Geoint is live!
Today is International GIS Day, and we’re taking the opportunity to soft-launch a service that, in just a few minutes, shows whether your idea can be realised using AI trained on laser data:
ml.geoint.se
Today is International GIS Day, and we’re taking the opportunity to soft-launch a service that, in just a few minutes, shows whether your idea can be realised using AI trained on laser data:
ml.geoint.se
November 19, 2025 at 3:09 PM
Geoint is live!
Today is International GIS Day, and we’re taking the opportunity to soft-launch a service that, in just a few minutes, shows whether your idea can be realised using AI trained on laser data:
ml.geoint.se
Today is International GIS Day, and we’re taking the opportunity to soft-launch a service that, in just a few minutes, shows whether your idea can be realised using AI trained on laser data:
ml.geoint.se
Vacation from my research role gives me more time for side-projects
July 5, 2025 at 2:50 PM
Vacation from my research role gives me more time for side-projects
My landscape cubes now have a modelled groundwater level. Excited to see what my 3D-CNN can learn from this.
May 27, 2025 at 5:40 PM
My landscape cubes now have a modelled groundwater level. Excited to see what my 3D-CNN can learn from this.
I have now added the color from IR imagery into my "landscapecubes". Now working to add groundwater under the DEM surface and then I need to figure out a way to encode logic in my 3D-CNN. For example geographical location or runoff data.
April 1, 2025 at 7:27 AM
I have now added the color from IR imagery into my "landscapecubes". Now working to add groundwater under the DEM surface and then I need to figure out a way to encode logic in my 3D-CNN. For example geographical location or runoff data.
I am running some deep-learning models on voxel cubes of remote-sensing data instead of images to map soil moisture. It works but is quite demanding. So far, I have built a proof of concept in Tensorflow using 3D convolutions. Do you have any good advice for me?
March 7, 2025 at 6:37 AM
I am running some deep-learning models on voxel cubes of remote-sensing data instead of images to map soil moisture. It works but is quite demanding. So far, I have built a proof of concept in Tensorflow using 3D convolutions. Do you have any good advice for me?
When extracting streams from high-resolution digital elevation models, road culverts can be a pain. I explored an approach where a residual attention UNet was used to identify and breach road culverts, utilising ALS data and orthophotos. It works but produces a fair amount of false positives.
January 11, 2025 at 12:19 PM
When extracting streams from high-resolution digital elevation models, road culverts can be a pain. I explored an approach where a residual attention UNet was used to identify and breach road culverts, utilising ALS data and orthophotos. It works but produces a fair amount of false positives.