贾兰达尔智慧城市建筑与绿地对地表温度的影响分析

Yukti Prashar, Reenu Sharma, Sumit Kumar, S. S. Hassan, B. Pateriya
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引用次数: 0

摘要

由于快速城市化,发展中国家的土地利用正在发生变化。城市无计划的城市化发展正在损害生态系统。利用Landsat卫星数据,分析了贾伦达尔市城市发展的时空特征及其对地表温度变化的影响。结果表明:城市面积增加,城市绿地面积缩小(UGS);UGS与LST呈负相关。在城市地区比例低而可达绿地比例高的地方,观察到地表温度下降。利用归一化植被指数(NDVI)研究了光谱变异性与植被生长率变化的关系。它的工作是跟踪绿色植被的生长,并发现绿色植物数量的变化。在NDVI值较低的地方,散点图显示地表温度较高。植被覆盖较少的密集城市地区NDVI值较低,城市地区NDVI值为负值。NDVI值高的地区植被密集,地表温度低。本研究的研究成果可应用于城市管理、规划、管理和研究项目。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ANALYZING THE IMPACT OF BUILT UP AND GREEN SPACES ON LANDSURFACE TEMPERATURE WITH SATELLITE IMAGES IN JALANDHAR SMART CITY
Land use in developing nations is shifting as a result of rapid urbanisation. The ecosystem is being harmed by the unplanned, urban development of cities. Utilizing data from Landsat, the present research examined the spatiotemporal urban growth in Jalandhar City and its impact on variations in land surface temperature (LST). The results indicate that urban regions have increased while urban green spaces have shrunk (UGS). UGS and LST have been found to be inversely correlated. Where there was a low percentage of urban areas and a high percentage of accessible green spaces, it was observed that the LST decreased. The link between spectral variability and changes in vegetation growth rate was studied using the NDVI (Normalized Difference Vegetation Index). It works on tracking the growth of green vegetation and spotting variations in the amount of greenery. Where NDVI value was low, the scatter plots indicate higher surface temperatures. The dense urban regions with little available vegetation cover were linked to the low NDVI number and the NDVI is negative in the urban area of Jalandhar. High NDVI values indicate regions with dense vegetation and low surface temperatures. The research findings of present study could be applied to urban administration, planning, management and research projects.
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