dummy-0532 0.3.4

Dummy package for test

Python SDK for UP42, the geospatial marketplace and developer platform.

Documentation   •   UP42.com   •   Support

Highlights

• Python package for easy access to UP42's geospatial datasets & processing workflows
• Use UP42 functionality together with your preferred Python libraries!
• For geospatial analysis & product builders!
• Interactive maps & visualizations, ideal with Jupyter notebooks

Installation & Documentation

See the documentation for getting started guides, examples and the code reference.

The package requires Python > 3.6.

pip install up42-py

30-second Example

The UP42 Python package uses nine classes, representing the hierarchical structure of UP42: Project > Workflow > Job > JobTask | JobCollection | Catalog > Order | Storage > Asset.

In this example a new workflow consisting of Sentinel-2 data and Sharpening Filter is created. The area of interest and workflow parameters are defined. After running the job, the results are downloaded and visualized.

Try this example without installation!

import up42
up42.authenticate(project_id="12345", project_api_key="67890")
project = up42.initialize_project()

# Construct workflow
workflow = project.create_workflow(name="30-seconds-workflow", use_existing=True)
#print(up42.get_blocks(basic=True))
input_tasks = ["Sentinel-2 L2A Visual (GeoTIFF)",
               "Sharpening Filter"]
workflow.add_workflow_tasks(input_tasks)

# Define the aoi and input parameters of the workflow to run it.
aoi = up42.get_example_aoi(as_dataframe=True)
# Or use up42.draw_aoi(), up42.read_vector_file(), FeatureCollection, GeoDataFrame etc.
input_parameters = workflow.construct_parameters(geometry=aoi, 
                                                 geometry_operation="bbox", 
                                                 start_date="2018-01-01",
                                                 end_date="2020-12-31",
                                                 limit=1)
input_parameters["esa-s2-l2a-gtiff-visual:1"].update({"max_cloud_cover":5})

# Price estimation
workflow.estimate_job(input_parameters)

# Run a test job to query data availability and check the configuration.
test_job = workflow.test_job(input_parameters, track_status=True)

# Run the actual job.
job = workflow.run_job(input_parameters, track_status=True)

job.download_results()
job.plot_results(figsize=(6,6))

Support

For any kind of issues or suggestions please see the documentation, open a github issue or contact us via Email [e-mail]