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1- university of Zanjan, university of zanjan , feyzolahpour@znu.ac.ir
2- university of mohageghe ardabili
Abstract:   (195 Views)

Desertification is a form of land degradation in arid, semi-arid, and semi-humid regions caused by climate change and human activities. The purpose of this research is to investigate the desertification situation in the Sirjan Plain region in the period from 1990 to 2023. Desertification in this area threatens human settlements. The purpose of this research is to combine several indicators to evaluate the state of desertification, and for this purpose, several spectral indicators are combined with each other to select the best indicator. In this research, based on albedo, MSAVI and SFI indices, desertification monitoring index (DMI) was proposed and the spatial and temporal distribution of desertification in the west of Sirjan was estimated in 1990 and 2023. To classify the results obtained from the DMI index, Jenks classification methods and quantitative index were used. Based on the results of the Jenks index, it was observed that the areas with very low desertification in 1990 were about 59.7 square kilometers, which decreased to 127.5 square kilometers in 2023, and 47.68 percent of the area has desertification. It has been very little. Areas with high desertification have faced a significant change and have reached 118.6 square kilometers in 2023 from 465.7 square kilometers in 1990. The results showed that Jenks classification method has a higher ability than the quantitative index with an overall accuracy of 82% and a Kappa coefficient of 0.86 in 1990. Finally, it was observed that the albedo index had the highest positive correlation compared to the DMI index. So that the correlation between these two indicators in 1990 and 2023 was estimated at 0.71 and 0.82, respectively.
 

     
Type of Study: Research | Subject: Geomorphology

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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Creative Commons License
This work is licensed under a Creative Commons — Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)