
تعداد نشریات | 31 |
تعداد شمارهها | 812 |
تعداد مقالات | 7,845 |
تعداد مشاهده مقاله | 35,814,138 |
تعداد دریافت فایل اصل مقاله | 8,128,404 |
Spatiotemporal Analysis of Land Surface Temperature (LST) and Normalized Difference Vegetation Index (NDVI) Dynamics in Central Guilan, Iran (1989–2023) | ||
Caspian Journal of Environmental Sciences | ||
مقالات آماده انتشار، اصلاح شده برای چاپ، انتشار آنلاین از تاریخ 19 مهر 1404 اصل مقاله (1.37 M) | ||
نوع مقاله: Research Paper | ||
شناسه دیجیتال (DOI): 10.22124/cjes.2025.9136 | ||
نویسندگان | ||
Seyyed Mahmood Hashemi* ؛ Seyyedeh Masoumeh Taherzadeh Kouzani | ||
Department of Environment, Faculty of Natural Resources, University of Guilan, Sowme-Sara, Guilan, Iran | ||
چکیده | ||
This study investigates the spatiotemporal dynamics of land surface temperature (LST) and vegetation cover, represented by the Normalized Difference Vegetation Index (NDVI), in Central Guilan Province, Northern Iran, a core part of the relic Hyrcanian biome, from 1989 to 2023. LST was retrieved from Landsat 5 TM and Landsat 8 OLI/TIRS, while NDVI was derived from red and near-infrared bands. Spatial autocorrelation of LST was assessed with Global Moran’s I, and Pearson correlation was applied to quantify LST–NDVI relationships. Results show a marked rise in mean LST from 18.48 °C in 1989 to 23.13 °C in 2023. Strong negative correlations between LST and NDVI were identified (r = –0.718 in 1989; r = –0.743 in 2023), confirming vegetation’s key role in regulating surface temperatures. Spatial clustering of thermal anomalies was intensified during the study period, with Moran’s I increasing from 0.39 to 0.68, indicating urban heat island (UHI) expansion. These findings demonstrate that how land transformation has altered regional microclimates and highlight the urgent need for sustainable planning to enhance climate resilience. Given Central Guilan’s location within the globally valuable Hyrcanian biome, effective conservation and adaptive land management are essential to protect its ecological integrity under ongoing climate and land-use pressures. | ||
کلیدواژهها | ||
Land surface temperature (LST)؛ NDVI؛ Moran’s I؛ Urban heat islands؛ Guilan Province | ||
مراجع | ||
Abdollahi, S 2019, Analysis and prediction of land use changes in coastal areas of Gilan Province, Iran. Environmental Sciences, 17(4): 1-14, https://envs.sbu.ac.ir/article_98069.html.
Aghsaei, H, Dinan, NM, Moridi, A, Asadolahi, Z, Delavar, M, Fohrer, N & Wagner, PD 2020, Effects of dynamic land use/land cover change on water resources and sediment yield in the Anzali wetland catchment, Gilan, Iran. Science of the Total Environment, 712: 136449, https://doi.org/10.1016/j.scitotenv. 2019.136449.
Alademomi, AS, Okolie, CJ, Daramola, OE, Akinnusi, SA, Adediran, E, Olanrewaju, HO, Alabi, AO, Salami, TJ & Odumosu, J 2022, The interrelationship between LST, NDVI, NDBI, and land cover change in a section of Lagos metropolis. Nigeria. Applied Geomatics, 14(2): 299-314.
Avdan, U & Jovanovska, G 2016, Algorithm for automated mapping of land surface temperature using LANDSAT 8 satellite data. Journal of Sensors, 2016(1): 1480307.
Azadeh, SR & Etemadi kia, H 2024, Modelling the Spatial Expansion of Urban Heat Islands in Rasht Metropolitan, Geography and Territorial Spatial Arrangement, 14(50): 29-54.
Badapalli, PK, Nakkala, AB, Gugulothu, S & Kottala, RB 2025, Dynamic land degradation assessment: Integrating machine learning with Landsat 8 OLI/TIRS for enhanced spectral, terrain, and land cover indices. Earth Systems and Environment, 9(1): 315-335.
Carvalho, R 2025, Green infrastructure planning. In: Handbook of Nature-Based Drought Solutions, Elsevier pp. 359-376.
Chander G, Markham BL, & Helder DL 2009, Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors. Remote Sensing of Environment. 113(5): 893-903.
Chen, Z, Li, X, Liu, X & Zhu, Z 2023, Assessing urban heat island dynamics and land surface temperature changes in rapidly urbanizing regions using multi-temporal remote sensing data. Remote Sensing of Environment, 286: 113388.
Clark, PJ & Hosking, JR 1986, Statistical methods for geographers. Wiley, New York.
Cracknell, AP 2007, Introduction to remote sensing. CRC Press.
Delgado-Capel, MJ, Egea-Cariñanos, P, & Cariñanos, P 2024, Assessing the relationship between land surface temperature and composition elements of urban green spaces during heat waves episodes in Mediterranean cities. Forests, 15(3): 463, https://doi.org/10.3390/f15030463
Eastman, JR 2009, IDRISI Taiga guide to GIS and image processing. Clark Labs, Clark University, Worcester, MA.
Elachi, C & Van Zyl, JJ 2021, Introduction to the physics and techniques of remote sensing. John Wiley & Sons.
Ellis, EC 2015, Ecology in an anthropogenic biosphere. Ecological Monographs, 85(3): 287-331.
Fallah Ghalhari, G & Dadashi Roudbari, A 2018, An investigation on thermal patterns in Iran based on spatial autocorrelation. Theoretical and Applied Climatology, 131(3): 865-876.
FAO 2021, The State of the World's Land and Water Resources for Food and Agriculture – Systems at breaking point. Food and Agriculture Organization, Rome.
Forman, RTT & Godron, M 1986, Landscape ecology. John Wiley & Sons, New York.
Francis, RA, Millington, JD, Perry, GL, & Mino,r ES, 2022, The Routledge handbook of landscape ecology. London: Routledge.
Gascon M, Cirach M, Martínez D, Dadvand P, Valentín A, Plasència A, Nieuwenhuijsen M 2016, Normalized difference vegetation index (NDVI) as a marker of surrounding greenness in epidemiological studies: The case of Barcelona city. Urban Forestry & Urban Greening, 19: 88-94.
Guha, S, & Dube, S 2021, A long-term seasonal analysis on the relationship between land surface temperature and normalized difference vegetation index in Raipur City, India. Science of the Total Environment, 755: 142522.
Haghighi Khomami, M, Bonyad, AE & Panahandeh, M 2023, Anzali Wetland Surface Area Evaluation Based on Landsat Time Series Data and NDWI Indices. Iranian Journal of Soil and Water Research, 54(1): 173-192, https://doi.org/10.22059/ijswr.2023.352988.669421.
Hoa, PV, Binh, NA, Thao, GTP, An, NN, Trinh, PT, Tuan, NQ & Hanh, NC 2025, Long‐term trend and seasonal cycles of gap‐free downscaled diurnal/nocturnal LST and the interaction to functional plant trait under tropical monsoon climate. Earth and Space Science, 12(2): e2024EA003888.
IPCC 2023, Climate Change 2023: Synthesis Report, Intergovernmental Panel on Climate Change, viewed 10 April 2025, https://www.ipcc.ch/report/ar6/syr.
Karimi Firozjaei, M, Mahmoodi, H & Jokar Arsanjani, J 2025, Daytime surface urban heat island variation in response to future urban expansion: An assessment of different climate regimes. Remote Sensing, 17(10): 1730.
Khosravi, R, Safari, H & Alavi, S 2017, Spatial analysis of land surface temperature using Moran’s I and Geographically Weighted Regression, Geographical Journal of Environmental Planning, 28(4): 47–64.
Komeh, Z, Hamzeh, S, Memarian, H, Attarchi, S, & Alavipanah, SK 2025, A remote sensing approach to spatiotemporal analysis of land surface temperature in response to land use/land cover change via Cloud Base and Machine Learning methods, Case study: Sari Metropolis, Iran. International Journal of Environmental Research, 19(3): 98.
Lee, J & Wong, DW 2001, Statistical analysis with ArcView GIS, John Wiley & Sons, New York.
Li, X, Zhou, Y & Ouyang, W 2021, Quantifying spatial patterns of urban heat islands using spatial autocorrelation metrics: A global perspective. Science of the Total Environment, 782: 146859.
Lillesand, T, Kiefer, RW & Chipman, J 2015, Remote sensing and image interpretation. John Wiley & Sons.
MohammadpourZeidi, A, & Gerami, MS 2025, Analysis of urban heat islands and the effects of land use changes and its synoptic patterns (Case study: Ramsar City). Advances in Meteorology, 2025(1): 8876372.
Mouton, TL, Leprieur, F, Floury, M, Stephenson, F, Verburg, P & Tonkin, JD 2022, Climate and land‐use driven reorganisation of structure and function in river macroinvertebrate communities. Ecography, 2022(3): e06148.
Naveh, Z & Lieberman, AS 1994, Landscape ecology: Theory and application. 2nd edition, Springer, New York.
Palafox-Juárez EB, López-Martínez JO, Hernández-Stefanoni JL, Hernández-Nuñez H 2021, Impact of urban land-cover changes on the spatial-temporal land surface temperature in a tropical City of Mexico. ISPRS International Journal of Geo-Information, 10(2):76.
Pandey S, Kumari N 2023, Prediction and monitoring of LULC shift using cellular automata-artificial neural network in Jumar watershed of Ranchi District, Jharkhand. Environmental Monitoring and Assessment, 195(1): 130.
Rahimi, E, Dong, P & Jung, C 2025, Global NDVI-LST correlation: Temporal and spatial patterns from 2000 to 2024. Environments, 12(2): 67.
Rizwan, AM & Dennis, LY 2008, A review on the generation, determination and mitigation of Urban Heat Island. Journal of environmental Sciences, 20(1): 120-128.
Roy, DP, Wulder, MA, Loveland, TR, Ce, W, Allen, RG, Anderson, MC, Helder, D, Irons, JR, Johnson, DM, Kennedy, R & Scambos, TA 2014, Landsat-8: Science and product vision for terrestrial global change research. Remote Sensing of Environment, 145: 154-172.
Santamouris, M 2020, Recent progress on urban overheating and heat island research. Integrated assessment of the energy, environmental, vulnerability and health impact. Synergies with the global climate change. Energy and Buildings, 207, p. 109482.
Shakiba, F, Rousta, I, Mazidi, A & Olafsson, H 2024, Spatial and temporal variation of day and night time land surface temperature and its drivers over Iran’s watersheds using remote sensing. Earth Science Informatics, 17(4): 3567-3587.
Shooshtari, SJ & Gholamalifard, M 2015, Scenario-based land cover change modelling and its implications for landscape pattern analysis in the Neka Watershed, Iran. Remote Sensing Applications: Society and Environment, 1: 1-19.
Smith, J, Johnson, D & Martinez, L 2023, Enhanced spatial and temporal analysis of LST using Sentinel-3 data. Remote Sensing Applications: Society and Environment, 29: 100871.
Sobrino JA, Jiménez-Muñoz JC, & Paolini L 2004, Land surface temperature retrieval from LANDSAT TM 5. Remote Sensing of environment. Remote Sensing of Environment, 90(4): 434-440.
Sobrino JA, Jiménez-Muñoz JC, Sòria G, Ruescas AB, Danne O, Brockmann C, Ghent D, Remedios J, North P, Merchant C, Berger 2016, Synergistic use of MERIS and AATSR as a proxy for estimating Land Surface Temperature from Sentinel-3 data. Remote Sensing of Environment, 179: 149-161.
Statistical Centre of Iran 2016, Iran's population and housing census-2016. Retrieved from https://www.unescap.org/sites/default/files/Session6_Iran_Population_and_Housing_Census2016_Census_WS_24-26Jan2018.pdf.
Sun, Z, He, C & Li, J 2020, Vegetation's mitigation role in land surface temperature: A global analysis based on remote sensing and climate data. Ecological Indicators, 117: 106593.
UN 2015, Transforming our world: The 2030 agenda for sustainable development, United Nations, viewed 14 May 2025, https://sdgs.un.org/2030agenda.
UN 2018, World urbanization prospects: The 2018 revision, United Nations Department of Economic and Social Affairs, Population Division, New York.
United Nations 2020, The sustainable development goals report 2020. viewed 20 May 2025, https:// unstats.un.org/sdgs/report/2020/.
USGS 2021, Landsat science data users handbook, United States Geological Survey, viewed 12 March 2025, https://www.usgs.gov/landsat-missions.
Weng, Q 2009, Thermal infrared remote sensing for urban climate and environmental studies: Methods, applications, and trends. ISPRS Journal of Photogrammetry and Remote Sensing, 64(4): 335–344.
Weng, Q, Fu, P & Gao, F 2021, Modelling and understanding urban land surface temperature and its relationships with land cover types using remote sensing data. ISPRS Journal of Photogrammetry and Remote Sensing, 171: 35–50.
Wu J 2021, Landscape sustainability science (II): Core questions and key approaches. Landscape Ecology. 36(8): 2453-85.
Wu, S, Wang, P, Tong, X, Tian, H, Zhao, Y, & Luo, M 2021, Urbanization-driven increases in summertime compound heat extremes across China. Science of the Total Environment, 799: 149166.
Yavari, AR, Darayi, L, Hahsemi, SM & Zebardast, L 2012, Iran: A fusion of mountains and deserts. Yaran Press, Tehran, Iran.
Zhou Y, Ren G 2011, Change in extreme temperature event frequency over mainland China, 1961− 2008. Climate Research, 50(2-3): 125-139.
Zhou, D, Zhao, S & Zhang, L 2022, Exploring the temporal dynamics of land surface temperature and urban heat islands in expanding cities. Environmental Research Letters, 17(2): 024015.
Zhu, S, Li, Y, Wei, S, Wang, C, Zhang, X, Jin, X, Zhou, X & Shi, X 2022, The impact of urban vegetation morphology on urban building energy consumption during summer and winter seasons in Nanjing, China. Landscape and Urban Planning, 228: 104576. | ||
آمار تعداد مشاهده مقاله: 5 تعداد دریافت فایل اصل مقاله: 2 |