geebeam
  • Getting Started
  • Output Types
  • Scaling up with Dataflow
  • EE’s 50 MB per-request limit
  • API Reference
geebeam
  • geebeam Documentation
  • Edit on GitHub

geebeam Documentation

geebeam is a Python package for building geospatial training datasets from Google Earth Engine.

Contents

  • Getting Started
    • What is geebeam?
    • Prerequisites
    • Installation
    • Authentication
    • Step 1: Define the image you want
    • Step 2: Run the pipeline
    • Step 3: Inspect the output
    • Step 4. Adding a second image
    • What’s next
    • Get Help / Contribute
  • Output Types
    • GeoTIFF (default)
    • WebDataset
    • TensorFlow Datasets
    • TFRecord
  • Scaling up with Dataflow
    • Some DataFlow Gotchas
  • EE’s 50 MB per-request limit
  • API Reference
    • geebeam
      • Submodules
        • geebeam.pipeline
          • Functions
          • Module Contents
            • run_pipeline()
            • sample_and_run_pipeline()
            • grid_and_run_pipeline()
        • geebeam.sampler
          • Functions
          • Module Contents
            • sample_region_random()
            • sample_region_grid()
            • split_sets()

Note

This project is under active development.

Next

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