Data underlying the publication: Change Detection in a Rural Landscape: A case study of processes and main driving factors and its response to land surface temperature and heat island phenomenon in Farim, Iran (dataset)

Data underlying the publication: Change Detection in a Rural Landscape: A case study of processes and main driving factors and its response to land surface temperature and heat island phenomenon in Farim, Iran

doi:10.4121/19589734.v1

The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/19589734

Datacite citation style:

Mahdavi Estalkhsari, Bonin; Mohammad, Pir (2022): Data underlying the publication: Change Detection in a Rural Landscape: A case study of processes and main driving factors and its response to land surface temperature and heat island phenomenon in Farim, Iran. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/19589734.v1

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Dataset

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keywords

Change detection, land surface temperature (LST), Land-Uses and Land-Cover Changes (LULCC), Urban Thermal Field Variance Index (UTFVI)

geolocation

Farim, Iran

lat (N): 36.174217°

lon (E): 53.268405°

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by Bonin Mahdavi Estalkhsari

, Pir Mohammad

This study aims to investigate the alteration of land use land cover (LULC) change and its response to change in land surface temperature (LST) and heat island phenomena of a rural district of Farim in the north of Iran from 1990 to 2020 using multi-date Landsat data. The LULC result suggests that most land cover type changes are dedicated to bare land with a 24.83 km2 gain (+80.87%). The result demonstrates that the main changing factors of the bare land are population/precipitation and temperature/population.

Additionally, the effect of LULC change on seasonal LST and urban heat island (UHI) is also analyzed in this study. The result witnessed a significant rise of LST in both the summer and winter seasons of about 12.87 °C and 14.2 °C, respectively. The urban thermal field variance index (UTFVI) shows the strongest zone in the central area and no UTFVI zone in the surrounding region.

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