RAPID NRT Flood Maps

Stream data with DDA:

from dagshub.streaming import DagsHubFilesystem

fs = DagsHubFilesystem(".", repo_url="https://dagshub.com/DagsHub-Datasets/rapid-nrt-flood-maps-dataset")

fs.listdir("s3://rapid-nrt-flood-maps")

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.

Contact:

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.

Update Frequency:

NRT data will be update as soon as SAR images available and done processed.

Managed By:

University of Connecticut; Guangxi University

Collabs:

• ASDI:
  • Tags: water

Resources:

1. resource:
   • Description: RAPID archive flood maps
   • ARN: arn:aws:s3:::rapid-nrt-flood-maps
   • Region: us-west-2
   • Type: S3 Bucket
   • Explore: Browse Bucket

Tags:

aws-pds, agriculture, earth observation, water, environmental, disaster response

Publication:

1. publication:

   • Title: Near Real-Time Nonobstructed Flood Inundation Mapping by Synthetic Aperture Radar
   • URL: https://doi.org/10.1016/j.rse.2018.11.008
   • AuthorName: Xinyi Shen, Emmanouil N. Anagnostou, George H. Allen, G. Robert Brakenridge, Albert J. Kettner

2. publication:

   • Title: Inundation Extent Mapping by Synthetic Aperture Radar: A Review
   • URL: https://doi.org/10.3390/rs11070879
   • AuthorName: Xinyi Shen, Dacheng Wang, Kebiao Mao, Emmanouil Anagnostou, and Yang Hong