Next Article in Journal
Optical Algorithms at Satellite Wavelengths for Total Suspended Matter in Tropical Coastal Waters
Next Article in Special Issue
Remote Sensing of Agro-droughts in Guangdong Province of China Using MODIS Satellite Data
Previous Article in Journal
Satellite Assessment of Bio-Optical Properties of Northern Gulf of Mexico Coastal Waters Following Hurricanes Katrina and Rita
Previous Article in Special Issue
Connecting Hazard Analysts and Risk Managers to Sensor Information
Article Menu

Export Article

Open AccessArticle
Sensors 2008, 8(7), 4151-4164; doi:10.3390/s8074151

Integrating Physical and Topographic Information Into a Fuzzy Scheme to Map Flooded Area by SAR

Department of Electronic Engineering, Sapienza University of Rome, via Eudossiana 18, 00184 Roma, Italy
*
Author to whom correspondence should be addressed.
Received: 29 May 2008 / Revised: 27 June 2008 / Accepted: 6 July 2008 / Published: 10 July 2008
(This article belongs to the Special Issue Sensors for Disaster and Emergency Management Decision Making)
View Full-Text   |   Download PDF [1675 KB, uploaded 21 June 2014]   |  

Abstract

A flood mapping procedure based on a fuzzy sets theory has been developed. The method is based on the integration of Synthetic Aperture Radar (SAR) measurements with additional data on the inundated area, such as a land cover map and a digital elevation model (DEM). The information on land cover has allowed us to account for both specular reflection, typical of open water, and double bounce backscattering, typical of forested and urban areas. DEM has been exploited to include simple hydraulic considerations on the dependence of inundation probability on surface characteristics. Contextual information has been taken into account too. The proposed algorithm has been tested on a flood occurred in Italy on November 1994. A pair of ERS-1 images, collected before and after (three days later) the flood, has been used. The results have been compared with the data provided by a ground survey carried out when the flood reached its maximum extension. Despite the temporal mismatch between the survey and the post-inundation SAR image, the comparison has yielded encouraging results, with the 87% of the pixels correctly classified as inundated. View Full-Text
Keywords: SAR; Flood; Data fusion; Fuzzy. SAR; Flood; Data fusion; Fuzzy.
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Pierdicca, N.; Chini, M.; Pulvirenti, L.; Macina, F. Integrating Physical and Topographic Information Into a Fuzzy Scheme to Map Flooded Area by SAR. Sensors 2008, 8, 4151-4164.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top