Research on climate-change, ecosystem modeling, and environmental and natural resources monitoring is based on the collection, management, analysis, and dissemination of geospatial data. The amount of geospatial data has exploded in recent years, primarily with the availability of open satellite datasets (such as Landsat and Sentinel satellites).
While more data is usually a good thing, users now cannot use their local computers to find, access, and use the wealth of data now available. This is where GEOAnalytics Canada comes in: we apply powerful cloud-computing technologies to enable earth-science analytics at-scale.
How to use this documentation#
This documentation is made as a series of Jupyter Notebooks that you can copy (or git clone) to follow-through interactively. To see how to set this up, follow the instructions here
Overview of our Documentation#
The GEOAnalytics Canada documentation is organized into sections consisting of all tutorials and guides, from getting started with the platform, to step-by-step workflow examples. Click the card below that’s most relevant to your needs!
The Basics. If you’re new to GEOAnalytics Canada, start here. These tutorials are designed to introduce you to the most important features of GEOAnalytics Canada.
Real World Examples
Common Use Cases. Practical single use-case examples of problems typically see in a real world situation.
End-to-End Pipelines. Practical step-by-step example workflows from start to finish that you would typically see in a real world situation.
Already know what you’re looking for?#
Navigate directly to any of our pages using the Table of Contents or the Search function on the left sidebar.
- Getting Started
- Real World Examples
- Scientific Workflows