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  Flood Hazard Susceptibility Extraction by Comparing Deep Learning and Machine Learning Algorithms

Zafar, U., Shum, C. K., Azmat, M. (2023): Flood Hazard Susceptibility Extraction by Comparing Deep Learning and Machine Learning Algorithms, XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) (Berlin 2023).
https://doi.org/10.57757/IUGG23-4719

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Item Permalink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5021127 Version Permalink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5021127_1
Genre: Conference Paper

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 Creators:
Zafar, Umayya1, Author
Shum, C. K.1, Author
Azmat, Muhammad1, Author
Affiliations:
1IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations, ou_5011304              

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 Abstract: Flood is amongst the hydro metrological hazards most frequently occurring and responsible for massive destruction of lives and properties in developing countries like Pakistan. A most devastating flood episode occurred during 2022 in lower Indus basin where roughly more than 33 million people were affected. The aim of this study was to evaluate previous major floods episodes temporally and extraction of susceptible sites based upon multiple causal parameters, over the lower Indus plain, during past 22 years. To achieve this, we utilized the relevant resolution planet imageries for the study region. The susceptible sites were extracted using multiple causal parameters. A suit of geodetic observations was monitored to enhance the precise extraction of susceptibility. The deep learning (deep boost) and machine learning (naive bayes tree) algorithms were utilized and spatial coverage of vulnerability for each algorithm was calculated and mapped. Both algorithms were compared for the accuracy assessment. Our approach will greatly be beneficial for planners in managing and protecting this river basin from this natural hazard.

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Language(s): eng - English
 Dates: 2023-07-112023-07-11
 Publication Status: Finally published
 Pages: -
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 Identifiers: DOI: 10.57757/IUGG23-4719
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Title: XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
Place of Event: Berlin
Start-/End Date: 2023-07-11 - 2023-07-20

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Title: XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
Source Genre: Proceedings
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Publ. Info: Potsdam : GFZ German Research Centre for Geosciences
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: -