Development of Remote Sensing-Based Flood Estimation Methodology in Google Earth Engine
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.
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Comparison of evapotranspiration estimation methods based on remote sensing technique and SWAT model
Farshad Fathian *, Hojat Ahmadzadeh, Mohammadhossein Bagheri Harooni
Irrigation & Water Engineering, -
Estimation Net Groundwater Extraction Using Remote Sensing based on Water Balance Method and Its Comparison by Smart Meter Data (Study Area: Abarkouh Chahgir Plain)
*, Saied Ebrahimi, Mohammad Mehdi Javadianzadeh
Journal of Radar and Optical Remote Sensing, Spring 2019