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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
When, because of the layers order in QGIS, it looks like a feature map with zero-shot segmentation... (yet the features are the results of segmentation powered by Mapflow)
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🌍 Global mosaic updates 🔥
Starting from June we provide Global mosaic updates by request. Current updates are available to the year 2024. And the more recent imagery is expected to arrive by the end of the year.
The old version of the Global mosaic of high-res imagery (0.75–0.5 m/px) you can try in Mapflow as of the year 2022. Preview is limited to zoom 15.
Note that you can also upgrade your account to access World Imagery, a global coverage composed of high- and medium-resolution #satellite imagery and aerial imagery, hosted by Esri.
From the user' #feedback. Roads in the mountains area, Colombia
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New #QGIS styles for the #Mapflow Forest and Trees global model. Don't forget to update to v.3.2.0 👆
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From the user's #feedback. Using a combo scenario with selected options. (Thanks to those who share their evaluation and leave comments!)
Of course there are inaccuracies in the mapping results that can be fixed manually in a small fraction of time needed to draw all these things from scratch.
Give it a try and share your rating.
Geoalert #team is growing - we have been joined by Khristina, who'd step into a role as GIS analyst. 🤩👩💼👨💻
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New Default #Mapflow Scenario: Combined Mapping of Buildings, Roads, and Vegetation.
We've introduced a new default scenario in Mapflow that combines three models in a single workflow — designed to map buildings, roads, and vegetation all at once. The result is a topology-corrected vector layer that's ready to use.
Simply select the new scenario from the menu and streamline your mapping process.
Give it a try, rate the results and share your feedback. We’re always listening.
Users' feedback from Madagascar. 🇲🇬 Thank you to those who share.
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Search satellite #imagery with Mapflow web app: basemaps and archive metadata. Start analysing basemaps instantly. Ordering of archive images is coming soon.
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Occasional workspace - Geoalert #workation #beyourselfnomatterwhattheysay 🌍
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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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#Constrcutions mapping and change detection
Combining multiple images with Mapflow construction detection enhances change detection for monitoring construction and urban development over time. A potential workflow involves:
- selecting a starting point (e.g., GM 2022, 2023, or 2024) and detecting constructions using Mapflow;
- ordering newer imagery for detailed analysis if the existing mosaic is insufficient.
This allows application of models like Buildings or Vegetation to analyze the context of changes.
Note. We are developing a fully integrated workflow for online image discovery and ordering.👆
We are looking for CV / ML engineer 🔥
Help build and deploy computer vision solutions for real-world challenges.
Train and optimize deep learning models for production
Design data pipelines and manage annotations
Develop pre/post-processing algorithms
Monitor and improve model performance
Write production Python code and collaborate with developers
2–3 years of CV experience
Strong skills in PyTorch, OpenCV, Scikit-image
Experience with detection, segmentation, or depth tasks
Solid ML foundations and problem-solving mindset
Proficiency with Linux, Git, Docker
Real product impact
Fast, flexible, and tech-driven team
Fully remote work with cutting-edge tools
We've updated the #Mapflow Processing API documentation. You can find all processing params in the reference section.
The API methods for running processing with the "data source" have been updated to allow for more specific use based on the type of data source you utilize: the default data provider, a custom data provider specified by a URL, or local images organized in the #imagery collections through Mapflow My Imagery. The older version of the API will still be supported in the meantime.
One application of the new combo scenario is mapping tiny urban areas where there is little to no data in OpenStreetMap and other open sources. As the new settlements pop up, they should be presented visually and included in the topographic plan. Note that you can get the relevant results in a few clicks with the help of Mapflow AI.
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New webinar video is available on our channel. Like it if you find this presentation useful. 👍
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We set the updated date-time for our next #webinar introducing to #Mapflow-#QGIS 3.2.0 and to new default scenario for landuse mapping. Save your spot!
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The new Mapflow for QGIS version 3.2.0 is out. The major update is adding the Projects view. Organising the projects was not so easy for plugin users as they needed to switch between the Settings and Processing tab. Now the Projects are added as nested up-level table - so the plugin's UI looks more similar to the web. User can go up to the Projects table, sort columns and filter projects by name. This feature was primarily requested by those who create multiple projects and use the plugin as the main tool for coordination in the Mapflow teams.
However, it is useful for individual users who have many processings to organise them and group them in Projects. Free users are not limited to the number of Projects. So don't forget to upgrade the plugin at the next launch of QGIS and share your feedback with us. We appreciate it.
Other updates in 3.2.0:
- Preview imagery collections
- Create AOI from a single image or collection extent
- Confirm before starting processing
- Filter imagery search by data provider
https://youtu.be/srFCEiH-YZ0
BTW The music used in the video was written by one of our colleagues.
Hey, join our next #webinar about #Mapflow - multimodal imagery analysis for Landuse mapping.
How to use all default Mapflow AI models in a single workflow to analyse the land use and generate the maps of quasi cartographic visuality? What kind of characteristics of the land use are possible to analyse with the vector output? Learn from this demonstration and Q&A.
We’ve updated #Mapflow web app UI to simplify the process of creating a project. Here’s what’s new:
1. ✅ Set Your Area of Analysis.
We’ve made it easier to define your project’s area of interest (AOI).
At the first step you can draw or upload an AOI polygon, or Upload a GeoTIFF image—the app will automatically calculate the extent, and you can still refine it with an AOI if needed.
This improvement reflects the growing number of users uploading their own data.
2. ✅ Choose Your Data Source (If Not Using Your Own Image)
Select from the following options:
🔘 Imagery Providers: Use default providers integrated with Mapflow.
🔘 Custom URL: Connect your own tile server for seamless integration.
🔘 Historical Data: Search and access commercial imagery available for your AOI.
Whether you rely on our built-in providers, your custom data, or historical archives, the process is now more intuitive and efficient.
Read more in Mapflow documentation or just try it out in the app.
We released the early version of the #ImagerySearch on the Mapflow web app. Now that all our apps, including the Mapflow #QGIS plugin and #API, support Imagery search, we are approaching the enabling of imagery ordering directly from your preferred client app. The imagery search of Chinese imagery is powered by our partners - Orbview 🇸🇬 - for those who want to get and analyse commercial hi-res imagery of any location all over the World.
There are many catalogues of satellite images that maintain the sales workflow.
What sets our solution apart?
🔍 Unified search across multiple satellite image providers
🌏 Access to some of the most affordable high-res imagery on the market
🧩 Designed to support additional providers (e.g., Maxar)
🗺️ Built-in metadata search for imagery basemaps like Global Mosaic and ArcGIS Worldview
The data search is aligned with the Mapflow AI and we are working on getting more data available for instant analysis.
#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.