Seasonality in the daytime and night-time intensity of land surface temperature in a tropical city area

被引:56
作者
Ayanlade, Ayansina [1 ]
机构
[1] Obafemi Awolowo Univ, Dept Geog, Ife, Nigeria
关键词
Urban heat island; Seasonality; MODIS; Nigeria; URBAN HEAT-ISLAND; GREEN AREAS; MODIS; URBANIZATION; CHINA; VEGETATION; PRODUCTS; SHANGHAI; PATTERNS; IMPACTS;
D O I
10.1016/j.scitotenv.2016.03.027
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Variations in urban land surface temperature (LST) links to the surrounding rural areas result to urban heat island (UHI), which is a global problem challenging both cities in develop and developing countries. Satellite data from the Moderate Resolution Imaging Spectroradiometer (MODIS), covering the period between 2002 and 2013 were analysed to examine seasonal variability in the daytime and night-time intensity of urban heat island (UHI), using Lagos metropolitan city of Nigeria as a case study. Contribution index (CI) and landscape index (LI) were used to estimate the LST contributions from non-urban and urban areas to UHI and assess the relationship between the Normalized Difference Vegetation Index (NDVI) and LST. The LI showed that both non-urban and urban areas contribute greatly to strengthen the intensity of LST during the daytime (with LI < 1.0) and much more during the daytime in the dry seasons (LI = 0.13 in the year 2013). The correlation analysis showed seasonal variation in the relationship (R-2) between NDVI and the LST for both day and night times. The highest R-2 values were recorded for daytime, especially during the wet season (R-2 > 0.90), while R-2 were very low in the night-time especially during dry season. The study indicates that reduction in vegetal cover in Lagos urban areas altered the terrestrial thermal and aerodynamic processes hence resulted in an intensification of UHI in the metropolitan city. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:415 / 424
页数:10
相关论文
共 42 条
[1]   Vulnerability of poor urban coastal communities to flooding in Lagos, Nigeria [J].
Adelekan, Ibidun O. .
ENVIRONMENT AND URBANIZATION, 2010, 22 (02) :433-450
[2]   Calculating energy-saving potentials of heat-island reduction strategies [J].
Akbari, H ;
Konopacki, S .
ENERGY POLICY, 2005, 33 (06) :721-756
[3]  
[Anonymous], LAG STAT CLIM CHANG
[4]  
[Anonymous], 2014, Urban Population Growth
[5]  
[Anonymous], 2014, WORLD URB PROSP
[6]   Numerical modelling of urban heat-island intensity [J].
Atkinson, BW .
BOUNDARY-LAYER METEOROLOGY, 2003, 109 (03) :285-310
[7]   Evaluation of the intensity of the daytime surface urban heat island: how can remote sensing help? [J].
Ayanlade, Ayansina ;
Jegede, O. O. .
INTERNATIONAL JOURNAL OF IMAGE AND DATA FUSION, 2015, 6 (04) :348-365
[8]  
Balogun A. A., 2010, GLOBAL HLTH ACTION, V3, P10
[9]  
[陈利顶 CHEN LiDing], 2006, [生态学报, Acta Ecologica Sinica], V26, P1444
[10]   MODIS detected surface urban heat islands and sinks: Global locations and controls [J].
Clinton, Nicholas ;
Gong, Peng .
REMOTE SENSING OF ENVIRONMENT, 2013, 134 :294-304