Users' feedback from Madagascar. π²π¬ Thank you to those who share.
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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.
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.
YouTube
Mapflow QGIS 3.2.0
The new Mapflow for QGIS version 3.2.0 is out. The major update is adding the Projects view.
Other updates in 3.2.0:
- Preview imagery collections
- Create AOI from a single image or collection extent
- Confirm before starting processing
- Filter imageryβ¦
Other updates in 3.2.0:
- Preview imagery collections
- Create AOI from a single image or collection extent
- Confirm before starting processing
- Filter imageryβ¦
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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 β 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. Weβre always listening.
We've introduced a new default scenario in Mapflow that combines three models in a single workflow β 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. Weβre always listening.
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Geoalert Blog
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 characteristicsβ¦
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!
crowdcast
Mapflow - QGIS 3.2.0 and multimodal imagery analysis for Landuse
Register now for Mapflow - QGIS 3.2.0 and multimodal imagery analysis for Landuse on crowdcast, scheduled to go live on May 15, 2025, 02:00 PM GMT+3.
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New webinar video is available on our channel. Like it if you find this presentation useful. π
YouTube
2025 05 15 Webinar β Mapflow QGIS 3.2.0 and multimodal imagery analysis for Landuse mapping
We've presented the new version of the Mapflow plugin for QGIS and a new scenario to use all default Mapflow models in a single workflow to analyse and map buildings, roads and vegetation.
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Geoalert #team is growing - we have been joined by Khristina, who'd step into a role as GIS analyst. π€©π©βπΌπ¨βπ»
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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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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.
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.
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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.
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.
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We are looking for CV / ML engineer π₯
What youβll do:
What we expect:
What we offer:
Contact us and send your CV*CV at [email protected]
Help build and deploy computer vision solutions for real-world challenges.
What youβll do:
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
What we expect:
2β3 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
What we offer:
Real product impact
Fast, flexible, and tech-driven team
Fully remote work with cutting-edge tools
Contact us and send your CV*CV at [email protected]
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π Global mosaic updates π₯
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 (0.75β0.5 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.
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 (0.75β0.5 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.
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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.π
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.π
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