Evaluation of Snow Cover Changes Trend Using GEE and TFPW-MK Test (Case Study: Marber Basin- Isfahan)

Document Type : Research Article

Authors

1 Associate Professor, Department of Water Engineering, Faculty of Agriculture and Natural Resources, Lorestan University, Khorramabad, Iran

2 Associate Professor, Faculty of new Science and Technologies, University of Tehran, Iran

3 MSc Student of Remote Sensing and GIS, University of Tehran

4 PhD Student of Water Structures, Faculty of Agriculture and Natural Resources, Lorestan University, Khorramabad, Iran

5 PhD Student in Watershed Science and Engineering, Faculty of Natural Resources and Earth Sciences, University of Kashan, Kashan, Iran

Abstract

Studying and evaluating changes in snow cover, as one of the most significant sources of water supply is very important. Due to the conditions of inaccessible mountainous areas, it is not possible to make permanent ground measurements to estimate snowfall resources and form a database. Therefore, the use of satellite imagery in identifying snow-covered areas and evaluating its changes is very important and necessary. In this study, satellite imagery of MODIS sensor in Marber Basin located in the south of Isfahan province for the 20-year period from 2000 to 2019 was used. It is noteworthy that in this study, the Google Earth Engine system, or GEE, was used, which is a new and very useful system. In the present study, more than 7000 images of daily snow cover were used, which are available in GEE in the shortest time. TFPW-MK test was used to evaluate the trend of snow cover changes. In this study, in addition to programming and calling images and extracting snow cover values ​​in the engine system and process analysis by performing TFPW-MK test, ArcGIS10.5 software was also used in preparing the outputs. The results showed that the trend of changes in snow cover levels during the mentioned 20-year period has been decreasing, so that from about 120 square kilometers to less than 60 square kilometers in 2018, according to the percentage of trust (p-column in The TFPW method has a significant negative trend at the level of 5% in January and August and a significant negative trend at the level of 10% in June. The annual trend was also examined by TFPW test and shows a significant negative trend at the level of 5%.

Keywords

References

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Iranian journal of Ecohydrology
Volume 8, Issue 1
April 2021
Pages 195-204

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History

  • Receive Date: 06 October 2020
  • Revise Date: 13 February 2021
  • Accept Date: 13 February 2021

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