Next Article in Journal
The Effect of Hydraulic Characteristics on Algal Bloom in an Artificial Seawater Canal: A Case Study in Songdo City, South Korea
Next Article in Special Issue
Integration of a Hydrological Model within a Geographical Information System: Application to a Forest Watershed
Previous Article in Journal
Firewater Storage, Treatment, Recycling and Management: New Perspectives Based on Experiences from the United Kingdom
Previous Article in Special Issue
Hydrological Flood Simulation Using a Design Hyetograph Created from Extreme Weather Data of a High-Resolution Atmospheric General Circulation Model
Article Menu

Export Article

Open AccessArticle
Water 2014, 6(2), 381-398; doi:10.3390/w6020381

Real Time Estimation of the Calgary Floods Using Limited Remote Sensing Data

1
Department of Geography and GeoInformation Science, George Mason University, 4400 University Drive, Fairfax, VA 22030, USA
2
Department of Geography and Institute for CyberScience, The Pennsylvania State University, 201 Old Main, University Park, PA 16802, USA
3
School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, 699 S. Mill Avenue, Tempe, AZ 85281, USA
4
Center for Excellence in GIS, George Mason University, 4400 University Drive, Fairfax, VA 22030, USA
*
Author to whom correspondence should be addressed.
Received: 16 December 2013 / Revised: 28 January 2014 / Accepted: 8 February 2014 / Published: 18 February 2014
(This article belongs to the Special Issue Flood Estimation and Analysis in a Variable and Changing Environment)
View Full-Text   |   Download PDF [3474 KB, 9 June 2015; original version 9 June 2015]   |  

Abstract

Every year, flood disasters are responsible for widespread destruction and loss of human life. Remote sensing data are capable of providing valuable, synoptic coverage of flood events but are not always available because of satellite revisit limitations, obstructions from cloud cover or vegetation canopy, or expense. In addition, knowledge of road accessibility is imperative during all phases of a flood event. In June 2013, the City of Calgary experienced sudden and extensive flooding but lacked comprehensive remote sensing coverage. Using this event as a case study, this work illustrates how data from non-authoritative sources are used to augment traditional data and methods to estimate flood extent and identify affected roads during a flood disaster. The application of these data, which may have varying resolutions and uncertainities, provide an estimation of flood extent when traditional data and methods are lacking or incomplete. When flooding occurs over multiple days, it is possible to construct an estimate of the advancement and recession of the flood event. Non-authoritative sources also provide flood information at the micro-level, which can be difficult to capture from remote sensing data; however, the distibution and quantity of data collected from these sources will affect the quality of the flood estimations. View Full-Text
Keywords: flood assessment; volunteered geographical data; data fusion flood assessment; volunteered geographical data; data fusion
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

Schnebele, E.; Cervone, G.; Kumar, S.; Waters, N. Real Time Estimation of the Calgary Floods Using Limited Remote Sensing Data. Water 2014, 6, 381-398.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Water EISSN 2073-4441 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top