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Modelling of Land Use/Cover and LST Variations by Using GIS and Remote Sensing: A Case Study of the Northern Pakhtunkhwa Mountainous Region, Pakistan; Modelling of Land UseCover and LST Variations by Using GIS and Remote Sensing A Case Study of the Northern Pakhtunkhwa Mountainous Region, Pakistan.pdf
Rehman, Akhtar; Qin, Jun; Shafi, Sedra; Khan, Muhammad Sadiq; Ullah, Siddique; Ahmad, Khalid; Rehman, Nazir Ur; Faheem, Muhammad
2022-07
Source PublicationSENSORS
Volume22Issue:13Pages:4965
AbstractAlteration in Land Use/Cover (LULC) considered a major challenge over the recent decades, as it plays an important role in diminishing biodiversity, altering the macro and microclimate. Therefore, the current study was designed to examine the past 30 years (1987-2017) changes in LULC and Land Surface Temperature (LST) and also simulated for next 30 years (2047). The LULC maps were developed based on maximum probability classification while the LST was retrieved from Landsat thermal bands and Radiative Transfer Equation (RTE) method for the respective years. Different approaches were used, such as Weighted Evidence (WE), Cellular Automata (CA) and regression prediction model for the year 2047. Resultantly, the LULC classification showed increasing trend in built-up and bare soil classes (13 km(2) and 89 km(2)), and the decreasing trend in vegetation class (-144 km(2)) in the study area. In the next 30 years, the built-up and bare soil classes would further rise with same speed (25 km(2) and 36.53 km(2)), and the vegetation class would further decline (-147 km(2)) until 2047. Similarly for LST, the temperature range for higher classes (27 -< 30 degrees C) increased by about 140 km(2) during 1987-2017, which would further enlarge (409 km(2)) until 2047. The lower LST range (15 degrees C to <21 degrees C) showed a decreasing trend (-54.94 km(2)) and would further decline to (-20 km(2)) until 2047 if it remained at the same speed. Prospective findings will be helpful for land use planners, climatologists and other scientists in reducing the increasing LST associated with LULC changes.
Department城市与区域生态国家重点实验室 ; 城市与区域生态国家重点实验室
KeywordSURFACE TEMPERATURE RETRIEVAL URBAN HEAT ISLANDS COVER CHANGE SPATIAL-PATTERN URBANIZATION CLASSIFICATION IMPACT MITIGATION ALGORITHM NETWORKS
Document Type期刊论文
Identifierhttps://ir.rcees.ac.cn/handle/311016/47300
Collection城市与区域生态国家重点实验室
Corresponding AuthorQin, Jun
Affiliation1.China Univ Geosci, Sch Environm Studies, Wuhan 430074, Peoples R China
2.Cent South Univ, Sch Geosci & Informat Phys, Changsha 410083, Peoples R China
3.Chinese Acad Sci, Res Ctr Ecoenvironm Sci, State Key Lab Urban & Reg Ecol, Beijing 100085, Peoples R China
4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
5.COMSATS Univ Islamabad CUI, Dept Environm Sci, Abbottabad Campus, Abbottabad 22060, Pakistan
Recommended Citation
GB/T 7714
Rehman, Akhtar,Qin, Jun,Shafi, Sedra,et al. Modelling of Land Use/Cover and LST Variations by Using GIS and Remote Sensing: A Case Study of the Northern Pakhtunkhwa Mountainous Region, Pakistan, Modelling of Land UseCover and LST Variations by Using GIS and Remote Sensing A Case Study of the Northern Pakhtunkhwa Mountainous Region, Pakistan.pdf[J]. SENSORS,2022,22(13):4965.
APA Rehman, Akhtar.,Qin, Jun.,Shafi, Sedra.,Khan, Muhammad Sadiq.,Ullah, Siddique.,...&Faheem, Muhammad.(2022).Modelling of Land Use/Cover and LST Variations by Using GIS and Remote Sensing: A Case Study of the Northern Pakhtunkhwa Mountainous Region, Pakistan.SENSORS,22(13),4965.
MLA Rehman, Akhtar,et al."Modelling of Land Use/Cover and LST Variations by Using GIS and Remote Sensing: A Case Study of the Northern Pakhtunkhwa Mountainous Region, Pakistan".SENSORS 22.13(2022):4965.
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