Amazon SageMaker geospatial capabilities
Read list earth observation jobs, list vector enrichment jobs, get raster data collection from SageMaker Geospatial (SigV4).
OCNORA ships 4 typed Amazon SageMaker geospatial capabilities operations. Each node has a schema-driven form, input and output tables beside its settings, and is pre-flighted by Workflow Health before your first real run.
Before you connect Amazon SageMaker geospatial capabilities
- Authentication
- API key
- Credential
- {"access_key_id", "secret_access_key"}
- Connection test
- Available: the stored credential can be checked against the provider when you add it. This is not a record that a test was run or passed.
What you can do with Amazon SageMaker geospatial capabilities
Operations, grouped by what they do to your data.
Other operations 1
A sample Amazon SageMaker geospatial capabilities workflow
- 1A core triggerStart the run from a chat, form, manual, schedule, webhook, workflow trigger — no Amazon SageMaker geospatial capabilities trigger is needed.
- 2Get Raster Data Collectionsagemaker_geospatial.get_raster_data_collectionUse this operation to get details of a specific raster data collection.
- 3Write Actionsagemaker_geospatial.callRun one of 10 write actions on SageMaker Geospatial.
An outline built from this provider’s node contracts, not a recorded run. Each step’s output fields are available to the next in the field picker.
Every node below has a reference page: what it does, the connection it needs, its config fields with types, constraints and examples, and the shapes it emits.
Operations 4
- Write ActionRun one of 10 write actions on SageMaker Geospatial.sagemaker_geospatial.call
- Get Raster Data CollectionUse this operation to get details of a specific raster data collection.sagemaker_geospatial.get_raster_data_collection
- List Earth Observation JobsUse this operation to get a list of the Earth Observation jobs associated with the calling Amazon Web Services account.sagemaker_geospatial.list_earth_observation_jobs
- List Vector Enrichment JobsRetrieves a list of vector enrichment jobs.sagemaker_geospatial.list_vector_enrichment_jobs
Amazon SageMaker geospatial capabilities questions
- How does OCNORA authenticate with Amazon SageMaker geospatial capabilities?
- With a stored API key credential, shaped {"access_key_id", "secret_access_key"}. A connection test can check it when you add it.
- What can I automate with Amazon SageMaker geospatial capabilities?
- 4 typed operations, each with a reference page listing its config fields and the shapes it emits.
- What if the Amazon SageMaker geospatial capabilities operation I need is not listed?
- Where Amazon SageMaker geospatial capabilities has an HTTP API, call it from the HTTP node with the same credential, or describe the step to the AI builder, which asks our team for a typed node when one is missing.
- Are there templates that use Amazon SageMaker geospatial capabilities?
- Not yet. Start from a blank workflow, or describe the workflow to Build with AI.
- How are Amazon SageMaker geospatial capabilities calls controlled?
- Every call and every run step is audited, runs count against the execution budget, and Workflow Health pre-flights the workflow when you save it.
See your first Amazon SageMaker geospatial capabilities workflow run.
Book a technical demo. We add the connection, pick a template or describe the workflow to Build with AI, and Workflow Health checks it before it runs.