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GeoAnalytics Canada
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GeoAnalytics Canada

Contents:

  • Introduction
  • Getting Started
    • How to use this documentation
    • Working with Earth Observation data in Python
    • Authentication
    • Jupyter Notebooks
    • Desktop VM’s
    • Set Up SSH Keys
    • Remote Connection via VSCode
    • File Browser
    • SpatioTemporal Asset Catalog (STAC)
    • GitLab
    • Pipelines
    • Dask
  • Real World Examples
    • Accessing and Downloading Data
    • NDVI with Sentinel-2 and Dask
    • NDSI with MODIS and Dask
    • NDMI with Landsat 8 Dask
    • Change Detection
  • Scientific Workflows
    • Daily NDSI Average Pipeline
    • K-Means Land Classification with Dask
    • Compositing Rasters with Dask
    • Adding data to the Geoanalytics STAC server
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Scientific Workflows#

This section includes start-to-finish workflows that you would typically see in real-world situations when using GEOAnalytics Canada.

  • Daily NDSI Average Pipeline
  • K-Means Land Classification with Dask
  • Compositing Rasters with Dask
  • Adding data to the Geoanalytics STAC server
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Daily NDSI Average Pipeline
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Change Detection
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