machine learning

Flood susceptibility map from Tehran et al., 2015.

GIS and Innovations in Machine Learning

Machine learning or artificial techniques has been rapidly transforming many areas related to GIS and spatial applications

Estimates of per capita consumption in four African countries. Stanford researchers used machine learning to extract information from high-resolution satellite imagery to identify impoverished regions in Africa. (Image credit: Neal Jean et al.)

Using Machine Learning to Map Poverty from Satellite Imagery

by Elizabeth Borneman

Satellite images are now being used to map poverty levels around the world using machine learning used to analyze specific poverty data using a convolutional neural network.