Remote Sensing

Machine learning can be applied to remote sensing data to infer climate-relevant information such as global greenhouse gas emissions, building footprints, solar panel locations, or occurrences of deforestation. Some general-purpose remote sensing datasets are listed below.

Public datasets

 * United States Geological Survey
 * Copernicus (Sentinel satellites)
 * NASA Worldview
 * Google Earth (permission needed for research use)

Commercial datasets


 * DigitalGlobe (up to 31cm resolution)
 * Planet (up to 72cm resolution)

Public datasets

 * Copernicus (Sentinel satellites)
 * BigEarthNet (Sentinel satellites)

Commercial datasets

 * Digital Globe
 * Planet

Public datasets

 * United States Geological Survey (Hyperion data)

Street view datasets

 * OpenStreetMap