Sold by: Mark S. Veillette
Open data
|
Deployed on AWS
Collection of spatially and temporally aligned GOES-16 ABI satellite imagery, NEXRAD radar mosaics, and GOES-16 GLM lightning detections.
Overview
Collection of spatially and temporally aligned GOES-16 ABI satellite imagery, NEXRAD radar mosaics, and GOES-16 GLM lightning detections.
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
- Dataset of storm imagery
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:::sevir
- AWS region
- us-west-2
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://sevir/
Resources
Vendor resources
Support
Contact
Managed By
Mark S. Veillette
How to cite
Storm EVent ImageRy (SEVIR) was accessed on DATE from https://registry.opendata.aws/sevir .
License
There are no restrictions on the use of this data.
Similar products
The Storm Events Database is an integrated database of severe weather events across the United States from 1950 to this year, with information about a storm event's location, azimuth, distance, impact, and severity, including the cost of damages to property and crops. It contains data documenting: The occurrence of storms and other significant weather phenomena having sufficient intensity to cause loss of life, injuries, significant property damage, and/or disruption to commerce. Rare, unusual, weather phenomena that generate media attention, such as snow flurries in South Florida or the San Diego coastal area. Other significant meteorological events, such as record maximum or minimum temperatures or precipitation that occur in connection with another event. Data about a specific event is added to the dataset within 120 days to allow time for damage assessments and other analysis.
Companies that run their business on SAP amass huge amounts of data every day. Amazon Q in QuickSight quickly gives you a better way to manage and make data-driven decisions around your Sales & Distribution data. This Storm Reply QuickSight Dashboard for SD 30-Day Trial Deployment is designed to offer you a preview of Amazon Q in QuickSight in a low-risk environment, partnering with a Certified Amazon QuickSight Partner.
In order to support NOAA's homeland security and emergency response requirements, the National Geodetic Survey Remote Sensing Division (NGS/RSD) has the capability to acquire and rapidly disseminate a variety of spatially-referenced datasets to federal, state, and local government agencies, as well as the general public. Remote sensing technologies used for these projects have included lidar, high-resolution digital cameras, a film-based RC-30 aerial camera system, and hyperspectral imagers. Examples of rapid response initiatives include acquiring high resolution images with the Emerge/Applanix Digital Sensor System (DSS).
This product consists of oblique imagery and supporting metadata for Denver, Colorado, acquired on October 2, 2018. You can check out the imagery quality at https://oblique.sanborn.com/Denver/
Metadata provided includes External Orientation and Camera parameters files.
Imagery coverage: 25 sq miles