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Remote Sensing for Land & Resources    2019, Vol. 31 Issue (4) : 190-198     DOI: 10.6046/gtzyyg.2019.04.25
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Study of the response characteristics of thermal environment with spatial and temporal changes of bare land in the mountain city
Qi CAO1, Manjiang SHI1(), Liang ZHOU2, Ting WANG3, Lijun PENG1, Shilei ZHENG1
1. College of Civil Engineering and Architecture, Southwest University of Science and Technology, Mianyang 621010, China
2. College of Surveying and Geographic Information, Lanzhou Jiaotong University, Lanzhou 730070, China
3. Institute of Geographic Science and Resources, Chinese Academy of Sciences, Beijing 100101, China
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Abstract  

Bare land is considered to be an important source causing urban heat island (UHI) in the urban underlying surface. However, quantitative description of the contribution of bare land to UHI in different periods of urbanization remains vague. Taking three phase Landsat TM/OLI remote sensing images from 2005 to 2017 of Mianyang, a mountain city in southwest China, as the research area and based on inverting the thermal environment response characteristics of land use/land cover change, the authors constructed the contribution index of bare land to UHI effect and analyzed the spatial and temporal changes of the surface thermal environment of bare land in the process of urbanization. The results are as follows: (1) In 2005—2017, bare land accounted for 4.73% (53.98 km 2 in 2005) to 6.34% (72.28 km 2 in 2011) in the study area, showing a trend of “increasing first and then decreasing” with total area (5.54 km 2) decreasing. Bare land was mainly distributed along new roads, urban development zones and urban-rural boundaries. (2) In 2005—2017, with the spatial agglomeration of bare land patches, the surface temperature of bare land in high-density area was significantly higher than that in low-density area, but the influence of bare land topography (elevation, slope, aspect), patch area and shape on the surface temperature of bare land was not significant. (3) In 2005—2017, the absolute difference of surface temperature between bare land and rural areas increased from 1.73 ℃ to 2.12 ℃, which was lower than the temperature of urban impermeable surface and rural area (3.07~3.23 ℃), and the contribution of bare land to urban heat island effect increased from 34% (2005) to 37% (2011) and finally decreased to 20% (2017). This study can provide a scientific basis for evaluating the spatial and temporal changes of urban bare land elements and mitigating the urban heat island effect.

Keywords bare land      surface temperature      urban heat island      Landsat TM/OLI      mountain city      Mianyang City     
:  TP79  
Corresponding Authors: Manjiang SHI     E-mail: shimj111@163.com
Issue Date: 03 December 2019
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Qi CAO
Manjiang SHI
Liang ZHOU
Ting WANG
Lijun PENG
Shilei ZHENG
Cite this article:   
Qi CAO,Manjiang SHI,Liang ZHOU, et al. Study of the response characteristics of thermal environment with spatial and temporal changes of bare land in the mountain city[J]. Remote Sensing for Land & Resources, 2019, 31(4): 190-198.
URL:  
https://www.gtzyyg.com/EN/10.6046/gtzyyg.2019.04.25     OR     https://www.gtzyyg.com/EN/Y2019/V31/I4/190
Fig.1  Landsat OLI images of the study areas in May 1,2017 displayed in false color composite
数据类型 卫星过境时间 空间分辨率 云覆盖度/% 主要用途
遥感影像 Landsat TM 2005-04-14 多光谱波段为30 m 0 解译研究区LUCC信息;
反演研究区地表温度
Landsat TM 2011-06-02 热红外波段为120 m
Landsat OLI/TIRS 2017-05-01 多光谱波段为30 m 4
全色波段波段为15 m
热红外波段为100 m
辅助数据 数字高程模型(digital
elevation model ,DEM)		 30 m 0 高程、坡度、坡向分析
Google Earth影像 2017-10-01
2010-11-15		 0.5 m 0 训练样本选取和精度验证
Tab.1  Landsat images and auxiliary data were used in this study
Fig.2  LUCC in the study area from 2005 to 2017
Fig.3  Annual average growth rate and growth intensity of LUCC in the study area from 2005 to 2017
温度等级 2005年 2011年 2017年
研究区地表
温度面积		 裸地地表
温度面积		 研究区地表
温度面积		 裸地地表
温度面积		 研究区地表
温度面积		 裸地地表
温度面积
高温区 4.05 33.38 4.14 29.52 4.12 26.09
次高温区 13.50 39.01 12.94 38.97 15.45 46.84
中温区 28.19 17.74 31.63 22.14 30.58 22.37
次低温区 20.97 8.92 18.56 8.27 17.19 4.02
低温区 33.29 0.95 32.73 1.10 32.66 0.68
Tab.2  Area ratios corresponding to different levels of surface temperature of the study area and bare land from 2005 to 2017(%)
Fig.4  Scattered plots of area, shape index and surface temperature of bare land in the study area from 2005 to 2017
Fig.5  Bare land density distribution and its surface temperature distribution characteristics from 2005 to 2017
年份 高密度
区-高温		 高密度
区-次高温		 高密度
区-中温		 次高密度
区-高温		 次高密度
区-次高温		 次高密度
区-中温		 中密度
区-高温		 中密度
区-次高温		 中密度
区-中温		 合计
2005年 2.53 4.18 2.32 5.36 11.49 10.50 5.82 16.20 23.54 81.93
2011年 2.73 5.80 4.78 3.98 9.72 13.13 4.16 14.07 26.29 84.66
2017年 3.15 9.61 7.29 3.64 11.17 15.58 4.10 13.26 22.94 90.73
Tab.3  Distribution area of bare land temperature grade under different density grades from 2005 to 2017(%)
Fig.6  Scattered plots of the topography factor and surface temperature in the study area from 2005 to 2017
年份 TUrban/℃ TRural/℃ TBear/℃ TUrban-TRural/℃ TBare-TRural/℃ CUHI/%
2005年 24.59 21.52 23.24 3.07 1.72 34
2011年 29.69 26.58 29.06 3.11 2.48 37
2017年 24.79 21.56 23.68 3.23 2.12 20
Tab.4  The TUrban-TRural,TBare-TRural and CUHI from 2005 to 2017
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