Testing GEO-AI Tools: Building Footprint Extraction in ArcGIS Pro for Disaster Relief

Dr. Jason VanHorn shows how to implement the GEO-AI Building Footprint Extraction tool for land imagery in ArcGIS Pro. Using the Maxar Disaster Relief Open Source Data, he test various GEOAI tools in ArcGIS Pro to see how well they perform. The tools are promising, but Deep Learning training is necessary to see higher performance extraction.
1. Maxar Open Data Program - www.maxar.com/open-data/
2. Deep Learning Libraries for ArcGIS Pro - github.com/Esri/deep-learning...
Calvin University Master's in GIS - calvin.edu/academics/departme...

[@ThomasGirdwood-ej1fx]

Incredible content! Thank you for sharing. I will use a similar workflow for tree canopy extraction in the near future. This is super helpful.

[@justinquarshie5732]

Why didn’t you pick your own training samples to use in the model?
I realized that the model for Africa was based on a particular country which means not for all Africa per se, so I think you need to do some modification to the training data, thank you

[@MapYoda]

Since ESRI built predefined models to use, I wanted to test those. Their help files show strong results for imagery 10-40cm, 8 bit unsigned, three bands, which the open access disaster Maxar data has, so I wanted to see if results were good out of the box, as ESRI said should be. I agree 100%, you have to train to get the best results. I was hoping for good things from the pretrained models, but so far they appear limited. Thanks for you comment.

[@justinquarshie5732]

Good work 😄