Biophysical Impacts of Agricultural Lands on Land Surface Temperature in Karbala Province, Iraq
DOI:
https://doi.org/10.30526/39.4.4414Keywords:
Normalized Difference Vegetation Index, Modified Urban Thermal Field Variance Index, Agriculture cover change, Land Surface TemperatureAbstract
Agricultural land cover plays a crucial role in regulating land surface temperature, particularly in arid and semi-arid regions such as Karbala Governorate, Iraq. This project focuses on the analysis of changes in spatio-temporal agricultural land in the period 2015 to 2025 and determines how the transformation of agricultural land affects land surface temperature (LST) in western Karbala, Iraq. From 2015 to 2025, agricultural lands will increase considerably with the total vegetation area rising from 32.65 km² in 2015 to 152.75 km² in 2025. Additionally, areas with excellent ecological conditions improved from 18.25 km² to 24.57 km², indicating enhanced environmental stability due to agricultural expansion. The LST trends from 2019 to 2025 show a decrease of approximately 3-4 degrees Celsius for both the center and western areas of this study region. Additionally, mean comparison shows that areas with moderate-to-dense agricultural cover have lower LST than sites with less-than-optimal vegetation. Therefore, a negative relationship between agricultural cover and LST exists. An ecological assessment indicated that there has been a gradual improvement of the vegetation quality of this region, from degraded conditions in 2015 to near-normal conditions in 2025, based upon calculations of vegetation classification and UTFVI values that were less than zero. These findings illustrate how the development of agricultural lands has a substantial impact on temperature intensity and other environmental conditions in arid and semi-arid regions
References
1. Clark SD, Pontin F, Norman P. Is the spatial persistence of deprivation dependent on neighbouring areas? Area. 2025;57(1):e12903. https://doi.org/10.1111/area.12903
2. Wang Y, Ren Y. Cooling efficiency of urban green spaces across functional zones. Sustainability. 2025;17(6):2275. https://doi.org/10.3390/su17062275
3. Egidi E, Bristol D, Hassan K, Tissue D, Wright IJ, Nielsen UN. Influence of plant traits on soil microbial communities varies between arid and mesic grasslands. Plant Soil. 2024. https://doi.org/10.1007/s11104-024-06518-1
4. Food and Agriculture Organization of the United Nations. FAO launches first major global assessment of salt-affected soils in 50 years. FAO Newsroom. 2024. https://www.fao.org/newsroom/en
5. Haq F, Mark BG, Shum CK, Zeballos-Castellon G, Rahman G. Effectiveness of Billion Trees Tsunami afforestation projects in Pakistan. Environ Dev Sustain. 2024. https://doi.org/10.1007/s10668-024-04655-y
6. Lykhovyd PV, Sharii VO. Normalised difference moisture index in water stress assessment of maize crops. Agrology. 2024;7(1):21-26. https://doi.org/10.32819/024003
7. Hero Nasraldin MA, Amin, Salam Mahmud Nasir, Hemin Nasraldin MA. Remote sensing-based analysis of LST and NDVI correlation for the coolest and hottest month of 2023 in Khanaqen City. J Univ Raparin. 2024.
8. Shahad SH, Malik MI. Monitoring vegetation area in Wasit/Iraq using normalized difference vegetation index (NDVI). IAR J Eng Technol. 2025.
9. Yin Z, Liu Z, Liu X, Zheng W, Yin L. Urban heat islands and their effects on thermal comfort in the United States: New York and New Jersey. Ecol Indic. 2023;154:110765. https://doi.org/10.1016/j.ecolind.2023.110765
10. Radeef HA, Abdulameer IM. The water area of Sawa Lake as derived from land surface temperature and remote sensing data. Ibn Al-Haitham J Pure Appl Sci. 2023;36(1):100-112. https://doi.org/10.30526/36.1.2884
11. Gairola SU, Bahuguna R, Bhatt SS. Native plant species: a tool for restoration of mined lands. J Soil Sci Plant Nutr. 2023;23:1438-1448. https://doi.org/10.1007/s42729-023-01257-1
12. Al-Janabi AM, Al-Zubaidi MA. Evaluation of land cover changes in Karbala Governorate using remote sensing and GIS techniques. Karbala (Iraq): University of Karbala; 2024.
13. Wang X, Zhang Y, Wu D. Multiscale analysis of land surface temperature drivers. Remote Sens. 2023;15(7):1783. https://doi.org/10.3390/rs15071783
14. Unal Cilek M, Cilek A. Analyses of land surface temperature variability among local climate zones using Landsat-8 and ENVI-met. Sustain Cities Soc. 2021;69:102877. https://doi.org/10.1016/j.scs.2021.102877
15. Aya MR, Kadhim AA. Land surface temperature estimation from Landsat thermal infrared imagery in Karbala, Iraq. Iraqi Natl J Earth Sci. 2025;25(1):343-353. https://doi.org/10.33899/earth.2024.144879.1179
16. Araya T, Mlahlwa AV, Elbasit MAMA, Newete SW. Impact of Tamarix invasion on soil physicochemical properties. Sci Rep. 2022;12:5750. https://doi.org/10.1038/s41598-022-09756-3
17. Gerardo R, De Lima IP. Sentinel-2 satellite imagery-based assessment of soil salinity in irrigated rice fields. Agriculture. 2022;12(9):1490. https://doi.org/10.3390/agriculture12091490
18. Lu Y, Yue W, Liu Y, Huang Y. Urban spatial form and land surface temperature in Wuhan. Sustain Cities Soc. 2021;72:103070. https://doi.org/10.1016/j.scs.2021.103070
19. Chen TL, Lin ZH. Impact of land use types on spatial heterogeneity of extreme heat. Sustain Cities Soc. 2021;72:103005. https://doi.org/10.1016/j.scs.2021.103005
20. Ngarambe J, Oh J, Wu S, Santamouris M, Yun G. Urban heat island drivers in Seoul. Sustain Cities Soc. 2021;71:102953. https://doi.org/10.1016/j.scs.2021.102953
21. Su A, Sheriff G, Chakraborty T, Manya D. Disproportionate exposure to urban heat island intensity across major US cities. Nat Commun. 2021;12:2721. https://doi.org/10.1038/s41467-021-22799-5
22. Shih WY, Ahmad S, Chen YC, Lin TP, Mabon L. Spatial relationship between land development pattern and intra-urban thermal variations in Taipei. Sustain Cities Soc. 2020;62:102415. https://doi.org/10.1016/j.scs.2020.102415
23. Gorji T, Yildirim A, Hamzehpour N, Tanik A, Sertel E. Soil salinity analysis using Landsat-8 and Sentinel-2. Ecol Indic. 2020;112:106173. https://doi.org/10.1016/j.ecolind.2020.106173
24. Melillos G, Hadjimitsis DG. Using simple ratio vegetation index to detect infrastructures. Proc SPIE. 2020;11418:114180R. https://doi.org/10.1117/12.2558667
25. Yao L, Li T, Xu M, Xu Y. Spatiotemporal pattern of urban heat footprint in Beijing. Appl Geogr. 2021;133:102496. https://doi.org/10.1016/j.apgeog.2021.102496
26. Hong I, Hong J, Kwon EE, Yoon DK. Temporal dynamics of urban heat island in Seoul. Environ Pollut. 2019;254:112934. https://doi.org/10.1016/j.envpol.2019.07.102
27. Oishi Y. Urban heat island effects on moss gardens in Kyoto. Landsc Ecol Eng. 2019;15:177-184. https://doi.org/10.1007/s11355-019-00375-3
28. Cheng Y, Lung SC, Hwang JS. Heat warning thresholds using health risk increments. Environ Res. 2019;170:282-292. https://doi.org/10.1016/j.envres.2018.12.048
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Ibn AL-Haitham Journal For Pure and Applied Sciences

This work is licensed under a Creative Commons Attribution 4.0 International License.
licenseTerms





