نوع مقاله : مقاله پژوهشی
موضوعات
عنوان مقاله English
نویسندگان English
Rapid and uncontrolled urbanization in the humid megacities of northern Iran, such as Rasht, has transformed agricultural and green lands into impermeable surfaces, intensifying the urban heat island (UHI) effect and reducing the urban quality of life. This study examines the long-term dynamics of land use and land cover (LULC) and their impact on land surface temperature (LST) patterns in Rasht from 2000 to 2024. Thermal data from Landsat satellites were used to extract LST with sensor-specific algorithms. Multi-temporal mosaicking and radiometric normalization were applied to address SLC errors in ETM+. LULC and urban structure maps were generated using Landsat and Sentinel-2 imagery, incorporating spectral indices such as NDVI, NDBI, DBI, and EBBI. The study examined the correlations between land cover/urban structure and surface temperature. Results show that built-up areas increased from 41% to 63%, while green cover and agricultural lands decreased, correlating with a significant rise in LST and the highest average temperature recorded in 2016. A strong negative correlation between NDVI and LST (-0.7 to -0.8) and a high positive correlation between construction indices and LST (0.6 to 0.8) highlight the role of impermeable surfaces and fragmented green buffers in urban warming. The study suggests enhancing green-blue networks (including wetlands and agricultural lands), developing continuous green corridors, and utilizing reflective and permeable materials as key strategies to improve thermal resilience and support climate-responsive urban planning in Rasht.
کلیدواژهها English