Study on surface thermal environment differentiation effect in mining intensive area through developing remote sensing assessment model

doi:10.11972/j.issn.1001-9014.2020.05.015

	Study on surface thermal environment differentiation effect in mining intensive area through developing remote sensing assessment model
	Hou Chun-Hua 2; Li Fu-Ping 2,3,4; He Bao-Jie 5; Gu Hai-Hong 2,3,4; Song Wen 1,2
刊名	JOURNAL OF INFRARED AND MILLIMETER WAVES
	2020-10-01
卷号	39 期号:5 页码:635-649
关键词	remote sensing land surface temperature biophysical parameters mining intensive area RSIEI model
ISSN号	1001-9014
DOI	10.11972/j.issn.1001-9014.2020.05.015
通讯作者	Li Fu-Ping(18603158003@163.com)
英文摘要	The exploitation of mineral resources has promoted rapid economic growth, but it has also caused mining areas to have increased surface thermal flux, which has a negative impact on the ecological environment. In this study, using on Landsat satellite remote sensing images of the study area from 2000 to 2018, the radiative transfer equation method was used to invert Land Surface Temperature (LST). VFC in the study area was inverted based on the Normalized Difference Vegetation Index (NDVI) -Dry Fuel Index (DFI) three-component pixel model. Mixed pixels were decomposed into Photosynthetic Vegetation (PV). Non-Photosynthetic Vegetation (NPV) , and Bare Soil (BS). Based on the four ecological parameters, Factional Cover of Photosynthetic Vegetation (f(PV)), Normalized Difference Moisture Index (NDMI), Normalized Difference Built-up Index (NDBI), and Bare Soil Index (BSI), a remote sensing integrated ecological index (RSIEI) model which can comprehensively evaluate the differentiation effect of the surface thermal environment in mining intensive areas is proposed using Principal Component Analysis (PCA). The relationship between the differentiation effect of the surface thermal environment and the quality of the ecological environment was studied using the heat island variation index. The results showed that the NDVI-DFI feature space of the study area conforms to the basic assumption of the three-component pixel model. And the four ecological parameters are closely related to the differentiation effect of the surface thermal environment. From the regression equation of the four ecological parameters and LST in study area over three years, it can be seen that f(PV) and NDMI has a significant linear negative correlation with LST (p<0.01); NDBI and BSI have a significant linear positive correlation with LST (p<0.01). The spatial distribution of normalized RSIEI images and normalized LST images of study area showed an inverse spatial correlation, i. e. , the areas with high RSIEI (good ecological quality) in the study area correspond to the areas with low LST and vice versa. The quantitative regression analysis of RSIEI and LST in 3 years in 4 mining intensive areas shows that, when RSIEI is increased by 10%, LST was decreased by 0. 67 - 0. 77 degrees C. It is proved that the RSIEI model based on Principal Component Analysis (PCA) is suitable for the comprehensive evaluation of the surface thermal environment differentiation effect in mining intensive areas.
资助项目	Natural Science Foundation of Hebei Province, China[E2015209300] ; Educational Commission of Hebei Province, China[BJ2014029] ; Scientific and Technological Research Foundation for the Selected Returned Overseas Chinese Scholars, Department of Human Resources and Social Security of Hebei, China[CL201633] ; Science and Technology Planning Key Project of Tangshan, China[19150247E] ; Science and Technology Innovation Team Project of Tangshan, China[19130206C]
WOS关键词	LAND USE/LAND COVER ; URBAN HEAT-ISLAND ; NONPHOTOSYNTHETIC VEGETATION ; PHOTOSYNTHETIC VEGETATION ; FRACTIONAL COVER ; BARE SOIL ; TEMPERATURE ; IMPACTS ; INDEX
WOS研究方向	Optics
语种	英语
出版者	SCIENCE PRESS
WOS记录号	WOS:000581069300014
资助机构	Natural Science Foundation of Hebei Province, China ; Educational Commission of Hebei Province, China ; Scientific and Technological Research Foundation for the Selected Returned Overseas Chinese Scholars, Department of Human Resources and Social Security of Hebei, China ; Science and Technology Planning Key Project of Tangshan, China ; Science and Technology Innovation Team Project of Tangshan, China
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/156679]
专题	中国科学院地理科学与资源研究所
通讯作者	Li Fu-Ping
作者单位	1.Chinese Acad Sci, Key Lab Land Surface Pattern & Simulat, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.North China Univ Sci & Technol, Coll Min Engn, Tangshan 063210, Peoples R China 3.Hebei Key Lab Min Developmeng & Secur Technol, Tangshan 063210, Peoples R China 4.Hebei Ind Technol Inst Mine Ecol Remediat, Tangshan 063210, Peoples R China 5.Univ New South Wales, Fac Built Environm, Sydney, NSW 2052, Australia
推荐引用方式 GB/T 7714	Hou Chun-Hua,Li Fu-Ping,He Bao-Jie,et al. Study on surface thermal environment differentiation effect in mining intensive area through developing remote sensing assessment model[J]. JOURNAL OF INFRARED AND MILLIMETER WAVES,2020,39(5):635-649.
APA	Hou Chun-Hua,Li Fu-Ping,He Bao-Jie,Gu Hai-Hong,&Song Wen.(2020).Study on surface thermal environment differentiation effect in mining intensive area through developing remote sensing assessment model.JOURNAL OF INFRARED AND MILLIMETER WAVES,39(5),635-649.
MLA	Hou Chun-Hua,et al."Study on surface thermal environment differentiation effect in mining intensive area through developing remote sensing assessment model".JOURNAL OF INFRARED AND MILLIMETER WAVES 39.5(2020):635-649.