Mapflow QGIS plugin v1.7.0 is released and published in official plugins repository!
The changes are not so dramatic, but it will make your experience more fulfilling as we have fixed some annoying bugs.
The most visible update is the data providers tab: it was reworked for better management of your own tile-based links, including your own #Maxar #SecureWatch subscriptions.
👉 Relaunch your QGIS to update the plugin.
The changes are not so dramatic, but it will make your experience more fulfilling as we have fixed some annoying bugs.
The most visible update is the data providers tab: it was reworked for better management of your own tile-based links, including your own #Maxar #SecureWatch subscriptions.
👉 Relaunch your QGIS to update the plugin.
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Quiz.jpg
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#GeoQuiz No.8
#satelliteimagery #urbanforest
🌍 For real travelers!
How many cities can you recognize?
Send us your answers to [email protected]. As usual, we are ready to award you with free #Mapflow credits for research activities.
#satelliteimagery #urbanforest
🌍 For real travelers!
How many cities can you recognize?
Send us your answers to [email protected]. As usual, we are ready to award you with free #Mapflow credits for research activities.
How you can get started with the open data by #Maxar using #QGIS.
This post was written in the context of the devastating #earthquake in Turkey and Syria.
This post was written in the context of the devastating #earthquake in Turkey and Syria.
Medium
How you can use Mapflow-QGIS to leverage the search for the open data by MAXAR
MAXAR keeps on publicly releasing imagery of the affected areas to support response efforts — see their last publications following the…
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We got the new urban study powered by the #Mapflow #Forest vegetation detection technology.
Andrey Pirogov - a dedicated geographer - studied 5 cities in Central Asia: #Almaty, #Bishkek, #Tashkent, #Ashgabad, and #Dushanbe - which one is the greenest one approved by #EarthObservation and #AI-#mapping? 🍃
Note that only imagery basemaps were used and vegetation was not perfect in all case studies.
This is also important that all data samples were published in our open data repository on Github.
Andrey Pirogov - a dedicated geographer - studied 5 cities in Central Asia: #Almaty, #Bishkek, #Tashkent, #Ashgabad, and #Dushanbe - which one is the greenest one approved by #EarthObservation and #AI-#mapping? 🍃
Note that only imagery basemaps were used and vegetation was not perfect in all case studies.
This is also important that all data samples were published in our open data repository on Github.
Medium
The greenest city centers in Central Asia
Central Asia is an inner arid region extending from the Caspian Sea to the border of western China. The region comprises the countries of…
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We'd like to support the volunteer mapping during the #Turkey-#Syria #earthquakes aftermaths and recovering efforts.
❗️To this end we published all the images from #Maxar Open data to make them available to distribute from our tile server. As it seems to be the gap between the mapping tasks and the integration of satellite imagery updates into the mapping applications or GIS.
The difference is that we distribute these images by scenes (not by chunks) using our XYZ tile server, which can be connected to any GIS, #RapID #Openstreetmap, #Mapflow-#QGIS, whatsoever. The scenes are collected by Image IDs - this is the common and interoperable way to distribute satellite images.
👉 Find the list of all URLs to our server (and to the files on AWS, published by Maxar).
❗️ If you are helping in volunteer mapping and want to apply Mapflow AI to detect buildings in the affected areas - please reach out to us at [email protected]
❗️To this end we published all the images from #Maxar Open data to make them available to distribute from our tile server. As it seems to be the gap between the mapping tasks and the integration of satellite imagery updates into the mapping applications or GIS.
The difference is that we distribute these images by scenes (not by chunks) using our XYZ tile server, which can be connected to any GIS, #RapID #Openstreetmap, #Mapflow-#QGIS, whatsoever. The scenes are collected by Image IDs - this is the common and interoperable way to distribute satellite images.
👉 Find the list of all URLs to our server (and to the files on AWS, published by Maxar).
❗️ If you are helping in volunteer mapping and want to apply Mapflow AI to detect buildings in the affected areas - please reach out to us at [email protected]
Google Docs
Open data by Maxar - Geoalert XYZ links
Disclaimer
Any imagery or data distributed through the Open Data Program is licensed under the Creative Commons Attribution Non-Commercial 4.0 license (CC BY-NC 4.0). This licensing allows for noncommercial use of the information, meaning it can quickly…
Any imagery or data distributed through the Open Data Program is licensed under the Creative Commons Attribution Non-Commercial 4.0 license (CC BY-NC 4.0). This licensing allows for noncommercial use of the information, meaning it can quickly…
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One of the most impressive satellite pictures of the affected areas - the Earth crack in Olucak, Nurdağı, Southeastern Anatolia Region, Turkey (37.17486073, 36.71354923)
You can connect to open Maxar images using the corresponding URL from our tile server.
Find and preview this image in Openaerialmap
You can connect to open Maxar images using the corresponding URL from our tile server.
Find and preview this image in Openaerialmap
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VIEW IN TELEGRAM
🌲 The newly updated Forest detection model is now available for all #Mapflow users!
We fine-tuned the model to provide more precise boundaries and detailed objects in specific areas, like mountains, arid zones, open woodland, etc. Some bugs in the previous model were fixed.
Note that it’s important to use the relevant by season #satellite imagery to obtain the most accurate results. With Mapflow you have instant access to the leading imagery providers and can easily find the most appropriate images.
Thanks to all users who leave their feedback during the beta testing of the updates, we do appreciate it! 🤝
For your inspiration - some studies that have been conducted during the testing of the updated model - “The greenest city centers in Central Asia” ( 👉https://medium.com/geoalert-platform-urban-monitoring/the-greenest-city-centers-in-central-asia-e174c4b06e82).
We are ready to grant additional credits to researchers who use our model for forest preservation projects. Please, contact us for more info.
We fine-tuned the model to provide more precise boundaries and detailed objects in specific areas, like mountains, arid zones, open woodland, etc. Some bugs in the previous model were fixed.
Note that it’s important to use the relevant by season #satellite imagery to obtain the most accurate results. With Mapflow you have instant access to the leading imagery providers and can easily find the most appropriate images.
Thanks to all users who leave their feedback during the beta testing of the updates, we do appreciate it! 🤝
For your inspiration - some studies that have been conducted during the testing of the updated model - “The greenest city centers in Central Asia” ( 👉https://medium.com/geoalert-platform-urban-monitoring/the-greenest-city-centers-in-central-asia-e174c4b06e82).
We are ready to grant additional credits to researchers who use our model for forest preservation projects. Please, contact us for more info.
Our topic was selected for the OpenTalks.ai conference. This year the conference takes place in Yerevan, March 6-7.
Geoalert CTO Alexey Trekin will present on "Case-driven CV in satellite image processing"
> Despite being proven in the image processing field, neural networks still are a tricky tool for cartography. Can we trust the results? What should we do with the errors? Should we rely on selling ready models as a service, or stick to on-demand development?
In this talk I will share some practical cases: how do we derive the model for the particular task and area from the general off-the-shelf model, how do we collaborate with human cartographers and how to handle user's feedback.
We are thrilled to meet old friends and new people in the community. See you in Yerevan!
Geoalert CTO Alexey Trekin will present on "Case-driven CV in satellite image processing"
> Despite being proven in the image processing field, neural networks still are a tricky tool for cartography. Can we trust the results? What should we do with the errors? Should we rely on selling ready models as a service, or stick to on-demand development?
In this talk I will share some practical cases: how do we derive the model for the particular task and area from the general off-the-shelf model, how do we collaborate with human cartographers and how to handle user's feedback.
We are thrilled to meet old friends and new people in the community. See you in Yerevan!
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Green city patterns in Europe
By using Mapbox Satellite basemap and #Mapflow AI, 45 urban green patterns were generated.
From Reykjavik to Valletta, from Dublin to Kyiv, the tree cover for each European capital reflects a unique mix of human-nature interaction.
Download the hi-res PDF from our public repo
By using Mapbox Satellite basemap and #Mapflow AI, 45 urban green patterns were generated.
From Reykjavik to Valletta, from Dublin to Kyiv, the tree cover for each European capital reflects a unique mix of human-nature interaction.
Download the hi-res PDF from our public repo
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We love Uzbekistan for its people and trees so we decided to support projects for social impact.
To this end we launched call to projects for Uzbekistan https://geoalert.io/projects
We are looking forward to supporting developers – how to create maps, tell stories with maps and sometimes even get insights about what is going around in the urban and natural environment.
Within this initiative, we've already started publishing open data and working with teams.
The initiative is supported by our friends from Gisgeo.org where you can find the description in Russian.
To this end we launched call to projects for Uzbekistan https://geoalert.io/projects
We are looking forward to supporting developers – how to create maps, tell stories with maps and sometimes even get insights about what is going around in the urban and natural environment.
Within this initiative, we've already started publishing open data and working with teams.
The initiative is supported by our friends from Gisgeo.org where you can find the description in Russian.
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Turkish independent researchers published an article about the ways they tried to determine the age of the buildings in the areas affected by devastating #earthquakes and how many of them collapsed. As they didn't get any related information from official institutions, they tried remote sources such as satellite imagery, open data and the imagery search and analysis with #Mapflow and described their path. (The article is published in Turkish, use a translator).
> For this, it is an important method to apply the building detection model offered by MapFlow to the satellite images before and after the earthquake and to detect the difference with a geographic information systems software such as QGIS.
> In order to detect the situation before and after the earthquake with the help of artificial intelligence in a meaningful way, we had to have high resolution satellite images. We tried to get the current images via Maxar SecureWatch, where MapFlow works in an integrated way, and we obtained the images from Skywatch, a commercial organization that provides satellite imagery at the point where satellite images are missing.
However, we encountered some difficulties in practice. We have determined that the GeoTIFF files, which are the format of satellite images that are publicly shared from the earthquake-affected area and can be used for analysis, are not of sufficient quality.
> For this, it is an important method to apply the building detection model offered by MapFlow to the satellite images before and after the earthquake and to detect the difference with a geographic information systems software such as QGIS.
> In order to detect the situation before and after the earthquake with the help of artificial intelligence in a meaningful way, we had to have high resolution satellite images. We tried to get the current images via Maxar SecureWatch, where MapFlow works in an integrated way, and we obtained the images from Skywatch, a commercial organization that provides satellite imagery at the point where satellite images are missing.
However, we encountered some difficulties in practice. We have determined that the GeoTIFF files, which are the format of satellite images that are publicly shared from the earthquake-affected area and can be used for analysis, are not of sufficient quality.
teyit.org
Büyüteç: Uydu görüntülerinden depremde yıkılan binaların yapım yılı tespit edilebilir mi? - Teyit
Cumhurbaşkanı Recep Tayyip Erdoğan deprem bölgelerinde yıkılan binaların yüzde 98’inin 1999’dan önce inşa edildiğini iddia etti. Peki uydu görüntüleri gibi açık kaynaklardan, depremde yıkılan binaların yapım yılı tespit edilebilir mi?
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We visited Yerevan for the AI & business conference. It's important to express our gratitude to the organizers for inviting us. Originally it's the largest of the Russian conferences dedicated to the advancements in AI in science as well as the implementation of it into the real business application and the most democratic one. This year the event's venue moved to Armenia, the conference got fewer participants but the same big corporations from Russia, but the spirit of the no-boundary science and digital community is still well spotted there.
BTW we met with our new teammates who came from Tbilisi.
BTW we met with our new teammates who came from Tbilisi.
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🏡 Data + Citizen = Smart City
Every day our #Mapflow AI-Mapping Platform is used to extract urban features from satellite or aerial imagery. There are many uses for these data in city management, yet, every city - this is about people, this is about citizens.
We, at GeoAlert, are involved in different urban projects and try to inspire people to explore the places where they live. It’s really important to have digital tools that help us to collect citizens’ requests and ideas, organize voting and discussion around city development issues.
🗺 One of such tools provides our partner - an emerging startup - Urbanpinion from Estonia. It's a citizen engagement platform that lets you create a landing page with an interactive map in just a few steps. Now you have all info about your project or city neatly organized and can launch a survey or idea portal - collect citizens ideas and votes - and of course, get the basic analytics of all collected ideas.
How does it work? It's simple:
- give the project name
- choose the type of the project
- customize the map
- select the categories of Marks and Routes
- customize logo, description, images, contacts and background in the Editor
It takes just 15 minutes, no extra knowledge or downloadings required. Post the link to your landing page and get useful ideas from your neighbors and other citizens.
🏢 🏗 🚌 So, for whom is Urbanpinion? For people ready to develop their city in the right way - for urban activists, architects, property management companies, real estate companies, ecologists, city administration, transport companies. And Urbanpinion is so much more - it’s not only for participative budgeting or participative design - museums and shopping malls can use it to discuss it’s spaces with visitors, scientists can use it to monitor nature. And so much more…
🌍 It’s really important that with Urbanpinion you can:
- identify problem areas of the territory, as well as the needs of citizens;
- collect ideas for the development of the urban environment or any space;
- organize voting for certain objects, put high-quality analytics into the project, prioritize the budget, discuss masterplan, etc.
Also, Urbanpinion provides additional services - online and offline promotion of the survey or idea portal, moderate comments or ideas, design of promotion materials to involve residents in the project.
Right now Urbanpinion is open to collaborations and invites everyone to try to use the product. You can already register and start using it on app.urbanpinion.com, the instruction is inside the platform.
📣 GeoAlert launches the Urban Data Program for #Urbanpinion users, providing urban researchers or municipality government extra access to the Mapflow Platform and supporting them with our knowledge and expertise. Please, contact us for detailed info.
And more info about our partner: https://urbanpinion.com/
Every day our #Mapflow AI-Mapping Platform is used to extract urban features from satellite or aerial imagery. There are many uses for these data in city management, yet, every city - this is about people, this is about citizens.
We, at GeoAlert, are involved in different urban projects and try to inspire people to explore the places where they live. It’s really important to have digital tools that help us to collect citizens’ requests and ideas, organize voting and discussion around city development issues.
🗺 One of such tools provides our partner - an emerging startup - Urbanpinion from Estonia. It's a citizen engagement platform that lets you create a landing page with an interactive map in just a few steps. Now you have all info about your project or city neatly organized and can launch a survey or idea portal - collect citizens ideas and votes - and of course, get the basic analytics of all collected ideas.
How does it work? It's simple:
- give the project name
- choose the type of the project
- customize the map
- select the categories of Marks and Routes
- customize logo, description, images, contacts and background in the Editor
It takes just 15 minutes, no extra knowledge or downloadings required. Post the link to your landing page and get useful ideas from your neighbors and other citizens.
🏢 🏗 🚌 So, for whom is Urbanpinion? For people ready to develop their city in the right way - for urban activists, architects, property management companies, real estate companies, ecologists, city administration, transport companies. And Urbanpinion is so much more - it’s not only for participative budgeting or participative design - museums and shopping malls can use it to discuss it’s spaces with visitors, scientists can use it to monitor nature. And so much more…
🌍 It’s really important that with Urbanpinion you can:
- identify problem areas of the territory, as well as the needs of citizens;
- collect ideas for the development of the urban environment or any space;
- organize voting for certain objects, put high-quality analytics into the project, prioritize the budget, discuss masterplan, etc.
Also, Urbanpinion provides additional services - online and offline promotion of the survey or idea portal, moderate comments or ideas, design of promotion materials to involve residents in the project.
Right now Urbanpinion is open to collaborations and invites everyone to try to use the product. You can already register and start using it on app.urbanpinion.com, the instruction is inside the platform.
📣 GeoAlert launches the Urban Data Program for #Urbanpinion users, providing urban researchers or municipality government extra access to the Mapflow Platform and supporting them with our knowledge and expertise. Please, contact us for detailed info.
And more info about our partner: https://urbanpinion.com/
Urbanpinion
Citizen engagement platform
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Meet the #Mapflow page on Linkedin. As for the request for a Demo - you know what to do - just text us a message. As many updates are queued up to be released, we will set up your free account with the additional features not available by default.
Mapflow is an image-processing AI-mapping platform that provides ready-to-use ML models and instant access to major global satellite and aerial imagery providers...
Mapflow is an image-processing AI-mapping platform that provides ready-to-use ML models and instant access to major global satellite and aerial imagery providers...
#Tashkent city – vegetation and construction sites detected in high-resolution satellite imagery, as of 2021
Check more about our call to #mapping projects for #Uzbekistan - leverage GIS and AI to make the Urban Planning smarter
https://geoalert.io/projects
Check more about our call to #mapping projects for #Uzbekistan - leverage GIS and AI to make the Urban Planning smarter
https://geoalert.io/projects
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We are launching corporate Team accounts in #Mapflow. 👩💼👨💼
At the first stage, the new functionality will be available by request and provided to our current commercial users, allowing users to create corporate teams, add new members and manage member limits for the Mapflow processing.
Next, we plan to provide this option to any registered user - either he keeps on working as an individual or creates a #Team to collaborate with his colleagues.
At the first stage, the new functionality will be available by request and provided to our current commercial users, allowing users to create corporate teams, add new members and manage member limits for the Mapflow processing.
Next, we plan to provide this option to any registered user - either he keeps on working as an individual or creates a #Team to collaborate with his colleagues.
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