Impact of urbanization and land cover change on urban climate: Case study of Nigeria

被引:39
作者
Ahmed, Hassan Audu [1 ,2 ]
Singh, Sudhir Kumar [3 ,4 ]
Kumar, Mukesh [1 ]
Maina, Mustapha Saleh [1 ]
Dzwairo, Rimuka [4 ]
Lal, Deepak [1 ]
机构
[1] SHUATS, Ctr Geospatial Technol, Allahabad, UP, India
[2] Fed Univ Gashua, Dept Geog, Gashua, Yobe State, Nigeria
[3] Univ Allahabad, K Banerjee Ctr Atmospher & Ocean Studies, Nehru Sci Ctr, IIDS, Allahabad 211002, Uttar Pradesh, India
[4] Durban Univ Technol, Civil Engn Midlands, POB 101112, ZA-3209 Imbali, South Africa
关键词
EARTH OBSERVATION DATASETS; HEAT-ISLAND; SURFACE TEMPERATURE; DYNAMICS; CITY;
D O I
10.1016/j.uclim.2020.100600
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The aim of work was to quantify the impact of urbanization on Land Surface Temperature (LST) of Potiskum and Environs, Yobe State, Nigeria. Remotely sensed data of Landsat 7 Enhanced Thematic Mapper (ETM+) of April 2003, April 2008 and Landsat 8 OLI of April 2015 coupled with meteorological data were used to study the LST. The maximum likelihood classifier was employed to classify the satellite data. Less built-up expansion from 2003 to 2008 compared to 2008–2015 was observed. The validation was performed with the available meteorological data of the stations. The rapid population growth is attributed to expansion of the built-up area and migration of rural people to search employment opportunities and good life. The increase in vegetation cover was witnessed in Potiskum and Environs, hence it has some impact on LST. The LST in the urban area showed low value due to afforestation and adoption of good policies to combat with rise in temperature in urban areas. Therefore, the LST classes of 30 °C–40 °C and > 40 °C showed decrease of area covered from 2003 to 2015. The result shows that in 2003, 34.23 °C of LST was observed while 35.29 °C and 35.60 °C of LST values were also observed in 2008 & 2015, respectively. © 2020 Elsevier B.V.
引用
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页数:17
相关论文
共 39 条
[11]   Assessment of urban heat islands (UHI) of Noida City, India using multi-temporal satellite data [J].
Kikon, Noyingbeni ;
Singh, Prafull ;
Singh, Sudhir Kumar ;
Vyas, Anjana .
SUSTAINABLE CITIES AND SOCIETY, 2016, 22 :19-28
[12]  
Kumar M., 2018, Remote Sensing Applications: Society and Environment, V10, P224, DOI DOI 10.1016/J.RSASE.2018.04.002
[13]   Drainage morphometric analysis using open access earth observation datasets in a drought-affected part of Bundelkhand, India [J].
Kumar N. ;
Singh S.K. ;
Pandey H.K. .
Applied Geomatics, 2018, 10 (3) :173-189
[14]   Quantifying land use/land cover spatio-temporal landscape pattern dynamics from Hyperion using SVMs classifier and FRAGSTATS® [J].
Lamine, Salim ;
Petropoulos, George P. ;
Singh, Sudhir Kumar ;
Szabo, Szilard ;
Bachari, Nour El Islam ;
Srivastava, Prashant K. ;
Suman, Swati .
GEOCARTO INTERNATIONAL, 2018, 33 (08) :862-878
[15]   A new method to quantify surface urban heat island intensity [J].
Li, Huidong ;
Zhou, Yuyu ;
Li, Xiaoma ;
Meng, Lin ;
Wang, Xun ;
Wu, Sha ;
Sodoudi, Sahar .
SCIENCE OF THE TOTAL ENVIRONMENT, 2018, 624 :262-272
[16]   Urbanization effects on heat waves in Fujian Province, Southeast China [J].
Lin, Lijie ;
Ge, Erjia ;
Liu, Xiaoping ;
Liao, Weilin ;
Luo, Ming .
ATMOSPHERIC RESEARCH, 2018, 210 :123-132
[17]   Urban Heat Island Analysis Using the Landsat TM Data and ASTER Data: A Case Study in Hong Kong [J].
Liu, Lin ;
Zhang, Yuanzhi .
REMOTE SENSING, 2011, 3 (07) :1535-1552
[18]   Multicriteria decision approach for land use land cover change using Markov chain analysis and a cellular automata approach [J].
Myint, Soe W. ;
Wang, Le .
CANADIAN JOURNAL OF REMOTE SENSING, 2006, 32 (06) :390-404
[19]  
Naibbi A. I., 2014, International Journal of Geosciences, V5, P50
[20]  
Naibbi A I., 2015, Resources and Environment, V5, P192, DOI [10.4236/ijg.2014.51007, DOI 10.4236/IJG.2014.51007]