Improving flood monitoring in rural areas using remote sensing | Zendy

Zahra Ghofrani | Zendy; Victor Sposito | Zendy; Robert Faggian | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Improving flood monitoring in rural areas using remote sensing

Author(s) -

Zahra Ghofrani,

Victor Sposito,

Robert Faggian

Publication year - 2018

Publication title -

water practice and technology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.243

H-Index - 15

ISSN - 1751-231X

DOI - 10.2166/wpt.2018.118

Subject(s) - flood myth , environmental science , levee , hydrology (agriculture) , flood control , remote sensing , index (typography) , drainage basin , geology , geography , cartography , computer science , geotechnical engineering , archaeology , world wide web

Precise information on the extent of inundated land is required for flood monitoring, relief, and protective measures. In this paper, two spectral indices, Normalized Difference Water Index (NDWI) and Modified Normalized Difference Water Index (MNDWI), were used to identify inundated areas during heavy rainfall events in the Tarwin catchment, Victoria, Australia, using Landsat-8 OLI imagery. By integrating the assessed condition of levees, this research also explains the inefficiency of the flood control measures of this region of Australia. NDWI and MNDWI indices performed well, but water features were enhanced better in the NDWI-derived image, with an accuracy of 96.04% and Kappa coefficient of 0.83.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research