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International Conference on

Recent Trends in Environmental Sustainability

ESCON22/CDMP/05
Assessment of land use land cover changes and relation with land surface temperature
in Southern Punjab, Pakistan using multispectral remote sensing data

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Sajjad Hussain* , Muhammad Mubeen , Ashfaq Ahmad , Hamid Majeed , Hafiz Mohkum
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Hammad , Muhammad Amjad , Iftikhar Ahmad , Shah Fahad , Naveed Ahmad , Wajid
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Nasim
1 Department of Environmental Sciences, COMSATS University Islamabad, Vehari Campus,
Pakistan-61100
2 Asian Disaster Preparedness Center (ADPC), Bangkok, Thailand
3 Department of Agronomy, University of Haripur, Khyber Pakhtunkhwa, Pakistan
4Department of Zoology, University of Education, Vehari Campus, Pakistan
5 Department of Agronomy, Faculty of Agriculture and Environment, The Islamia University
of Bahawalpur (IUB), Punjab, Pakistan
Correspondence: sajjad7403@gmail.com
Abstract

The land surface temperature (LST) is a phenomenon in which an urban system’s microclimate
heats up expressively quicker than its rural environments. The development of built-up areas
has a significant impact on land use/land cover (LULC) by changing the vegetation area into
commercial and residential regions as well as their related infrastructure; this escalates the LST.
The main objective of this research is to study the effect of LULC changes on LST of Southern
Punjab by using remote sensing (RS) data. Temporal satellite datasets for the years (1987,
1997, 2007 and 2017) were used for the identification of LST and vegetation indices in study
area. Landsat images were also used to compute the LST, normalized difference built-up index
(NDBI), normalized difference vegetation index (NDVI) and normalized difference water
index (NDWI) maps. The built-up area was increased from 29620 ha (3.63 %) to 88038 ha
(10.8 %) between the years 1987 to 2017. In the years 1987, 1997, 2007 and 2017, LST values
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showed ranges between 12-42 C, 11-44 C, 11-45 C and 11-47 C respectively. In present
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study, regression coefficients (R ) between NDVI and LST 0.81, 0.78, 0.84 and 0.76 were
observed in 1987, 1997, 2007 and 2017 respectively. This research shows that NDWI and
NDVI correlated negatively with less LST but NDBI correlated positively with high LST. The
result of this study also provides vital information about LULC, LST and will help policy
makers to develop policies to effectively manage the land resources.
Keywords: Normalized difference vegetation index; land surface temperature; remote sensing;
normalized difference water index; geographic information system; normalized difference
built-up index

Department of Environmental Sciences, COMSATS University Islamabad, Vehari Campus

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