Sold by: The Alaska Satellite Facility (ASF)
Open data
|
Deployed on AWS
synthetic Aperture Radar (SAR) data is a powerful tool for monitoring and assessing disaster events and can provide valuable insights for researchers, scientists, and emergency response teams.
The Alaska Satellite Facility (ASF) curates this collection of (primarily) SAR and SAR-derived satellite data products from a variety of data sources for disaster events.
Overview
synthetic Aperture Radar (SAR) data is a powerful tool for monitoring and assessing disaster events and can provide valuable insights for researchers, scientists, and emergency response teams. The Alaska Satellite Facility (ASF) curates this collection of (primarily) SAR and SAR-derived satellite data products from a variety of data sources for disaster events.
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
- ASF Event data S3 bucket
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:::asf-event-data
- AWS region
- us-west-2
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://asf-event-data/
- Description
- Notifications for new event data
- Resource type
- SNS topic
- Amazon Resource Name (ARN)
- arn:aws:sns:us-west-2:654654592981:asf-event-data-object_created
- AWS region
- us-west-2
Resources
Vendor resources
Support
Managed By
How to cite
ASF SAR Data Products for Disaster Events was accessed on DATE from https://registry.opendata.aws/asf-event-data .
License
This data falls under the terms and conditions of the Creative Commons Zero (CC0) 1.0 Universal License unless otherwise noted.
Similar products
vASF Virtual ASF deployment secure Web application deployment in virtualized data centers by protect against the OWASP Top 10 Web attacks, information leakage, Denial of Service (DoS) attacks, DDoS attacks and other security threats.
Height Above Nearest Drainage (HAND) is a terrain model that normalizes topography to the relative heights along the drainage network and is used to describe the relative soil gravitational potentials or the local drainage potentials. Each pixel value represents the vertical distance to the nearest drainage. The HAND data provides near-worldwide land coverage at 30 meters and was produced from the 2021 release of the Copernicus GLO-30 Public DEM as distributed in the Registry of Open Data on AWS.
Sentinel-1 Precise Orbit Determination (POD) products contain auxiliary data on satellite position and velocity for the European Space Agency's (ESA) Sentinel-1 mission. Sentinel-1 is a C-band Synthetic Aperture Radar (SAR) satellite constellation first launched in 2014 as part of the European Union's Copernicus Earth Observation programme. POD products are a necessary auxiliary input for nearly all Sentinel-1 data processing workflows. This dataset is a mirror of the Sentinel-1 Orbits dataset hosted in the Copernicus Data Space Ecosystem (CDSE). New files are added within 20 minutes of their publication to CDSE. This dataset includes two types of POD files: RESORB and POEORB. RESORB POD files are restituted orbit files generated within 180 minutes from sensing time and published multiple times per day, with accuracy requirement of 10 cm in 2D RMS, but typi[...]
The Inter-mission Time Series of Land Ice Velocity and Elevation (ITS_LIVE) project has a singular mission: to accelerate ice sheet and glacier research by producing globally comprehensive, high resolution, low latency, temporally dense, multi-sensor records of land ice and ice shelf change while minimizing barriers between the data and the user.
ITS_LIVE data currently consists of NetCDF Level 2 scene-pair ice flow products posted to a standard 120 m grid derived from Landsat 4/5/7/8/9, Sentinel-2 optical scenes, and Sentinel-1 SAR scenes. We have processed all land-ice intersecting image pairs separated by ≤546 days for optical and ≤12 for SAR sensors, for all missions from each mission start to the end of 2022.
The ITS_LIVE project will continue processing new optical and radar scene pairs as they come in, and will soon increase production to include SAR image pairs separated by more than 12 days. We also expect to extend processing to include ASTER, RADARSAT, and NISAR imagery[...]