Introduction to Google Earth Engine – II

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Google Earth Engine (GEE) combines a multi-petabyte catalog of satellite imagery and geospatial datasets with planetary-scale analysis capabilities. The instant availability of data, massive compute power, and well-developed API make it a very convenient and powerful platform for geospatial analysis.

GEE provides native APIs in JavaScript and Python. However, recently the user community has developed a package “rgee (https://github.com/r-spatial/rgee)” that allows R users to interact with GEE (via reticulate and Python) and utilize its functionalities.

This workshop will focus on using R (the “rgee” package) to interface with GEE and utilize its power for ultra-fast geospatial analysis. You should attend the first workshop on November 18, if you are new to GEE.

Some familiarity with remote sensing and GIS, and exposure to raster and vector data analysis will be helpful.  You will need to register (free) at signup.earthengine.google.com with Google to use the Earth Engine. Please use your UM email account to register.

Introduction to Google Earth Engine – I

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Google Earth Engine (GEE) combines a multi-petabyte catalog of satellite imagery and geospatial datasets with planetary-scale analysis capabilities. The instant availability of data, massive compute power, and well-developed API make it a very convenient and powerful platform for geospatial analysis.

GEE provides native APIs in JavaScript and Python. However, recently the user community has developed a package “rgee (https://github.com/r-spatial/rgee)” that allows R users to interact with GEE (via reticulate and Python) and utilize its functionalities.

The two hands-on workshops will introduce GEE and show how to leverage its capacity for spatiotemporal analysis and visualization in R. The first workshop (November 18) is an introduction to GEE and we will primarily use JavaScript API to learn the basics of GEE. The second workshop (November 22) will focus on using R (the “rgee” package) to interface with GEE and utilize its power for ultra-fast geospatial analysis.

Some familiarity with remote sensing and GIS, and exposure to raster and vector data analysis will be helpful.  You will need to register (free) at signup.earthengine.google.com with Google to use the Earth Engine. Please use your UM email account to register.

Geospatial analysis with Google Earth Engine

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Google Earth Engine (GEE) combines a multi-petabyte catalog of satellite imagery and geospatial datasets with planetary-scale analysis capabilities. This workshop will provide an introduction to GEE. We will cover data models in GEE, basic vector and raster operations, and classification in both feature and image space.

You should be familiar with vector and raster data, GIS and remote sensing. We will use the web-based IDE for the Earth Engine JavaScript API. You will need to register (free) at signup.earthengine.google.com with Google to use the Earth Engine.