AI Use Case

Identify with satellite imagery areas of need for targeted support

Use satellite imagery to identify areas that need the most support and assistance due to lower levels of development or emerging agricultural issues (e.g. poor harvests)



Operational Support - Situational awareness,Data - Geo-coding of data

Case Studies

Stanford University~Stanford University’s Department of Earth System Science identified the most poverty-stricken regions in parts of Africa using machine analysis of satellite imagery,"United Nations~The United Nations, World Bank and ICRC aim to eliminate famine using machine learning ",University of Technology Sydney (UTS) ~University of Technology Sydney develops deep learning-enabled UAV to save swimmers from sharks ,Alto Data Analytics~Alto Data Analytics identifies and evaluates unsafe sanitation around the world with image recognition technology,Stanford University~Stanford University scientists identify 50% more solar installations than any previous survey with the use of deep learning,Descartes Labs~Researchers at Descartes Labs create maps of cities' urban tree canopy using machine learning,Columbia University~Scientists at Columbia University track surviving tree species during forest hurricanes hurricanes in aerial photographs using machine learning


Public And Social Sector


Data Sets


AI Technologies

Machine Learning (ML),Product - Data Capture - Plane and Satellite Imagery,ML Task - Prediction - Annotation,Product Type - Vision ,ML Task - Prediction - Binary Classification,ML Task - Prediction - Multi-class Classification

Potential Vendors

Alto Data Analytics