
RAPID NRT Flood Maps
Provided by: University of Connecticut; Guangxi University, part of the Amazon Sustainability Data Initiative
Provided by: University of Connecticut; Guangxi University, part of the Amazon Sustainability Data Initiative

RAPID NRT Flood Maps
Provided by: University of Connecticut; Guangxi University, part of the Amazon Sustainability Data Initiative
Provided by: University of Connecticut; Guangxi University, part of the Amazon Sustainability Data Initiative
This product is part of the Amazon Sustainability Data Initiative and contains data sets that are publicly available for anyone to access and use. No subscription is required. Unless specifically stated in the applicable data set documentation, data sets available through the Amazon Sustainability Data Initiative are not provided and maintained by AWS.
Description
Near Real-time and archival data of High-resolution (10 m) flood inundation dataset over the Contiguous United States, developed based on the Sentinel-1 SAR imagery (2016-current) archive, using an automated Radar Produced Inundation Diary (RAPID) algorithm.
License
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International
How to cite
RAPID NRT Flood Maps was accessed on DATE
from https://registry.opendata.aws/rapid-nrt-flood-maps .
Update frequency
NRT data will be update as soon as SAR images available and done processed.
Support information
Managed by: University of Connecticut; Guangxi University
Contact: xinyi.shen@uconn.edu; qing.yang6@hotmail.com
General AWS Data Exchange support
Resources on AWS
Description
RAPID archive flood maps
Resource type
S3 Bucket
Amazon Resource Name (ARN)
arn:aws:s3:::rapid-nrt-flood-maps
AWS Region
us-west-2
AWS CLI Access (No AWS account required)
aws s3 ls --no-sign-request s3://rapid-nrt-flood-maps/
Explore
Usage examples
Publications
- Inundation Extent Mapping by Synthetic Aperture Radar: A Review by Xinyi Shen, Dacheng Wang, Kebiao Mao, Emmanouil Anagnostou, and Yang Hong
- Near Real-Time Nonobstructed Flood Inundation Mapping by Synthetic Aperture Radar by Xinyi Shen, Emmanouil N. Anagnostou, George H. Allen, G. Robert Brakenridge, Albert J. Kettner