拉合尔城市热岛(UHI)的确定与缓解(基于Landsat 8&9的比较研究)

Saba Islam, Prof.Dr. Shaker Mahmood Mayo, Prof.Dr.M. Atiq Ur Rahman, Urooj Afzal, M. Ali
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摘要

术语“城市热岛”(UHI)指的是一个城市或大都市区明显比其周围的温度高。热浪是与热岛病相关的最明显的危害之一,在过去二十年中呈指数级加剧。研究的总体方法最初是基于对文献和定性研究的回顾。这些发现被应用到案例研究中,以获得经验证据。本研究利用多数据集调查了巴基斯坦拉合尔城市化的时空趋势及其对城市热岛指数的影响。通过识别热驱动因素并模拟空间格局,可以直观地了解开发模式与热物性之间的直接关系。利用地理信息系统和遥感技术对多时相Landsat TM/OLI卫星图像进行处理,识别热点。它还使用归一化植被指数(NDVI)等光谱指数来调查城市绿地。研究结果表明,拉合尔的城市化趋势在现有区域和新规划区域都在加剧,这增加了土地利用规划的压力。地表温度(LST)与NDVI之间的负相关证实了城市扩张以牺牲绿地为代价,重塑和聚集了拉合尔的城市热岛指数。将这些方法结合起来,制定了缓解城市热岛问题的战略,有助于各利益攸关方,包括学术界、发展当局、规划者和建筑环境从业人员之间的沟通。与Landsat 8相比,Landsat 9的LST计算被证明是有效的,这可能是由于Landsat系列建筑设计在空间和频谱域上的改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Determination and Mitigation of Urban Heat Island (UHI) In Lahore (A comparative Study of Landsat 8&9)
The term "Urban Heat Island" (UHI) refers to a city or metropolitan area that is significantly warmer than its surroundings. Heatwaves are one of the most visible hazards associated with UHI, that intensified exponentially over the last two decades. The overall approach of the study is initially based on a review of the literature and qualitative studies. The findings were applied to the case study to obtain empirical shreds of evidence. The study investigated the spatiotemporal urbanization trends and their impacts on UHI in Lahore, Pakistan, using multiple datasets. By identifying thermal drivers and simulating the spatial pattern, the direct relationship between development patterns and thermal properties can be visualized. To identify hot spots multi-temporal Landsat TM/OLI satellite images were processed using GIS and remote sensing techniques. It also investigates urban green spaces using spectral indices like the Normalized Difference Vegetation Index (NDVI). The findings indicate that Lahore's urbanization trend is intensifying in both existing and newly proposed zones which increases the pressure on land use planning. The negative correlation between Land Surface Temperature (LST) and NDVI confirms urban sprawl at the expense of green spaces, reshaping and aggregating the UHI profile of Lahore. These methodologies were combined to create UHI mitigation strategies that may aid communication among various stakeholders, including those in academia, development authorities, planners, and practitioners of the built environment. LST calculation by Landsat 9 proved efficient in comparison to Landsat 8 which may be due to improvement in spatial and spectral domain in architectural design Landsat series.
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