Rao Priyanka, Tassinari Patrizia, Torreggiani Daniele
Department of Agricultural and Food Sciences, University of Bologna, 40126, Bologna, Italy.
Heliyon. 2023 Jul 20;9(8):e18423. doi: 10.1016/j.heliyon.2023.e18423. eCollection 2023 Aug.
Urbanization strongly correlates with land use land cover (LULC) dynamics, which further links to changes in land surface temperature (LST) & urban heat island (UHI) intensity. Each LULC type influences UHI differently with changing climate, therefore knowing this impact & connection is critical. To understand such relations, long temporal studies using remote sensing data play promising role by analysing the trend with continuity over vast area. Therefore, this study is aimed at machine learning centred spatio-temporal analysis of LST and land use indices to identify their intra-urban interaction during 1991-2021 (summer) in Imola city (specifically representing small urban environment) using Landsat-5/8 imageries. It was found that LST in 2021 increased by 38.36% from 1991, whereas average Normalised Difference Built-up Index (NDBI) increased by 43.75%, associating with increased thermal stress area evaluated using ecological evaluation index. Major LULC transformations included green area into agricultural arable-land and built-up. Finally, the modelled output shows that built-up & vegetation index have strongly impacted LST. This study, help to understand the relative impact of land-use dynamics on LST at intra-urban level specifically with respect to the small urban settings. Further assisting in designing and regenerating urban contexts with stable configuration, considering sustainability and liveable climate, for benefit of health of public and fragile population in particular.
城市化与土地利用土地覆盖（LULC）动态密切相关，而这又进一步与地表温度（LST）变化和城市热岛（UHI）强度相联系。随着气候的变化，每种LULC类型对城市热岛的影响各不相同，因此了解这种影响及联系至关重要。为了理解此类关系，利用遥感数据进行的长期研究通过分析大面积区域的连续趋势发挥着重要作用。因此，本研究旨在以机器学习为中心，对LST和土地利用指数进行时空分析，以利用陆地卫星5/8影像识别1991 - 2021年（夏季）伊莫拉市（具体代表小型城市环境）内城市的相互作用。研究发现，2021年的LST比1991年增加了38.36%，而平均归一化差异建筑指数（NDBI）增加了43.75%，这与使用生态评价指数评估的热应力面积增加有关。主要的LULC转变包括绿地转变为农业耕地和建设用地。最后，模型输出表明，建设用地和植被指数对LST有强烈影响。本研究有助于了解城市内部层面土地利用动态对LST的相对影响，特别是对于小型城市环境而言。进一步协助设计和重建具有稳定布局的城市环境，考虑可持续性和宜居气候，尤其造福于公众和脆弱人群的健康。
