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Why is this shift?
Mapbox Satellite vs Google.
Send us your answer to [email protected]
We will post solution the next day and top up your Mapflow account if your answer is right. 😁 🧑🎓 #GeoQuiz
Mapbox Satellite vs Google.
Send us your answer to [email protected]
We will post solution the next day and top up your Mapflow account if your answer is right. 😁 🧑🎓 #GeoQuiz
We've implemented the billing (processing) history into the User Profile section. It's the first iteration enabling you to search across your processings by the period of time. Next, it will be extended with the functionality to select the dates and download the billing report for those who are subscribed to the commercial plans.
#Mapflow #Updates
#Mapflow #Updates
Geoalert Blog
Why is this shift? Mapbox Satellite vs Google. Send us your answer to [email protected] We will post solution the next day and top up your Mapflow account if your answer is right. 😁 🧑🎓 #GeoQuiz
The correct answer to the last #GeoQuiz (and we got the only one approximately correct to our email) is:
This is some territory in mainland China 🇨🇳 as you may check by coordinates on the image.
And all the maps in China (accordingly to the Chinese laws) are transformed to some secret local coordinate system. 😎
The difference between Mapbox and Google is because only Google transforms their maps to Chinese CRS.
The interesting fact is also that Hong Kong doesn't apply these rules.
This is some territory in mainland China 🇨🇳 as you may check by coordinates on the image.
And all the maps in China (accordingly to the Chinese laws) are transformed to some secret local coordinate system. 😎
The difference between Mapbox and Google is because only Google transforms their maps to Chinese CRS.
The interesting fact is also that Hong Kong doesn't apply these rules.
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We started working on the #benchmarking project the goal of which is to test #Mapflow models on different sites and patterns across the Globe.
The benchmark locations are based on the statistics of Mapflow usage - the more frequently processed areas.
We will share updates soon.
The benchmark locations are based on the statistics of Mapflow usage - the more frequently processed areas.
We will share updates soon.
We've come across a picture of aerial image embroidery (source) and got curious: what would the neural network see here?
After masking and generating the georeference (at spatial resolution of 2.6 m per pixel) we could process it with the #Forest model at Mapflow.ai. Not bad, what do you think?
Maybe #AI still can't admire the beauty, but it certainly approves that this is a very realistic piece of art! ❤️
After masking and generating the georeference (at spatial resolution of 2.6 m per pixel) we could process it with the #Forest model at Mapflow.ai. Not bad, what do you think?
Maybe #AI still can't admire the beauty, but it certainly approves that this is a very realistic piece of art! ❤️
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Online payments in #Mapflow is back! 🎉🥳
Thanks to integration with #Payze we restored the option to top up the user balance in credits.
Here you go to check the updated user profile in case you are running out of credits for Mapflow.
BTW If you are interested in premium satellite images or extended support you are welcome to subscribe to one of our commercial plans.
Thanks to integration with #Payze we restored the option to top up the user balance in credits.
Here you go to check the updated user profile in case you are running out of credits for Mapflow.
BTW If you are interested in premium satellite images or extended support you are welcome to subscribe to one of our commercial plans.
Geoalert September Newsletter 🍁
#Know-How? Pan imagery
Panchromatic satellite image looks greyscale as it uses a single band for a greater spatial resolution. Pan-sharpening is a data fusion technique when the pan image is combined with a low-resolution multispectral image to achieve a higher resolution while preserving all spectral attributes.
The segmentation neural network is basically indifferent to pan-image if it's trained in an appropriate way of augmentation. E.g. the building footprints extraction model works good enough on panchromatic images as it used to be on RGB.
Sometimes you just don't have the actual RGB image. E.g. in #Maxar satellites, they have the WorldView-1 that carries only a panchromatic image sensor.
However, when it comes to more sophisticated and not-so-universal algorithms as a classification by building types - it's better not to use panchromatic instead of RGB as the model is trained on the color images and is used to more features.
#Know-How? Pan imagery
Panchromatic satellite image looks greyscale as it uses a single band for a greater spatial resolution. Pan-sharpening is a data fusion technique when the pan image is combined with a low-resolution multispectral image to achieve a higher resolution while preserving all spectral attributes.
The segmentation neural network is basically indifferent to pan-image if it's trained in an appropriate way of augmentation. E.g. the building footprints extraction model works good enough on panchromatic images as it used to be on RGB.
Sometimes you just don't have the actual RGB image. E.g. in #Maxar satellites, they have the WorldView-1 that carries only a panchromatic image sensor.
However, when it comes to more sophisticated and not-so-universal algorithms as a classification by building types - it's better not to use panchromatic instead of RGB as the model is trained on the color images and is used to more features.
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https://www.space.com/crew-5-anna-kikina-first-russian-on-spacex-mission
Space is international and it shows us the way we can live and cooperate on Earth 🌎
Space is international and it shows us the way we can live and cooperate on Earth 🌎
Space.com
1st Russian cosmonaut to launch with SpaceX heads to space station
Anna Kikina just made spaceflight history.