Monitoring spatial pattern of land surface thermal characteristics and urban growth: A case study of King Williams using remote sensing and GIS

被引:23
|
作者
Willie, Yanga A. [1 ]
Pillay, Rajendran [1 ]
Zhou, L. [2 ]
Orimoloye, Israel R. [1 ,3 ]
机构
[1] Univ Ft Hare, Dept Geog & Environm Sci, Private Hag X1314, ZA-5700 Alice, Eastern Cape Pr, South Africa
[2] Univ Ft Hare, Risk & Vulnerabil Sci Ctr, Alice, South Africa
[3] Univ Free State, Fac Nat & Agr Sci, Ctr Environm Management, POB 339, ZA-9300 Bloemfontein, South Africa
关键词
Urbanization; Surface heat islands; Urban heat island; LST; NDVI; NDBI; USE/LAND COVER CHANGES; HEAT-ISLAND; CLIMATE-CHANGE; BUILT-UP; TEMPERATURE; VEGETATION; IMPACTS; REGION; INDEX; TM;
D O I
10.1007/s12145-019-00391-2
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The world is currently experiencing unprecedented urban growth, industrialization, and the perceived higher standard of living that is often associated with access to better infrastructure. "Surface Heat Island (SHI) is a phenomenon where urban areas experience higher surface temperatures compared to the surrounding rural areas. The presence of the SHI in urban areas in most cases has a negative impact not only on city dwellers, but also on the environment and the economy. This study aimed at evaluating SHI in King Williams Town by studying the relationship between land surface temperatures, land cover and land cover indices. The derived indices are the Normalized Difference Vegetation Index (NDVI) and Normalized Difference Built-up Index (NDBI), these indices were selected because they are representative of the land surface features." This study was conducted for the King Williams Town (KWT) study area between the years 1995 and 2018, the land surface temperature was derived from Landsat ETM + high thermal band data. The findings from this study provided an idea on the correlation between satellite derived land surface temperature and the land modification, which occurred during the urbanization of King Williams Town during 23-year period between 1995 and 2018. The built-up land category proved to be the most influential or significant in the development of high land surface temperature levels, while vegetation had an opposite effect as a series of data sets illustrated that vegetated areas had a cooling effect on the surface. Water bodies in the study area had insignificant effect on the surface temperature levels while the grass lands were not as cooling as the vegetation but did provide for a cooling environment on the study area.
引用
收藏
页码:447 / 464
页数:18
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