Cloud-native geospatial processing suite
FilmDrop is a suite of open source tools for ingesting, archiving, processing, analyzing and distributing geospatial data in the cloud.
Accessible front-ends for FilmDrop Core and DR including broad API compliance
Domain-specific visualizations, monitoring, and data analysis
Notebook-based interface for programmatic access to FilmDrop Core datalakes to create custom processing and analysis workflows
Support for publishing ArcGIS Image Services
Ingest, archive, management, and discovery of remote sensing data
Create custom data products and derived analysis data
Create custom data lakes and processing pipelines with support for STAC, NetCDF, HDFx, COGs, Zarr, and more
Metadata generation and management
Cloud Providers (AWS, Azure, GCP)
On premises with Kubernetes
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Ingest to Analysis (Core)
FilmDrop can help you manage all aspects of your data pipeline from ground station and S3 ingest through processing and analysis.
STAC Compliant (Core)
All archived metadata in FilmDrop is stored as SpatioTemporal Asset Catalog (STAC) assets for broad interoperability with tooling and industry partners.
Choose your own Adventure (Core/DR)
FilmDrop is flexible and can support deployment to the AWS Cloud, Kubernetes, and even field-deployable packages like the Snowball, Snowcone, and Snowball Edge.
Plays Well with Others (Core)
Generate ephemeral archives of convenience (AoC) and custom pipelines to make your data more useable. Support for STAC, NetCDF, HDFx, COGs, Zarr, and more.
FilmDrop Analytics supports a notebook-based interface for programmatic access to FilmDrop Core datalakes. Depending on end-user needs, customized dashboards and visualizations for data analysis can also be built.
Demo & Talks
See our processing pipelines in action and explore the data through a map and notebook interface.