Flood Monitoring and Early Warning System: The Integration of Inundated Areas Extraction Tool

  • Limlahapun P
  • Fukui H
N/ACitations
Citations of this article
13Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

This paper examines a satellite images processing system with a mechanism for detecting the inundated areas and supporting to flood monitoring and warning. The interoperable handling system is established in order to freely access the inundated areas with no defensive barrier by the software operability limitations. The ultimate goal of this effort is to bring awareness of the potentially catastrophic occurrence that can be pre-detected and prevented altogether. The development of the algorithm to extract the inundated areas and convey urgent messages during the time of crisis is performed on a user-friendly web based interface. A careful examination of various locations on LANDSAT images yields promising results. Although the size of images is limited by the available bandwidth of the web based application, processing at 4000*4000*3 bands per image takes approximately 3 minutes. This is a significant improvement over currently available methods for inundated detection systems. Additional benefits include software operation cost saving, and reduction of operational expenses and time. Furthermore, it does not require technical expertise to predict the rise of flood disasters.

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Limlahapun, P., & Fukui, H. (2010). Flood Monitoring and Early Warning System: The Integration of Inundated Areas Extraction Tool. SICE Journal of Control, Measurement, and System Integration, 3(6), 476–482. https://doi.org/10.9746/jcmsi.3.476

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 1

100%

Readers' Discipline

Tooltip

Engineering 4

80%

Computer Science 1

20%

Article Metrics

Tooltip
Social Media
Shares, Likes & Comments: 20

Save time finding and organizing research with Mendeley

Sign up for free