Data collections

When you use the SDK for Python (Boto3) and SageMaker geospatial, you must create a geospatial client, geospatial_client. Use the following Python snippet to make a call to the list_raster_data_collections API:

import boto3
import sagemaker
import sagemaker_geospatial_map
import json 

## SageMaker Geospatial Capabilities is currently only avaialable in US-WEST-2  
session = boto3.Session(region_name='us-west-2')
execution_role = sagemaker.get_execution_role()

## Creates a SageMaker Geospatial client instance 
geospatial_client = session.client(service_name="sagemaker-geospatial")

# Creates a resusable Paginator for the list_raster_data_collections API operation 
paginator = geospatial_client.get_paginator("list_raster_data_collections")

# Create a PageIterator from the Paginator
page_iterator = paginator.paginate()

# Use the iterator to iterate throught the results of list_raster_data_collections
results = []
for page in page_iterator:
	results.append(page['RasterDataCollectionSummaries'])

print (results)

In the JSON response, you will receive the following, which has been truncated for clarity:

{
    "Arn": "arn:aws:sagemaker-geospatial:us-west-2:555555555555:raster-data-collection/public/dxxbpqwvu9041ny8",
    "Description": "Copernicus DEM is a Digital Surface Model which represents the surface of the Earth including buildings, infrastructure, and vegetation. GLO-30 is instance of Copernicus DEM that provides limited worldwide coverage at 30 meters.",
    "DescriptionPageUrl": "https://registry.opendata.aws/copernicus-dem/",
    "Name": "Copernicus DEM GLO-30",
    "Tags": {},
    "Type": "PUBLIC"
}