期刊
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
卷 6, 期 3, 页码 1749-1756出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSTARS.2013.2263425
关键词
Air pollution; ASTER; endmember remote sensing indices; land surface temperature; land use; spectral mixture analysis; Tabriz city; urban heat island
类别
资金
- Austrian Science Fund (FWF) through the Doctoral College GIScience [DK W 1237-N23]
This paper proposes an integration of Spectral Mixture Analysis and Endmember Remote Sensing Indices to derive land surface temperature (LST), to identify urban heat islands (UHI) and to investigate their relationships to land use/land cover (LULC) and air-pollution in Tabriz city, Iran. LST values are assessed from ASTER remotely sensed thermal images to appraise the intensity of UHIs through a statistical approach. The results indicate that LST is highly influenced by LULC and that UHIs are closely linked to LST and LULC. As expected, LST is sensitive to vegetation and moisture and low temperatures are found in water bodies and vegetated areas. High temperatures are related to construction zones and industrial sites which are not necessarily located in the city centre. While the results demonstrate a high correlation between UHIs and air-pollution spatial analysis discloses a different pattern: when correlating identified UHI zones with air pollution the market area of Tabriz city reveals the highest measured PM values.
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