Flood Inundation Mapping using Multi-temporal Datasets

Authors

  • 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
  • Areeba Amer College of Earth & Environmental Sciences (CEES)University of the Punjab lahore
  • Mareena Khurshid Department of Geography University of the Punjab Lahore
  • Muhammad Shahzad Department of Space Science University of the Punjab Lahore.

Keywords:

Natural Disasters, Pre and Post Flood , Land use, Land cover

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.

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Published

2020-08-19

How to Cite

Syed Amer Mahmood, Saira Batool, Areeba Amer, Mareena Khurshid, & Muhammad Shahzad. (2020). Flood Inundation Mapping using Multi-temporal Datasets . International Journal of Innovations in Science & Technology, 2(3), 61–67. Retrieved from https://journal.50sea.com/index.php/IJIST/article/view/26

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