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Short #GeoQuiz
What kind of place is in this satellite image?
Upcoming releases – new building model
We are preparing the release of the new building segmentation model. The work is in the active testing phase – using testing areas to calculate metrics and visually assess the new model performance on different construction patterns across the Globe.
Join our beta-testing in progress for early access to the new model and rate the results with the #Mapflow rating tool.
We'd appreciate your feedback! You only need to send us your email which is registered for the Mapflow account.
https://geoalert.io/?subject=Beta#contacts
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Street textures in North #India, Haldwani. #Roads model, Mapflow.
User #feedback
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Close to the end of this year Andrey and Rustam joined out team in #Tashkent 👏
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Looking back at the past year 2022 we decided to write about Mapflow users' feedback ⭐️
To tell the truth we underestimated how insightful this feedback could be. We commit not to leave the free users’ feedback unresponded and will do our best to suggest the solution in case of the issues.
Take a look into our Mapflow feedback research.
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At the beginning of the year, we looked back to highlight some milestones in our company life, business, and product development.
We’re thankful to our customers, partners, and users for their inspiration, feedback, and support.
Read the story...
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There is some similarity between these two images.
However the first is captured by Korean Moon satellite with the super sensitive ShadowCam capable of imaging permanently shadowed regions, and the second one is presenting the bomb craters in the area near Bakhmut, and captured by Maxar Earth Observation satellite.
Someone learns the Moon and here they still strive to destroy our Planet turning it into the moon desert.
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To our previous #GeoQuiz
Of course it's a Christmas tree plantations. Compare the normal growth trees and the small ones.
Specifically this place is the Whitehouse Christmas Farm in Ohio, US. 🎄
#GeoQuiz No.7

1) What kind of agricultural lands are in this image?
2) Can you guess what are these rounded marks in the crop fields?

Send us your answers to [email protected]. As usual, we are ready to award you with the free credits for Mapflow.
🎆 We've moved to the self-hosted #Mapflow #authorization server. We've been using Auth0 which is a great platform. However, it's the crucial to fully control this infrastructure for further development.
⚠️ If you are a current Mapfow user - don't worry. Your account will be safe. You will be asked to renew your password by the next login.
Reach out to us if you have any questions or issues at
[email protected]
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Geoalert became a partner of Open Data Challenge which is taking place in #Tashkent, Uzbekistan on 27-29 January 2023. (https://datahack.uz/en.html)
This event is organised by IT PARK Uzbekistan, OSCE, and Virtual Group to develop a professional IT and data community, competencies, and realize the social and economic potential of state and municipal open data.

We will provide the participants with the open mapping datasets generated by #Mapflow AI as well as with mentorship guidance regarding the leverage of Geospatial imagery, basemaps and GIS and AI tools for the various types of applications.
Good luck to all participants! 🤚
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Компания Geoalert стала партнером Хакатона «Open Data Challenge» - это ежегодный хакатон по разработке решений с использованием открытых данных, который проводится в Ташкенте.

Организаторами мероприятия выступают IT-парк, OSCE (Organisation for Security and Cooperation in Europe) и ИТ компания Virtual Group.
Цели мероприятия, которое пройдет в офлайн формате в течение 72 часов:
- развитие профессионального сообщества в предметной области;
- реализация социального и экономического потенциала государственных и муниципальных открытых данных;

Наша компания предоставит для участников хакатона датасеты геоданных, полученные с помощью платформы обработки #Mapflow AI, а также менторскую поддержку по работе с геоданными и инструментами обработки и пространственного анализа, в контексте различных приложений. Удачи всем участникам! 🤚
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From #Mapflow users #feedback - 5 stars 👍
New #Forest model. Western Australia. 📍
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We started a new repository containing the links to the geospatial datasets for Uzbekistan to support the participants of #OpenDataHack. #kontur population, #Geoalert Buildling footprints, #Geoalert construction detections - Tashkent, #MS Building footprints and more. We've also set up a special promocode for participants to top up their balance in #Mapflow – in case they will have to generate more data and analyse other territories.
https://github.com/Geoalert/OpenDataHack
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Next update of #Forest detection model is coming. More precise vegetation boundaries and more detailed objects. Some bugs in the previous model were fixed. Stay tuned for the update. 🌲🌲🌲
Place - Luecke Farm, Texas, US. Image source - Mapbox Satellite, Model - Mapflow Forest Detection
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2025/10/03 08:41:59
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