Evaluating Spatio-temporal Dynamics in LULC and its Implications on Land Surface Temperature of Swat valley, Eastern Hindukush

This study focuses on spatio-temporal variability of land use land cover (LULC) and its impact on Land Surface Temperature (LST) of Swat valley, eastern Hindukush. Global warming has profound impacts on northern areas of Pakistan. Being the region of a large number of alpine glaciers and snowy peaks, this region is particularly susceptible to climate change. The country’s economy is mainly based on agriculture. However, due to rapid population growth, LULC is changing at the cost of increasing the built environment and deforestation. Rapid urbanization and uncontrolled deforestation are highly contributing to the elevation of average temperature. This rise in temperature results in a decrease in snow cover by accelerating the snow melting process which often results in increasing barren land. Hence, LULC and LST are studied synergistically in this research. This study is based on past one decade and six years’ time series data for 2013, 2015, 2017, 2019, 2021 and 2023 was taken for detail analysis. For LULC analysis, supervised classification is used by applying Landsat 8/9 (OLI/TIRS) algorithms. Accuracy assessment is carried out for ground validation. LST is calculated by using the Thermal Band and Metadata of Landsat 8/9 (OLI). These parameters were correlated and analyzed by using Pearson’s correlation. The study area has observed considerable change in LULC. Significant growth has been observed in built-up areas from 1545575 km2 in 2013 to 242208 km2 in 2023, with gradual reduction in area under vegetation. The study area has observed increasing trend in LST from 16.5⁰C in 2013 to 26⁰C in 2023. The results of the analysis shows a strong correlation between these parameters.

Authors

Institutions

Publication Details

Journal
International Journal of Engineering and Geosciences
Published
2025-07-19
DOI
https://doi.org/10.26833/ijeg.1666208
Citations
4
Primary Topic
Urban Heat Island Mitigation
Type
article
Field-Weighted Citation Impact
3.20

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluating Spatio-temporal Dynamics in LULC and its Implications on Land Surface Temperature of Swat valley, Eastern Hindukush

Atta-ur Rahman, Hajra Ambreen
4 citations
International Journal of Engineering and Geosciences
Urban Heat Island Mitigation
3.20
article

Evaluating Spatio-temporal Dynamics in LULC and its Implications on Land Surface Temperature of Swat valley, Eastern Hindukush

Atta-ur Rahman, Hajra Ambreen
article en
4 citations

Abstract

This study focuses on spatio-temporal variability of land use land cover (LULC) and its impact on Land Surface Temperature (LST) of Swat valley, eastern Hindukush. Global warming has profound impacts on northern areas of Pakistan. Being the region of a large number of alpine glaciers and snowy peaks, this region is particularly susceptible to climate change. The country’s economy is mainly based on agriculture. However, due to rapid population growth, LULC is changing at the cost of increasing the built environment and deforestation. Rapid urbanization and uncontrolled deforestation are highly contributing to the elevation of average temperature. This rise in temperature results in a decrease in snow cover by accelerating the snow melting process which often results in increasing barren land. Hence, LULC and LST are studied synergistically in this research. This study is based on past one decade and six years’ time series data for 2013, 2015, 2017, 2019, 2021 and 2023 was taken for detail analysis. For LULC analysis, supervised classification is used by applying Landsat 8/9 (OLI/TIRS) algorithms. Accuracy assessment is carried out for ground validation. LST is calculated by using the Thermal Band and Metadata of Landsat 8/9 (OLI). These parameters were correlated and analyzed by using Pearson’s correlation. The study area has observed considerable change in LULC. Significant growth has been observed in built-up areas from 1545575 km2 in 2013 to 242208 km2 in 2023, with gradual reduction in area under vegetation. The study area has observed increasing trend in LST from 16.5⁰C in 2013 to 26⁰C in 2023. The results of the analysis shows a strong correlation between these parameters.

International Journal of Engineering and GeosciencesVol. 10(3)
University of Peshawar (PK)
University of Peshawar
Sustainable cities and communities
Openalex Percentile: Top 8%
Urban Heat Island Mitigation
3.20
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.