This presentation is online at
https://goo.gl/NJx9Ev. The volume of satellite and other Earth data is growing rapidly, as is the urgent demand for information that can be derived from such data to inform decisions in a range of areas including food and water security, disease and disaster risk management, biodiversity, and climate change adaptation. Google’s platform for planetary-scale geospatial data analysis, Earth Engine, grants access to petabytes of continually updating Earth and climate data, programming interfaces for analyzing the data without the need to download and manage it, and mechanisms for sharing the analyses and publishing results for data-driven decision making. This talk will describe Earth Engine and other Google tools and planetary-scale examples such as global monitoring of forest loss and gain and global surface water availability. On a more local scale, multiple sources of data can be combined and deep stacks of temporal imagery analyzed to estimate crop yield, and malaria risk.
