Urban heat island monitoring and analysis based on remotely sensed data

Urban heat island (UHI) is one of the main factors influencing the weather, climate, and environment in urban and its surrounding areas. In this study, MODIS's MOD11A2 product over the year of 2000-2012 is used to investigate and monitoring the UHI of Dongguan, China. The result indicates that the higher UHI intensity at day-time is frequently occurred in the summer and fall, while the lower UHI intensity is often observed in spring, while no seasonal variation pattern could detect for night-time UHI. During the 13years, the region with higher LSTs is frequently distributed in areas covered by built, roads and bare soils etc., while regions with lower LSTs are mainly occurred in places dominated by waters, forests and parks etc.

[1]  L. Bounoua,et al.  Exploring the influence of impervious surface density and shape on urban heat islands in the northeast United States using MODIS and Landsat , 2012 .

[2]  D. Lu,et al.  Estimation of land surface temperature-vegetation abundance relationship for urban heat island studies , 2004 .

[3]  Zhengming Wan,et al.  Evaluation and improvement of the MODIS land surface temperature/emissivity products using ground‐based measurements at a semi‐desert site on the western Tibetan Plateau , 2007 .

[4]  Y. Yasuoka,et al.  Assessment with satellite data of the urban heat island effects in Asian mega cities , 2006 .

[5]  Matthias Roth,et al.  Effects of Cities on Local Climates , 2002 .

[6]  Zhao-Liang Li,et al.  Validation of the land-surface temperature products retrieved from Terra Moderate Resolution Imaging Spectroradiometer data , 2002 .

[7]  D. Lu,et al.  Extraction of urban impervious surfaces from an IKONOS image , 2009 .

[8]  William C. Snyder,et al.  BRDF models to predict spectral reflectance and emissivity in the thermal infrared , 1998, IEEE Trans. Geosci. Remote. Sens..

[9]  Conghe Song,et al.  Spectral mixture analysis for subpixel vegetation fractions in the urban environment: How to incorporate endmember variability? , 2005 .

[10]  Inakwu O. A. Odeh,et al.  Bi-temporal characterization of land surface temperature in relation to impervious surface area, NDVI and NDBI, using a sub-pixel image analysis , 2009, Int. J. Appl. Earth Obs. Geoinformation.

[11]  Chun Yang,et al.  Industrial agglomeration of Hong Kong and Taiwanese manufacturing investment in China: a town-level analysis in Dongguan , 2010 .

[12]  D. Streutker,et al.  Satellite-measured growth of the urban heat island of Houston, Texas , 2003 .

[13]  B. Dousset,et al.  Satellite multi-sensor data analysis of urban surface temperatures and landcover , 2003 .

[14]  D. Streutker A remote sensing study of the urban heat island of Houston, Texas , 2002 .