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USGS - science for a changing world

Mapping Land-Use, Hazard Vulnerability and Habitat Suitability Using Deep Neural Networks


Deep learning is a computer analysis technique inspired by the human brain’s ability to learn. It involves several layers of artificial neural networks to learn and subsequently recognize patterns in data, forming the basis of many state-of-the-art applications from self-driving cars to drug discovery and cancer detection. Deep learning represents a paradigm shift in the analysis of large, complicated data, and is the fastest-growing trend in the analysis of physical, geological, and biological data. Deep neural networks are capable of learning many levels of abstraction, and thus outperform many other types of automated classification algorithms. This project will develop software tools, resources, and training workshops that will [...]


Principal Investigator :
Jonathan Warrick
Cooperator/Partner :
Christopher R Sherwood, Paul E Grams, Daniel D Buscombe, Jenna A Brown

Project Extension



  • Community for Data Integration (CDI)



Data source
Input directly

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