Sold by: Pacific Community (SPC)
Open data
|
Deployed on AWS
Sentinel-1 carries a Synthetic Aperture RADAR (SAR) that
operates on the C-band. This platform offers SAR data
day and night and in all-weather conditions.
Overview
Sentinel-1 carries a Synthetic Aperture RADAR (SAR) that operates on the C-band. This platform offers SAR data day and night and in all-weather conditions.
Features and programs
Open Data Sponsorship Program
This dataset is part of the Open Data Sponsorship Program, an AWS program that covers the cost of storage for publicly available high-value cloud-optimized datasets.
Pricing
This is a publicly available data set. No subscription is required.
Legal
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
Open data resources
Available with or without an AWS account.
- How to use
- To access these resources, reference the Amazon Resource Name (ARN) using the AWS Command Line Interface (CLI). Learn more
- Description
- Data access
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:::dep-public-data
- AWS region
- us-west-2
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://dep-public-data/
Resources
Vendor resources
Support
Contact
Managed By
How to cite
Sentinel-1 Mean and Median Annual Mosaic was accessed on DATE from https://registry.opendata.aws/dep-s1-annual-mosaics .
License
Digital Earth Pacific Data is available under the Creative Commons Attribution 4.0 International license https://creativecommons.org/licenses/by/4.0/
Similar products
Cloudless mosaic of Jamaica, created from Sentinel-2 2019 data
Cloudless mosaic of Great Britain and Ireland, created from Sentinel-2 2018 data
This dataset, produced by Impact Observatory, Microsoft, and Esri, displays a global map of land use and land cover (LULC)
derived from ESA Sentinel-2 imagery at 10 meter resolution for the years 2017 - 2024.
Each map is a composite of LULC predictions for 9 classes throughout the year
in order to generate a representative snapshot of each year.
This dataset was generated by Impact Observatory, which used billions of human-labeled pixels
(curated by the National Geographic Society) to train a deep learning model for land classification.
Each global map was produced by applying this model to the Sentinel-2 annual scene collections
from the Mircosoft Planetary Computer. Each of the maps has an assessed average accuracy of over 75%.
These maps have been improved from Impact Observatory's previous release and provide
a relative reduction in the amount of anomalous change between classes,
particularly between "Bare" and any of the vegetative classes
"Trees," "Crops," "Flooded V[...]
The Sentinel-1 mission is a constellation of
C-band Synthetic Aperature Radar (SAR) satellites from the European Space Agency launched since 2014.
These satellites collect observations of radar backscatter intensity day or night, regardless of the
weather conditions, making them enormously valuable for environmental monitoring.
These radar data have been processed from original Ground Range Detected (GRD) scenes into a Radiometrically
Terrain Corrected, tiled product suitable for analysis. This product is available over the Contiguous United States (CONUS)
since 2017 when Sentinel-1 data became globally available.