Exploring the Role of Land Surface Temperature on Distribution of Snow Coverage in Iran by Remote Sensing Data

Document Type : Research Paper

Authors

Abstract

The aim of this study is to explore the role of land surface temperature on distribution of snow-covered days in Iran. Firstly, the land surface temperature data were obtained from NASA for 2003 to 2014 in the spatial resolution of 1×1 km. MODIS Terra and MODIS Aqua data were also downloaded from 2003 to 2014 in the spatial resolution of 500 * 500. After preparation of the data in MATLAB software, Digital Elevation Model of the country was applied to calculate the annual LST for each of the elevations grouped by 1 meter. The findings of this study revealed that in the extents of the country which annul LST is below 30 º C the environmental condition is suitable for the accumulation of snow cover. And it was also found that the LST is 30 º C for the elevations above 1700 m. findings also revealed that there is no snow-covered day for the extents that LST is 37 º C and the most number of snow-covered days can be seen in the regions that LST is 0 º C.

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References

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Geography and Development
Volume 15, Issue 49
December 2018
Pages 189-204

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  • Receive Date: 09 December 2017
  • Accept Date: 09 December 2017

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