Presenters-0628: Difference between revisions
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P.S I recommend using a personal account :) you get to keep it | P.S I recommend using a personal account :) you get to keep it | ||
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|Working group member=Marine Working Group, Terrestrial Working Group, Coastal Working Group, Education and Knowledge Transfer (EKT) Working Group, Cyberinformatics and Numerics Working Group, Hydrology Focus Research Group, Chesapeake Focus Research Group, Critical Zone Focus Research Group, Human Dimensions Focus Research Group, Geodynamics Focus Research Group, Ecosystem Dynamics Focus Research Group, Coastal Vulnerability Initiative, Continental Margin Initiative, Artificial Intelligence & Machine Learning Initiative, Modeling Platform Interoperability Initiative, River Network Modeling Initiative | |Working group member=Marine Working Group, Terrestrial Working Group, Coastal Working Group, Education and Knowledge Transfer (EKT) Working Group, Cyberinformatics and Numerics Working Group, Hydrology Focus Research Group, Chesapeake Focus Research Group, Critical Zone Focus Research Group, Human Dimensions Focus Research Group, Geodynamics Focus Research Group, Ecosystem Dynamics Focus Research Group, Coastal Vulnerability Initiative, Continental Margin Initiative, Artificial Intelligence & Machine Learning Initiative, Modeling Platform Interoperability Initiative, River Network Modeling Initiative | ||
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Latest revision as of 13:48, 17 January 2024
CSDMS 2024: Coastlines, Critical Zones and Cascading Hazards: Modeling Dynamic Interfaces from Deep Time to Human Time
Introduction & Building with Google Earth Engine: Batteries Included
Abstract
Google Earth Engine(GEE) is a multi-petabyte catalog of satellite imagery and geospatial datasets with planetary-scale analysis capabilities. Now imagine all you need to work on it is a browser and an internet connection. This hands-on workshop will introduce you to and showcase cloud-native geospatial processing.
We will explore the platform’s built-in catalog of 100+ petabytes of geospatial datasets and build some analysis workflows. Additional topics will also include uploading & ingesting your own data to Google Earth Engine, time series analysis essential for change monitoring, and data and code principles for effective collaboration. The hope is to introduce to cloud native geospatial analysis platform and to rethink data as we produce and consume more.
If you want to follow along, bring your laptops, and register for an Earth Engine account here https://signup.earthengine.google.com
P.S I recommend using a personal account :) you get to keep itPlease acknowledge the original contributors when you are using this material. If there are any copyright issues, please let us know (CSDMSweb@colorado.edu) and we will respond as soon as possible.
Of interest for:
