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Urban heat island variation of each district in Shenyang based on TM/ETM+ data.

WANG Hong-bo1, LI Li-guang1**, ZHAO Zi-qi1, CAI Fu1, WU Jin-wen1, XU Shen-lai2, JIANG Peng3   

  1. (1Institute of Atmospheric Environment, China Meteorological Administration, Shenyang 110166, China; 2Beijing Qinghua Tongheng Planning and Design Research Institute, Beijing 100085, China; 3Liaoning Meteorological School, Shenyang 110166, China)
  • Online:2015-01-10 Published:2015-01-10

Abstract:

Base on the Landsat TM/ETM+ data of August in 2001 and 2010, the surface urban heat island (SUHI) intensity in each district within the thirdcircle freeway of Shenyang was calculated. The data of land use types were used to obtain the information of SUHI source and sink, and the relationship between SUHI and land use types, sourcesink area and boundary length, normal differential vegetation index (NDVI), normal differential built-up index (NDBI), modified normal differential water index (MNDWI) were analyzed. Results show that, in 2001, the areas of medium or high SUHI intensity were mainly within the third circle freeway of Shenyang and Sujiatun district, and the areas of strong SUHI intensity were in Tiexi and Huanggu districts. In 2010, medium or high SUHI areas mainly extended towards the south and southwest, and light, medium and high SUHI areas increased significantly as compared with that in 2001. There was a significant negative correlation between SUHI and NDVI, and a significant correlation between SUHI and NDBI. The proportion of heat island source area to total urban area was significantly correlated with the medium or high SUHI, and the sourcesink boundary length was significantly correlated with the light and medium SUHI.
 

Key words: BP neural network model, multivariate linear regression model, TDR-300, moisture content of forest surface soil, Quad-pol SAR, microwave remote sensing