GeodataFlow (Work in progress)

Toolkit to run workflows on Geospatial & Earth Observation (EO) data.

GeodataFlow is a Python library for fetching, translating and manipulating Geospatial data (Raster, Vector, EO/STAC collections) by using a Pipeline or sequence of operations on input data. It is very much like the GDAL library which handles raster and vector data. This page provides high level overview of the library and its philosophy. Visit docs to list data formats it supports (Readers & Writers), and see Filters for filtering operations that you can apply with GeodataFlow.

In addition to the library code, GeodataFlow provides a command-line application and a REST WebAPI (FastAPI) endpoint that users can conveniently use to process, filter, translate, and query Geospatial data. Applications provide more information on that topic.

GeodataFlow provides as well a Workbench UI designer for users easily draw and run their own workflows.

Developers can extend GeodataFlow with new custom modules as well.

Workflow examples

  • Converting a Shapefile to GeoPackage:

    # ==============================================================
# Pipeline sample to convert a Shapefile to GeoPackage.
# ==============================================================
{
  "pipeline": [
    {
      "type": "FeatureReader",
      "connectionString": "input.shp"
    },
    # Extract the Centroid of input geometries.
    {
      "type": "GeometryCentroid"
    },
    # Transform CRS of geometries.
    {
      "type": "GeometryTransform",
      "sourceCrs": 4326,
      "targetCrs": 32630
    },
    # Save features to Geopackage.
    {
      "type": "FeatureWriter",
      "connectionString": "output.gpkg"
    }
  ]
}

  • Fetching metadata of a S2L2A Product (STAC):

    # ==============================================================
# Pipeline sample to fetch metadata of a S2L2A Product (STAC).
# ==============================================================
{
  "pipeline": [
    {
      "type": "FeatureReader",

      # Define the input AOI in an embedded GeoJson.
      "connectionString": {
        "type": "FeatureCollection",
        "crs": {
          "type": "name",
          "properties": { "name": "EPSG:4326" }
        },
        "features": [
          {
            "type": "Feature",
            "properties": { "id": 0, "name": "My AOI for testing" },
            "geometry": {
              "type": "Polygon",
              "coordinates": [[
                  [-1.746826,42.773227],
                  [-1.746826,42.860866],
                  [-1.558685,42.860866],
                  [-1.558685,42.773227],
                  [-1.746826,42.773227]
              ]]
            }
          }
        ]
      }
    },
    # Fetch metadata of EO Products that match one SpatioTemporial criteria.
    {
      "type": "EOProductCatalog",

      "driver": "STAC",
      "provider": "https://earth-search.aws.element84.com/v0/search",
      "product": "sentinel-s2-l2a-cogs",

      "startDate": "2021-09-25",
      "endDate": "2021-10-05",
      "closestToDate": "2021-09-30",
      "filter": "",

      "preserveInputCrs": true
    },
    # Transform CRS of geometries.
    {
      "type": "GeometryTransform",
      "sourceCrs": 4326,
      "targetCrs": 32630
    },
    # Save features to Geopackage.
    {
      "type": "FeatureWriter",
      "mode": "CREATE",
      "connectionString": "output.gpkg"
    }
  ]
}

Workbench

GeodataFlow Workbench is a javascript application for users easily draw and run their own workflows.

Workbench

Demo videos:

REST WebAPI

GeodataFlow provides a WebAPI based on FastAPI to access to GeodataFlow capabilities via REST calls.

WebAPI

Installation

To install the latest stable version:

> pip install geodataflow[eodag]

From source repository:

> git clone https://github.com/ahuarte47/geodataflow.git
> cd geodataflow
> pip install .

> geodataflow --help
Usage: geodataflow [OPTIONS] COMMAND [ARGS]...

NOTE: In order to read and write Cloud Optimized Geotiffs (COG), GDAL version 3.1 or greater is required. If your system GDAL is older than version 3.1, consider using Docker or Conda to get a modern GDAL.

Using docker

Build the container with:

> docker build -f ./Dockerfile -t geodataflow/pipelineapp:1.0.0 .

Getting start:

> docker run --rm --name gdf geodataflow/pipelineapp:1.0.0 --help
> docker run --rm --name gdf geodataflow/pipelineapp:1.0.0 --modules

To run workflows in Linux:

> docker run \
    --rm --name gdf -v "$PWD/tests/data:/tests/data" geodataflow/pipelineapp:1.0.0 \
    --pipeline_file "/tests/data/test_eo_stac_catalog.json"

To run workflows in Windows:

> docker run ^
    --rm --name gdf -v "%cd%/tests/data:/tests/data" geodataflow/pipelineapp:1.0.0 ^
    --pipeline_file "/tests/data/test_eo_stac_catalog.json"

For interactive process:

> docker run --rm -it --entrypoint "bash" geodataflow/pipelineapp:1.0.0

Using docker-compose

docker-compose.yml builds images and starts REST WebAPI and Workbench components to easily run Workflows with GeodataFlow.

> docker-compose up

Type in your favorite Web Browser:

To remove all resources:

> docker-compose down --rmi all -v --remove-orphans

Usage (Command line interface)

Starting with commands of GeodataFlow:

  • To see all the available options and commands::

    > geodataflow --help

  • To list all available supported modules::

    > geodataflow --modules

  • Run a workflow in the command line interface:

    > geodataflow --pipeline_file "/tests/data/test_eo_stac_catalog.json"

Contribute

Have you spotted a typo in our documentation? Have you observed a bug while running GeodataFlow? Do you have a suggestion for a new feature?

Don’t hesitate and open an issue or submit a pull request, contributions are most welcome!

License

GeodataFlow is licensed under Apache License v2.0. See LICENSE file for details.

Authors

GeodataFlow has been created by Alvaro Huarte https://www.linkedin.com/in/alvarohuarte.

Credits

GeodataFlow is built on top of amazingly useful open source projects. See NOTICE file for details about those projects and their licenses. Thank you to all the authors of these projects!

GitHub

View Github