# Data collections


Amazon SageMaker geospatial supports the following raster data collections. Of the following data collections, you can use the  USGS Landsat and the Sentinel-2 Cloud-Optimized GeoTIFF data collections when starting an Earth Observation Job (EOJ). To learn more about the EOJs, see [Earth Observation Jobs](geospatial-eoj.md).
+ [Copernicus Digital Elevation Model (DEM) – GLO-30](https://registry.opendata.aws/copernicus-dem/)
+ [Copernicus Digital Elevation Model (DEM) – GLO-90](https://registry.opendata.aws/copernicus-dem/)
+ [https://registry.opendata.aws/sentinel-2-l2a-cogs/](https://registry.opendata.aws/sentinel-2-l2a-cogs/)
+ [https://registry.opendata.aws/sentinel-1/](https://registry.opendata.aws/sentinel-1/)
+ [National Agriculture Imagery Program (NAIP) on AWS](https://registry.opendata.aws/naip/)
+ [https://registry.opendata.aws/usgs-landsat/](https://registry.opendata.aws/usgs-landsat/)

To find the list of available raster data collections in your AWS Regions, use `ListRasterDataCollections`. In the [`ListRasterDataCollections` response](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_ListRasterDataCollections.html#API_geospatial_ListRasterDataCollections_ResponseSyntax), you get a [https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_ListRasterDataCollections.html#API_geospatial_ListRasterDataCollections_ResponseSyntax](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_ListRasterDataCollections.html#API_geospatial_ListRasterDataCollections_ResponseSyntax) object that contains details about the available raster data collections.

**Example – Calling the `ListRasterDataCollections` API using the AWS SDK for Python (Boto3)**  <a name="list-raster-data-collections"></a>
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"
}
```

## Image band information from the USGS Landsat and Sentinel-2 data collections


Image band information from the USGS Landsat 8 and Sentinel-2 data collections are provided in the following table.

USGS Landsat


| Band name | Wave length range (nm) | Units | Valid range | Fill value | Spatial resolution | 
| --- | --- | --- | --- | --- | --- | 
| coastal | 435 - 451 | Unitless | 1 - 65455 | 0 (No Data) | 30m | 
| blue | 452 - 512 | Unitless | 1 - 65455 | 0 (No Data) | 30m | 
| green | 533 - 590 | Unitless | 1 - 65455 | 0 (No Data) | 30m | 
| red | 636 - 673 | Unitless | 1 - 65455 | 0 (No Data) | 30m | 
| nir | 851 - 879 | Unitless | 1 - 65455 | 0 (No Data) | 30m | 
| swir16 | 1566 - 1651 | Unitless | 1 - 65455 | 0 (No Data) | 30m | 
| swir22 | 2107 - 2294 | Unitless | 1 - 65455 | 0 (No Data) | 30m | 
| qa\$1aerosol | NA | Bit Index | 0 - 255 | 1 | 30m | 
| qa\$1pixel | NA | Bit Index | 1 - 65455 | 1 (bit 0) | 30m | 
| qa\$1radsat | NA | Bit Index | 1 - 65455 | NA | 30m | 
| t | 10600 - 11190 | Scaled Kelvin | 1 - 65455 | 0 (No Data) | 30m (scaled from 100m) | 
| atran | NA | Unitless | 0 - 10000 | -9999 (No Data) | 30m | 
| cdist | NA | Kilometers | 0 - 24000 | -9999 (No Data) | 30m | 
| drad | NA | W/(m^2 sr µm)/DN | 0 - 28000 | -9999 (No Data) | 30m | 
| urad | NA | W/(m^2 sr µm)/DN | 0 - 28000 | -9999 (No Data) | 30m | 
| trad | NA | W/(m^2 sr µm)/DN | 0 - 28000 | -9999 (No Data) | 30m | 
| emis | NA | Emissivity coefficient | 1 - 10000 | -9999 (No Data) | 30m | 
| emsd | NA | Emissivity coefficient | 1 - 10000 | -9999 (No Data) | 30m | 

Sentinel-2


| Band name | Wave length range (nm) | Scale | Valid range | Fill value | Spatial resolution | 
| --- | --- | --- | --- | --- | --- | 
| coastal | 443 | 0.0001 | NA | 0 (No Data) | 60m | 
| blue | 490 | 0.0001 | NA | 0 (No Data) | 10m | 
| green | 560 | 0.0001 | NA | 0 (No Data) | 10m | 
| red | 665 | 0.0001 | NA | 0 (No Data) | 10m | 
| rededge1 | 705 | 0.0001 | NA | 0 (No Data) | 20m | 
| rededge2 | 740 | 0.0001 | NA | 0 (No Data) | 20m | 
| rededge3 | 783 | 0.0001 | NA | 0 (No Data) | 20m | 
| nir | 842 | 0.0001 | NA | 0 (No Data) | 10m | 
| nir08 | 865 | 0.0001 | NA | 0 (No Data) | 20m | 
| nir08 | 865 | 0.0001 | NA | 0 (No Data) | 20m | 
| nir09 | 940 | 0.0001 | NA | 0 (No Data) | 60m | 
| swir16 | 1610 | 0.0001 | NA | 0 (No Data) | 20m | 
| swir22 | 2190 | 0.0001 | NA | 0 (No Data) | 20m | 
| aot | Aerosol optical thickness | 0.001 | NA | 0 (No Data) | 10m | 
| wvp | Scene-average water vapor | 0.001 | NA | 0 (No Data) | 10m | 
| scl | Scene classification data | NA | 1 - 11 | 0 (No Data) | 20m |