Package: geodataflow.dataframes
geodataflow.dataframesGeodataFlow backend implementation withGeoPandas(GeoDataFrames).GeodataFlowis a Geoprocessing framework for fetching, translating and manipulating Geospatial data (Raster,Vector,EO/STAC collections) by using aPipelineor sequence of operations on input data. It is very much like theGDALlibrary which handles raster and vector data.The project is split up into several namespace packages.geodataflow.dataframesimplements a backend for GeodataFlow using the GeoPandas library and other common OSGeo python packages. This package includes thegeodataflow.coreandgeodataflow.spatialsubpackages.Althoughgeodataflow.dataframesprovides a list of useful modules, since Backend implementations forGeodataFlowload them using the paradigm of plugins, developers can easily write new operations and the list may grow up in the future.Workflow examplesAssuming you are usinggeodataflow.dataframes(GeoPandas) as active backend implementation,GeodataFlowcan run workflows as the following: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]]]}}]}},# Transform CRS of geometries.{"type":"GeometryTransform","sourceCrs":4326,"targetCrs":32630},# 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},# Save features to Geopackage.{"type":"FeatureWriter","connectionString":"output.gpkg"}]}InstallationIn 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 pypiTo install the latest stable version frompypi, write this in the command-line:>pipinstallgeodataflow.dataframes[eodag,gee]Optional extras:eodagEODAG -Earth Observation Data Access Gatewayis a Python package for searching and downloading remotely sensed images while offering an unified API for data access regardless of the data provider.Installing this extraEODAGadds access to more EO Products from different providers toEOProductCatalogandEOProductDatasetmodules.geeGEE -Google Earth Engine APIis a geospatial processing service. WithEarth Engine, you can perform geospatial processing at scale, powered by Google Cloud Platform.GEErequires authentication, please, read available documentationhere.Installing this extraGEEmakes possible the access to Google Cloud Platform toGEEProductCatalogandGEEProductDatasetmodules.To view all available CLI tool commands and options:>geodataflow--helpListing all available modules:>geodataflow--modulesRun a workflow in the command-line interface:>geodataflow--pipeline_file"/geodataflow/dataframes/tests/data/test_eo_stac_catalog.json"Using dockerBuilding the container with:>dockerbuild-f./Dockerfile.dataframes-tgeodataflow/cli:1.0.0.Getting start:>dockerrun--rm--namegdfgeodataflow/cli:1.0.0--help
>dockerrun--rm--namegdfgeodataflow/cli:1.0.0--modulesCreating an interactive bash shell:>dockerrun--rm-it--entrypoint"bash"geodataflow/cli:1.0.0To run workflows in Linux:>dockerrun\--rm--namegdf-v"$PWD/geodataflow/dataframes/tests/data:/tests/data"geodataflow/cli:1.0.0\--pipeline_file"/tests/data/test_eo_stac_catalog.json"To run workflows in Windows:>dockerrun^--rm--namegdf-v"%cd%/geodataflow/dataframes/tests/data:/tests/data"geodataflow/cli:1.0.0^--pipeline_file"/tests/data/test_eo_stac_catalog.json"ContributeHave you spotted a typo in our documentation? Have you observed a bug while runningGeodataFlow? 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!LicenseGeodataFlowis licensed under Apache License v2.0.
SeeLICENSEfile for details.CreditsGeodataFlowis built on top of amazingly useful open source projects. SeeNOTICEfile for details about those projects
and their licenses.Thank you to all the authors of these projects!