buildings classified

Identifying buildings on medium resolution Satellite data using Monteverdi software

This is the final part in a series on using Planet’s Open California dataset. I’ve summarised it all here. Detailed mapping of building footprints is fast becoming one of the key challenges/uses for very high spatial resolution Earth Observation data today. Being able to accurately acquire these footprints remotely and at speed is where the Read more about Identifying buildings on medium resolution Satellite data using Monteverdi software[…]

svm satellite

Support Vector Machines – on recognizing pixel clusters in satellite data

Scikit-learn, the machine learning library built for Python over 10 years ago is an excellent resource for estimating data and can integrate into geospatial workflows. Helpfully, when choosing an estimator, scikit-learn supplies an interactive diagram to choose the best estimator for the job. One of the big things about machine learning is the need to Read more about Support Vector Machines – on recognizing pixel clusters in satellite data[…]