machine learning


GIS Industry

The map shows the potential breeding habitats of the black-necked crane. From Han et. al, 2017.The map shows the potential breeding habitats of the black-necked crane. From Han et. al, 2017.

GIS and Machine Learning for Habitat Protection

GIS Industry

With gains in computational power and accessibility to off the shelf models, often used in commercial or open source software, applying machine learning techniques with GIS has become far easier for conservation and habitat specialists.

Spatial Analysis

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.)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

Spatial Analysis

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.