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Flood Inundation Mapping using Multi-temporal Datasets

Author

Listed:
  • Syed Amer Mahmood

    (Department of Space Science University of the Punjab Lahore.)

  • Saira Batool

    (Centre For Integrated Mountain Research (CIMR) University of the Punjab Lahore.)

Abstract

Floods are considered the most frequent natural catastrophic events, which effect the human lives and infrastructure. Flooding causes tremendous loss of life and property every year. We used satellite imagery to map flood inundation in Jehlum river for the both pre and post flood scenarios and classified it into major landuse including vegetation, water body, buildup land and the bare soil. The results show that about 40% area was agricultural land, 29% was bare soil, 16% was build up land and 12% area was noted as water body.The categorization of the post flood areas, showed that flood has destroyed the buildup and agriculture lands.The superimposition proposed that agricultural land was 43% before the flood which reduced up to 31%,the normal flow of water was 12% before flood which was increased up to 33%, build up area and bare soil was also decreased up to 10% and 25% respectively. Remote sensing and GIS proved efficient in convergence of optimistic results.

Suggested Citation

  • Syed Amer Mahmood & Saira Batool, 2020. "Flood Inundation Mapping using Multi-temporal Datasets," International Journal of Innovations in Science & Technology, 50sea, vol. 2(3), pages 61-67, August.
    • Handle: RePEc:abq:ijist1:v:2:y:2020:i:3:p:61-67
    DOI: 10.33411/IJIST/2019010102
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    More about this item

    Keywords

    Natural Disasters; Pre and Post Flood; Landuse; Land cover.;
    All these keywords.

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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