Title :
Surface urban heat island variation on prevailing wind direction belt base on TM/ETM+ data in Shenyang, China
Author :
Wang Hong-bo ; Li Li-guang ; Zhao Zi-qi ; Zhao Xian-li ; Cai Fu ; Li De-qin ; Xu Shen-lai ; Jiang Peng ; Lin Yi
Author_Institution :
CMA, Inst. of Atmos. Environ., Shenyang, China
Abstract :
Base on the Landsat TM/ETM+ data on August of 2001 and 2010, the surface urban heat island (SUHI) intensity on prevailing wind direction belt using three sampling belts with 1 km width within the third circle freeway of Shenyang were calculated, and its relationships with land use types, source-sink distribution, normal differential vegetation index (NDVI), normal differential built-up index (NDBI), modified normal differential water index (MNDWI) were analyzed. The results show that land surface temperature (LST) and SUHI intensity increases from southeast to northwest for 3 belts. The mean LST on 3 belts is greater in 2010 than in 2001. The LST value and ratio of SUHI source areas on 3 belts are greater in 2010 than that in 2001, while SUHI decreases in 2010 compared with in 2001. There is a significant positive correlation between SUHI and NDBI in all 3 belts, and the correlation coefficients are 0.9123 in 2001 and 0.9103 in 2010. There is also a significant positive correlation between SUHI and SUHI sources area ratio in all 3 belts, the correlation coefficient is 0.9618 in 2001 and 0.9588 in 2010. However, there are no significant correlation relationships between SUHI and NDVI, SUHI and MNDWI, SUHI and source-sink boundary length, SUHI and each land use types.
Keywords :
atmospheric boundary layer; atmospheric temperature; land surface temperature; thermal pollution; wind; AD 2001 08; AD 2010 08; China; Landsat TM-ETM+ data; SUHI intensity; Shenyang; correlation coefficients; land surface temperature; land use type; modified normal differential water index; normal differential built-up index; normal differential vegetation index; source-sink distribution; surface urban heat island variation; wind direction belt; Belts; Correlation; Earth; Geology; Indexes; Materials; ETM+ data; Land surface temperature; Prevailing wind direction; Surface urban heat island intensity; TM data;
Conference_Titel :
Earth Observation and Remote Sensing Applications (EORSA), 2014 3rd International Workshop on
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-5757-6
DOI :
10.1109/EORSA.2014.6927852