavailability of satellite imagery. This makes us pay attention to some particularly interesting parts of the World. The question is, what part and why is there such a difference between the two imagery basemaps? As usual, you can send us your answers in DM, by email, or using a feedback form on our web-site. To those who answer correctly, we will provide the #Mapflow promo code. Have a nice weekend. 😉
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Do you have your images and want to drastically speed up your analytical workflow? 🚀 Don't miss our webinar Today. 👆👆👆
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Geoalert will host a webinar 🏆 – on Feb 14, 11:00 UTM
“My imagery” is a new major feature that allows you to collect images in separate collections and use them for AI analysis separately or as a “mosaic”. Using this service, users can easily manage their image collections and reuse images for the next processing and analysis with Mapflow AI models.
We will showcase the new version of plugin for #QGIS supporting this service and update you on the Web app implementation which is in progress.
✅ Join us on the live event for the demonstration and Q&A.
⚠️ Storage limits in #Mapflow will take effect soon ⚠️
We continue to enhance the My Imagery service for Mapflow users, making it easier to upload and manage your data.
While the Web app implementation is still in progress, you can already view your image collections and delete unused ones to free up space in your Mapflow account.
We have a growing number of users uploading thier images to Mapflow to generate maps and analyse them.
Please note that free user storage is limited to 1 GB (see pricing). Once this new page is added to the Mapflow user accounts, these limits will take effect.
✍️ Note: Paid accounts have a 15 GB storage limit, while some customers have custom limits based on their plans.
👆Important: This feature is currently in beta testing. If you experience any issues or incorrect storage limits, please contact our support team, and we will resolve them.
Starting 2025 we are happy to announce the new #Mapflow service we've been working on through the past year. 🥳
Mapflow "My Imagery" is aimed at helping users with multiple images and historical data organize their imagery collections and manage their data so it can be reused for the Mapflow #AI #analysis and #mapping.
"My Imagery" is currently available in the Maplfow #QGIS plugin and #API, and the Web app implementation is in progress.
✅ Video intro to "My imagery" using QGIS
🎵BTW in this video we used the music composed by our colleague Eugeny, who is a leading research engineer at Geoalert
✅ #QGIS plugin release – don't forget to upgrade!
✅ Mapflow Docs
Let us know about your experience using the new service. 💙
To reflect a bit on the passing year, we prepared a short video greeting with important highlights of our "maps and matters" in 2024. Thank you for trying, using, or following; keep it going in 2025. Happy New Year! 🤶🎅🏿🎄
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The moment the new feature is ready for deployment 😉 #Mapflow #frontend
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This week #Geoalert team meets in Tashkent for internal talks and work. Next week we will host a Demo day for our partners and guests.
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While there is a constantly growing number of publications about the integration of large models (#LLMs, Visual language models) with spatial apps—both academic and marketing 😎 — we added our two bits from solving real business cases.
Next time you see a lot of comments under another LinkedIn post featuring #geoai and #arcgis as a game changer of this integration, take a deep breath and remind yourself about hitting the target. 😃