Google Earth Engine

Date and Time: 
2013 Mar 11th @ 9:00am
ML-132 Main Seminar, FL1-2198 EOL Atrium and CG1-1214 North Auditorium
Tyler Erickson

The Google Earth Engine platform is a system designed to enable petabyte-scale, scientific analysis and visualization of geospatial datasets. Earth Engine provides a consolidated environment including a massive data catalog co-located with thousands of computers for analysis. The user-friendly front-end provides a workbench environment to allow interactive data and algorithm development and exploration and provides a convenient mechanism for scientists to share data, visualizations and analytic algorithms via URLs.

The Earth Engine data catalog contains a wide variety of popular, curated datasets, including the world's largest online collection of Landsat scenes (> 2.0M), numerous MODIS collections, and many vector-based data sets. The platform provides a uniform access mechanism to a variety of data types, independent of their bands, projection, bit-depth, resolution, etc..., facilitating easy multi-sensor analysis. Additionally, a user is able to add and curate their own data and collections.

Using a just-in-time, distributed computation model, Earth Engine can rapidly process enormous quantities of geo-spatial data. All computation is performed lazily; nothing is computed until it's required either for output or as input to another step. This model allows real-time feedback and preview during algorithm development, supporting a rapid algorithm development, test, and improvement cycle that scales seamlessly to large-scale production data processing.

Through integration with a variety of other services, Earth Engine is able to bring to bear considerable analytic and technical firepower in a transparent fashion, including: AI-based classification via integration with Google's machine learning infrastructure, publishing and distribution at Google scale through integration with the Google Maps API, Maps Engine and Google Earth, and support for in-the-field activities such as validation, ground-truthing, crowd-sourcing and citizen science though the Android Open Data Kit.

Speaker Description: 

Dr. Tyler Erickson is Senior Developer Advocate on the Earth Engine team at Google. In this role he works with scientific organizations to demonstrate the capabilities of Google's geospatial tools for managing, analyzing, and visualizing geospatial datasets, and to guide the development of new features to meet the needs of scientific communities. Prior to joining Google he worked in academia as a research scientist, specializing in applying modern open source geospatial information technologies to the analysis of environmental datasets. Dr. Erickson is a former University of Colorado INSTAAR researcher (Ph.D. 2004), where he worked with Prof. Mark Williams on the geostatistical analysis of snow distribution.

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