Development of Remote Sensing-Based Flood Estimation Methodology in Google Earth Engine

Message:
Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:

Flood is one of the main natural disasters in Iran, which has caused losses in different regions. The present study developed a methodology that uses Sentinel 1 images and global products to assess the losses caused by a flood in the province of Khuzestan (2020) and Chabahar-Konarak (2021-2022). In this study, in addition to Sentinel 1 satellite data, Landsat 8 satellite images have been used. The results of this research have turned into the development of a flood application in the Google Earth Engine software. The results showed that the use of optically inactive images of this Landsat 8 or Sentinel 2 in cases where the cloud cover does not bother will increase the accuracy of the output. This issue is one of the specialization features in the conditions of uncertainty in determining the thresholds of changes in radar images. In the field of flood zone and subsequently estimation of losses from flood.

Language:
Persian
Published:
Journal of Environment and Interdisciplinary Development, Volume:7 Issue: 76, 2022
Pages:
11 to 24
https://www.magiran.com/p2500237  
سامانه نویسندگان
  • Mohammad Hossein Bagheri
    Author (1)
    Phd Student PhD Candidate in Water Resources Department, Civil Engineering, University Of Isfahan, Isfahan, Iran
    Bagheri، Mohammad Hossein
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