Retrieval of Land Surface Temperature of Lahore Through Landsat-8 TIRS Data

-u-Minallah, Muhammad Nasar

doi:10.46660/ojs.v10i1.220

Cited by 5 publications

(2 citation statements)

References 5 publications

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“…The Landsat 5 TM imagery thermal infrared band 6 has a spatial resolution of 120 m, while Landsat 8 TIRS image thermal infrared band (10 and 11) has a spatial resolution of 100 m. These two thermal infrared bands (6 and 10) were resampled to match the optical bands by using the algorithm of nearest neighbor with a size of pixel is 30 m. In order to analyze the changes in land use (LU) and LST distribution patterns in the study area, the NDBI and NDVI indices were useful for determining the relationship with resultant land surface temperature. (Nasar-u-Minallah, 2019).…”

Section: Methodsmentioning

confidence: 99%

Exploring the Relationship Between Land Surface Temperature and Land Use Change in Lahore Using Landsat Data

Nasar-u-Minallah¹

2020

Pak. j. sci. ind. res. Ser. A: phys. sci.

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The present study focuses on determining the correlation of land surface temperature (LST) with normalized difference builtup index (NDBI) and normalized difference vegetation index (NDVI) of Lahore, a metropolitan city of Pakistan using landsat 5 and 8 dataset. This study also categorizes different types of land use through supervised image classification scheme and maximum likelihood algorithm (MLA), and assess the correlation between LST and land use type of different classes. The results of the study indicate that modifications in type of land use altered spatial variations of land surface temperature in 1990 and 2015. The findings also show that the ever increasing temperature caused by impervious surfaces such as builtup area, roads, construction sites and vacant land considerably contributes to heat island effect. However, vegetation cover, green and blue spaces decrease LST and effectively relieve the effect of heat island. LST builds a strong positive correlation with NDBI and strong negative correlation with NDVI. Based on the regression analysis between LST and NDBI and NDVI, these indices can be utilized as a sign to assess the impact of LU changes on temperature. The results further indicates that LST changes follow the pattern of LU changes in Lahore and the warmness intensity has been observed highest in the high density builtup area and vacant land, while low at the green and blue spaces. The analysis reveals that an increase in LST by 1.98 °C during the period of 25 years at the rate of 0.079 °C/year in high density builtup area was due to the excessive increase in settlement growth. The study concludes that change of land use has an effect on the LST in Lahore.

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Section: Methodsmentioning

confidence: 99%

Exploring the Relationship Between Land Surface Temperature and Land Use Change in Lahore Using Landsat Data

Nasar-u-Minallah¹

2020

Pak. j. sci. ind. res. Ser. A: phys. sci.

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“…Lahore district is located in the north-eastern part of Punjab province, Pakistan and located at 31°15′ to 31°43′ N latitudes and 74°10′ to 74°39′ E, E longitudes (Minallah, 2019). As a growing region, it is a prestigious cultural and academic region of Pakistan.…”

Section: Methodsmentioning

confidence: 99%

Spatio-Temporal Analysis of Areas Vulnerable to Urban Flooding: A Case Study of Lahore, Pakistan

Zia

Shirazi

2019

IJEEG

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Identification of existing hotspots is one of the principal steps for evolving strategy to mitigate urbanflooding, an emerging problem in mega cities of developing countries. Therefore, this paper aims to provide aframework of assessing the spatio-temporal hotspots of urban flooding incidents in Lahore district, Punjab, Pakistan.For this purpose, a database was created by gathering information of sore points by a governmental body, Water andSanitation Agency (WASA) to execute spatio-temporal analysis of urban flooding through hotspot analysis in spatialanalyst tool box in Arc GIS. Results show that urban flooding occurs in each town of Lahore excluding Wahga town.Among all affected towns of Lahore, Data Gunj Bakhsh town is noted as a highly affected area accounting 27 percentof urban flooding incidents during monsoon period from 2012-2017. Temporal study also shows an overall increasingtrend for incidents of urban flooding during 2012-2017. Moreover, detailed study shows that month of August isnoteworthy for urban flooding which is consistently increasing.

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Predicting the Impact of Land Use Changes on Thermal Environment in Lahore, Pakistan: Implications for Urban Planning

Jabbar,

Nasar-u-Minallah,

Yusoff

2024

GES

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Land use changes significantly threaten urban areas, especially in developing countries such as Pakistan, impacting the thermal environment and comfort of human life. The ongoing transformations in cities such as Lahore, the second largest and rapidly expanding urban center in Pakistan, are alarming due to the removal of green cover and the disruption of ecological structures. In response to these concerns, this study was conducted to assess and predict the implications of observed land use changes in Lahore. The analysis employed three Landsat images from 1990, 2005, and 2020, using ArcGIS and Idrisi Selva software. The results show that the built-up area increased almost 100% (16.44% to 32.48%) during the last three decades. Consequently, a substantial shift from low to medium and medium to high degrees of LST was observed. The projections indicate a further 50% expansion of the built-up area, encroaching upon green cover until 2050, shifting more areas under a higher LST spectrum. So, the study concludes that Lahore is facing imminent threats from rapid land use changes caused by higher land surface temperature in the study area, necessitating prompt attention and decisive action. The study area is at risk of losing its conducive environment and the desirable uniformity of the thermal environment. Therefore, it is recommended that green cover be strategically enhanced to offset the rise in built-up areas and ensure a sustainable thermal environment.

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Retrieval of Land Surface Temperature of Lahore Through Landsat-8 TIRS Data

Cited by 5 publications

References 5 publications

Exploring the Relationship Between Land Surface Temperature and Land Use Change in Lahore Using Landsat Data

Exploring the Relationship Between Land Surface Temperature and Land Use Change in Lahore Using Landsat Data

Spatio-Temporal Analysis of Areas Vulnerable to Urban Flooding: A Case Study of Lahore, Pakistan

Predicting the Impact of Land Use Changes on Thermal Environment in Lahore, Pakistan: Implications for Urban Planning

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