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.

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.

🚀 We’ve published the Mapflow CLI tool!

It’s designed for those who interact with the #Mapflow API using #Python — perfect if you’re automating data pipelines or processing large sets of imagery.

Actually we were asked by users how to run automated data workflows with the API — and we were surprised to learn that some companies still do this manually! So here’s what the CLI can do for you:

👉 Data handling: No need to upload images one by one — just point the script to your local folder.

👉 Processing automation: Select a collection, run a model over its full extent or a specific polygon within

Note that as you have your images stored in the Mapflow My Imagery you can rename them, link to another collection - these operations can be done independently to organise your data.

We wrapped up some other methods considered to be useful, such as getting the list of available models with:

python -m scripts.processing models

With the Mapflow CLI, you can fully automate and streamline your analytical workflows.
If you spot a missing method or have a suggestion — we welcome contributions and feedback!

🔹🔹 Install mapflow CLI from the repo🔹🔹

BTW If you need our help with customization or implementation of Mapflow API methods - let's chat.

🔸Read more about Mapflow API
🔸See also – Mapflow My Imagery

A little late for #30DayMapChallenge - My Data, but sharing our #Mapflow usage statistic for last month.

The trends of the usage by countries and the low level data - which it the number of imagery analysis processings made by Mapflow users displayed on the global map.

For the data we use Postgres/Postgis and for the statistics and charts we use Apache Superset.

(In Russian) Мы давно планировали и недавно завершили интеграцию данных Роскосмоса. Эти снимки наиболее релевантны для территории России. Два спутника, данные которых доступны для анализа с помощью моделей Mapflow, обеспечивают высокую производительность ДЗЗ. Проверить наличие снимков можно через поиск на портале провайдера или прямо в сервисе #Mapflow.

Как работает поиск:

1. Загрузите или нарисуйте область интереса.

2. Выберите данные — можно выбрать часть области, а оставшуюся сохранить в режиме поиска и получать уведомления о появлении новых снимков прямо на платформе.

Как запустить обработку:

3. Выберите подходящий снимок.

4. Перейдите к выбору модели и параметров, затем запустите анализ.

Качество этих данных уступает коммерческим источникам вроде Mapbox или ArcGIS, однако они позволяют работать с более свежими или историческими снимками. Если вам нужен доступ к этим данным — свяжитесь с нами, чтобы подключить провайдера (доступен в тестовом режиме).