拉合尔-巴基斯坦景观格局变化及其对地表温度上升的影响

K. Shakrullah, S.A.Shirazi
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引用次数: 0

摘要

本研究旨在利用GIS和遥感技术,评估拉合尔2017-2021年景观(土地利用、土地覆被)变化对地表温度的影响。采用监督最大似然分类法对土地利用和土地覆盖进行分类。地表温度的反演使用Landsat 8 (Band 10)产品2级。以植被覆盖和水体为代价,荒地和建成区分别是研究区最主要的土地利用类型。在2017-2021年期间,贫瘠土地类别从55.9%增加到63.81%,而建筑类别也从13.5%增加到18.46%。植被和水体均呈下降趋势。据报道,在2017年至2021年期间,植被类别从29.58%下降到17.6%。总体而言,水体中观察到的下降幅度为0.3%。2017年地表温度(LST)值比2021年下降3℃。与水体相比,建筑类和植被类在地表温度变化中起着重要作用。这些结果将有助于理解土地利用价值变化,并最终为土地管理部门、政策制定者和城市规划者提供帮助。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CHANGING LANDSCAPE PATTERNS AND ITS EFFECT ON RISING LAND SURFACE TEMPERATURE OF LAHORE-PAKISTAN
The study intaimsto evaluate the impact of landscape (Land use land cover) changeson Land surface temperature (LST) by using GIS and Remote sensing (RS) techniques in Lahoreduring 2017–2021.Supervised Maximum Likelihood classification method was used to classify theland use and land cover classes. For retrieval of Land surface temperature, the Landsat 8 (Band 10)product level 2 was used. Barren land and built- up area were identified as the most leading LULCclasses respectively in the study area at the cost of vegetation cover and water bodies. The barren landclass increased from 55.9% to 63.81% ,while the Built-up class also increases from 13.5% to 18.46%during 2017-2021.Whereas , vegetation and water bodies both are exhibiting the decline. The declinein vegetation class was reported from 29.58% to 17.6% over the time 2017 to 2021.Overall, 0.3 %decrease is observed in water bodies. In 2017 the 3◦C decline is observed in land surface temperature(LST) value than 2021.Built-up and Vegetation classes can contribute a significant role in variation ofLST in comparison to the water bodies. These results will be very helpful to understand the LULCchanges and eventually it will assist the land management authorities, policy maker and town plannersas well.
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