Land use land cover and land surface temperature changes and their relationship with human modification in Islamabad Capital Territory, Pakistan

Author:

Ullah W.1ORCID,Ullah S.1ORCID,Bräuning A.2ORCID,Javed M. F.1ORCID,Subhanullah M.3ORCID,Abdullah M.4ORCID,Sajjad R. U.5ORCID,Ullah R.6ORCID,Rahman A.7ORCID

Affiliation:

1. COMSATS University Islamabad, Pakistan

2. Friedrich-Alexander-University, Germany

3. Abdul Wali Khan University, Pakistan

4. Future University in Egypt, Egypt

5. Hazara University, Pakistan

6. Dr. Khan Shaheed Government Degree College, Pakistan; University of Malakand, Pakistan

7. Friedrich-Alexander-University, Germany; University of Malakand, Pakistan

Abstract

Abstract Human activities are altering the existing patterns of Land Use Land Cover (LULC) and Land Surface Temperature (LST) on a global scale. However, long-term trends of LULC and LST are largely unknown in many remote mountain areas such as the Karakorum. . The objective of our study therefore was to evaluate the historical changes in land use and land cover (LULC) in an alpine environment located in Islamabad Capital Territory, Pakistan. We used Landsat satellite pictures (namely Landsat 5 TM and Landsat 8 OLI) from the years 1988, 2002, and 2016 and applied the Maximum Likelihood Classification (MLC) approach to categorize land use classes. Land Surface Temperatures (LST) were calculated using the thermal bands (6, 10, and 11) of Landsat series data. The correlation between the Human Modification Index (HMI) and LULC as well as LST was evaluated by utilizing data from Google Earth Engine (GEE). Over the study period, the urbanized area increased by 9.94%, whilst the agricultural and bare soil areas decreased by 3.81% and 3.94%, respectively. The findings revealed a significant change in the LULC with a decrease of 1.99% in vegetation. The highest LST class exhibited a progressive trend, with an increase from 12.27% to 48.48%. Based on the LST analysis, the built-up area shows the highest temperature, followed by the barren, agricultural, and vegetation categories. Similarly, the HMI for different LST categories indicates that higher LST categories have higher levels of human alteration compared to lower LST categories, with a strong correlation (R-value = 0.61) between HMI and LST. The findings can be utilized to promote sustainable urban management and for biodiversity conservation efforts. The work also has the potential of utilizing it to protect delicate ecosystems from human interference and to formulate strategies and regulations for sustainable urban growth, including aspects of land utilization and zoning, reduction of urban heat stress, and urban infrastructure.

Publisher

FapUNIFESP (SciELO)

Reference60 articles.

1. Rapid urbanization and sustainability in Saudi Arabia: the case of Dammam metropolitan area;ABOUKORIN A.;Journal of Sustainable Development,2015

2. Modeling urban land cover growth dynamics using multi-temporal satellite images: a case study of Dhaka, Bangladesh;AHMED B.;ISPRS International Journal of Geo-Information,2012

3. Investigative spatial distribution and modelling of existing and future urban land changes and its impact on urbanization and economy;AKBAR T.A.;Remote Sensing,2019

4. Future of Abies pindrow in Swat District, Northern Pakistan;ALI K.;Journal of Forestry Research,2014

5. Atmospheric correction module: QUAC and FLAASH user’s guide. Version 4.7,2009

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3