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Urban morphology detection and it's linking with land surface temperature: A case study for Tehran Metropolis, Iran
Sajad Khoshnoodmotlagh1, Alireza Daneshi1, Shervan Gharari2
1Department of Watershed management sciences and engineering, Gorgan University of agricultural sciences and natural resources, Gorgan, Iran.
Urban expansion significantly impacts local climate. This study used Local Climate Zones (LCZ) and Land Surface Temperature (LST) analysis in Tehran, finding built-up areas increase temperature while other zones decrease it.
Area of Science:
- Urban climatology
- Remote sensing
- Geographic information systems (GIS)
Background:
- Urban expansion and land cover alteration intensify local climate change.
- The Local Climate Zone (LCZ) framework classifies urban morphology and its thermal impact.
- Understanding the relationship between LCZ and Land Surface Temperature (LST) is crucial for urban planning.
Purpose of the Study:
- To investigate the effect of land cover changes on local climate in Tehran Metropolis.
- To map Local Climate Zones (LCZ) and analyze Land Surface Temperature (LST) variations.
- To explore the relationship between LCZ types and LST over time.
Main Methods:
- Utilized Landsat imagery (Landsat 5, 7, and 8) for LCZ mapping in Tehran.
- Classified LCZ and LST using remote sensing data for 1990, 2004, and 2018.
- Employed supervised classification with optical (OLI) and thermal (TIRS) data.
Main Results:
- Identified 13 LCZs from Landsat 5 and 14 LCZs from Landsat 7/8 imagery, with 62% overall accuracy.
- Built-up LCZs (compact high-rise, mid-rise, industrial) showed increased LST.
- Non-built-up LCZs, except bare land, exhibited decreased LST.
Conclusions:
- Tehran's urban structure significantly influences local LST.
- Combination of optical and thermal remote sensing data is effective for LCZ and LST classification in semi-arid urban environments.
- Findings support evidence-based urban planning to mitigate climate change impacts.
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