NASA Flood Extent Detection
Linked on 1/6/2023
This dataset contains synthetic aperture radar (SAR) raster imagery for various flood events acquired from the European Space Agencys Sentinel-1A and Sentinel-1B missions, providing C-Band dual-polarized imagery that spans geographical areas of interest in the United States and Bangladesh. The main emphasis was on the labeling of open water areas where specular reflection of the radar signal off of the relatively still, flat open water surface results in reduced backscatter, low amplitude, and an overall darkened appearance within the image. The labels for the water surface reflectance are also provided in GeoTiff rasterized file format in scenes aligned with the SAR source raster imagery.
Dataset Characteristics
Image
Subject Area
Physical Science
Associated Tasks
Classification
Feature Type
Real
# Instances
50000
# Features
-
Dataset Information
For what purpose was the dataset created?
This dataset contains synthetic aperture radar (SAR) raster imagery for various flood events acquired from the European Space Agency's Sentinel-1A and Sentinel-1B missions, providing C-Band dual-polarized imagery that spans geographical areas of interest in the United States and Bangladesh. The main emphasis was on the labeling of open water areas where specular reflection of the radar signal off of the relatively still, flat open water surface results in reduced backscatter, low amplitude, and an overall darkened appearance within the image. The labels for the water surface reflectance are also provided in GeoTiff rasterized file format in scenes aligned with the SAR source raster imagery.
Who funded the creation of the dataset?
NASA-IMPACT, University of Alabama in Huntsville
What do the instances in this dataset represent?
Photos
Has Missing Values?
No
Introductory Paper
By Shubhankar Gahlot, Muthukumaran Ramasubramanian, Iksha Gurung, Ronny Hãnsch, Andrew Molthan, and Manil Maskey. 2022
Published in AGU Journals
Reviews
There are no reviews for this dataset yet.
pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset nasa_flood_extent_detection = fetch_ucirepo(id=770) # data (as pandas dataframes) X = nasa_flood_extent_detection.data.features y = nasa_flood_extent_detection.data.targets # metadata print(nasa_flood_extent_detection.metadata) # variable information print(nasa_flood_extent_detection.variables)
Gahlot,Shubhankar. (2023). NASA Flood Extent Detection. UCI Machine Learning Repository. https://doi.org/10.24432/C50P62.
@misc{misc_nasa_flood_extent_detection_770,
author = {Gahlot,Shubhankar},
title = {{NASA Flood Extent Detection}},
year = {2023},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: https://doi.org/10.24432/C50P62}
}Citations/Acknowledgements
If you use this dataset, please follow the acknowledgment policy on the original dataset website.
Creators
Shubhankar Gahlot
sgahlot@hawk.iit.edu