干旱区生态环境知识资源中心(Arid): Land surface temperature relation with normalized satellite indices for the estimation of spatio-temporal trends in temperature among various land use land cover classes of an arid Potohar region using Landsat data

Arid

DOI	10.1007/s12665-019-8766-2
	Land surface temperature relation with normalized satellite indices for the estimation of spatio-temporal trends in temperature among various land use land cover classes of an arid Potohar region using Landsat data
	Tariq, Aqil 1; Riaz, Iqra 2,3; Ahmad, Zulfiqar 4; Yang, Bisheng 1; Amin, Muhammad 2; Kausar, Rukhsana 3; Andleeb, Shaista 5; Farooqi, Muhammad Aslam 6; Rafiq, Muhammad 7
通讯作者	Ahmad, Zulfiqar
来源期刊	ENVIRONMENTAL EARTH SCIENCES
ISSN	1866-6280
EISSN	1866-6299
出版年	2020
卷号	79 期号:1
英文摘要	In terrestrial landscape architecture, land surface temperature (LST) is a key estimator of local climate, vegetation growth, and urban transition. It also represents the environmental factors that influence the land cover patterns using temperature variation over land use land cover (LULC) classes. In the present study, various geospatial techniques have been implemented to analyze the spatio-temporal trends in temperature among different LULC of an arid Potohar region of Pakistan using Landsat 7 (ETM+) and 8 (OLI & TIRS) and the relationship between different normalized satellite indices and LST. Results of the seasonal fluctuation in winter showed temperature range of 0-57, 0-50, 04-31 and 7-39 degrees C for the year 2000, 2005, 2010, and 2015, respectively, while the summer exhibited the temperature range of 24-48, 27- 57, 22-48, and 12-41 degrees C for the year 2000, 2005, 2010, and 2015, respectively. The analysis established a direct correlation between LST and normalized difference vegetation index and normalized difference water index, and an indirect correlation among LST and normalized difference soil index, normalized difference built-up index and built-up index. The findings are critically important for planning and development division for sustainable use of land resources for urbanization extension projects. Future research will highlight the change in the area occupied by different land featured classes and their impacts on LST over a specified period.
英文关键词	LST LULC Landsat GIS indices Remote sensing
类型	Article
语种	英语
国家	Peoples R China ; Pakistan
收录类别	SCI-E ; SSCI
WOS记录号	WOS:000511849200002
WOS关键词	URBAN HEAT-ISLAND ; LONG-TERM ; BUILT-UP ; VEGETATION ; DYNAMICS ; CLIMATE ; IMPACT ; PUNJAB ; WATER ; NDVI
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Water Resources
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/314416
作者单位	1.Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Hubei, Peoples R China; 2.PMAS Arid Agr Univ, IGEO, Rawalpindi 46300, Pakistan; 3.Int Islamic Univ Islamabad, Dept Environm Sci, Islamabad 44000, Pakistan; 4.Wuhan Univ, State Key Lab Water Resources & Water Hydropower, Wuhan 430072, Hubei, Peoples R China; 5.Pir Mehr Ali Shah Arid Agr Univ, Dept Wildlife Management & Environm Sci, Rawalpindi, Pakistan; 6.Islamia Univ Bahawalpur, Dept Entomol, UCA & ES, Bahawalpur 63100, Pakistan; 7.Fed Urdu Univ Arts Sci & Technol, Dept Comp Sci, Islamabad 44000, Pakistan
推荐引用方式 GB/T 7714	Tariq, Aqil,Riaz, Iqra,Ahmad, Zulfiqar,et al. Land surface temperature relation with normalized satellite indices for the estimation of spatio-temporal trends in temperature among various land use land cover classes of an arid Potohar region using Landsat data[J],2020,79(1).
APA	Tariq, Aqil.,Riaz, Iqra.,Ahmad, Zulfiqar.,Yang, Bisheng.,Amin, Muhammad.,...&Rafiq, Muhammad.(2020).Land surface temperature relation with normalized satellite indices for the estimation of spatio-temporal trends in temperature among various land use land cover classes of an arid Potohar region using Landsat data.ENVIRONMENTAL EARTH SCIENCES,79(1).
MLA	Tariq, Aqil,et al."Land surface temperature relation with normalized satellite indices for the estimation of spatio-temporal trends in temperature among various land use land cover classes of an arid Potohar region using Landsat data".ENVIRONMENTAL EARTH SCIENCES 79.1(2020).