EGU General Assembly 2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Drought Risk Mapping in Iran Using Remote Sensing Data

Hossein Aghighi1, Abdolreza Ansari Amoli2,3, and Ernesto Lopez-Baeza3,4
Hossein Aghighi et al.
  • 1Shahid Beheshti University, Faculty of Earth Sciences, Center for Remote Sensing and GIS Research, Tehran, Iran, Islamic Republic of (
  • 2Remote Sensing & GIS Department, Iranian Space Agency, Tehran, Islamic Republic of Iran (
  • 3Environmental Remote Sensing Group (Climatology from Satellites), Earth Physics & Thermodynamics Department, Faculty of Physics, University of Valencia, Valencia, Spain (, (
  • 4Albavalor S.L.U. University of Valencia Science Park, Paterna, Valencia, Spain (

A drought risk map has been prepared at the national scale using remote sensing satellite data in Iran by combining output layers resulted from three main components of a risk evaluation procedure including Hazard Quantification (HQ), Vulnerability Assessment (VA) and Identification of Elements at Risk (IER). In this respect, Drought Severity (DS) using the Normalized Difference Vegetation Index (NDVI), Iran land-cover classification map, Iran slope map, population density and irrigated farm percentage in each province are the layers that have been utilised within a Drought Risk Evaluation (DRE) process. The final risk map demonstrates that the north west of the country with a climate corresponding to central European weather conditions has the maximum quantity of drought risk, and the areas with the arid climate mainly located in the middle of Iran have the least amount of drought risk value. The outputs of this research assimilated with the results of a Drought Risk Analysis (DRA) prepared by other disciplines will provide a list of advices to help decision makers to reduce drought risk consequences. Adding other significant satellite data such as precipitation, temperature, soil moisture, drainage density and ground water table will enable researchers to evaluate and map drought risk more accurately.

How to cite: Aghighi, H., Ansari Amoli, A., and Lopez-Baeza, E.: Drought Risk Mapping in Iran Using Remote Sensing Data, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11237,, 2022.


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