Spatial patterns of greenspace cool islands and their relationship to cooling effectiveness in the tropical city of Chiang Mai, Thailand

Urban greenspaces provide evaporative cooling, which can help effectively mitigate the urban heat island (UHI) to achieve a sustainable urban climate. This study examines the cooling effects of greenspace patterns on urban cool islands (UCIs) at the patch level in an urban environment. The effects of 1155 patches of greenspace cool islands (GCIs) on UCIs of the Chiang Mai metropolitan area in Thailand were identified from a satellite image, and the relationships between them were analyzed through correlation and regression analyses. The results indicate that (1) spatial patterns of GCIs have significant effects on their cooling potential, while urban areas with more green patch coverage encounter stronger cooling effects; also, (2) our correlation analysis of three fundamental and widely recognized classes of landscape metrics (area, shape, and core of GCIs with temperature change) shows that the most important metric of effective cooling is the core area. These findings can help planners understand greenspaces established in urban areas and plan urban greenspace to mitigate UHI effects.

[1]  T. Oke.  The energetic basis of the urban heat island , 1982 .

[2]  E. Jáuregui.  Influence of a large urban park on temperature and convective precipitation in a tropical city , 1990 .

[3]  A. Huete,et al.  A feedback based modification of the NDVI to minimize canopy background and atmospheric noise , 1995 .

[4]  Hui Qing Liu,et al.  A feedback based modification of the NDVI to minimize canopy background and atmospheric noise , 1995, IEEE Transactions on Geoscience and Remote Sensing.

[5]  T. Carlson,et al.  On the relation between NDVI, fractional vegetation cover, and leaf area index , 1997 .

[6]  Ingegärd Eliasson,et al.  The influence of green areas on nocturnal temperatures in a high latitude city (Göteborg, Sweden) , 1998 .

[7]  T. Oke,et al.  The thermal regime of urban parks in two cities with different summer climates , 1998 .

[8]  Neville Nicholls,et al.  Trends in extreme daily rainfall and temperature in Southeast Asia and the South Pacific: 1961–1998 , 2001 .

[9]  M. Haylock,et al.  The El Niño–Southern Oscillation and daily temperature extremes in east Asia and the west Pacific , 2005 .

[10]  N. Wong,et al.  Study of green areas and urban heat island in a tropical city , 2005 .

[11]  Avijit Gupta.  The physical geography of Southeast Asia , 2005 .

[12]  B. Rudolf,et al.  World Map of the Köppen-Geiger climate classification updated , 2006 .

[13]  S. Suggitt.  The Physical Geography of Southeast Asia , 2006 .

[14]  Chi-Ru Chang,et al.  A preliminary study on the local cool-island intensity of Taipei city parks , 2007 .

[15]  Bunkei Matsushita,et al.  Sensitivity of the Enhanced Vegetation Index (EVI) and Normalized Difference Vegetation Index (NDVI) to Topographic Effects: A Case Study in High-Density Cypress Forest , 2007, Sensors.

[16]  J. Cristóbal,et al.  Modeling air temperature through a combination of remote sensing and GIS data , 2008 .

[17]  Antonio J. Plaza,et al.  Land Surface Emissivity Retrieval From Different VNIR and TIR Sensors , 2008, IEEE Transactions on Geoscience and Remote Sensing.

[18]  A. Dewan,et al.  Land use and land cover change in Greater Dhaka, Bangladesh: Using remote sensing to promote sustainable urbanization , 2009 .

[19]  Rizwan Ahmed Memon,et al.  An investigation of urban heat island intensity (UHII) as an indicator of urban heating , 2009 .

[20]  Qihao Weng.  Thermal infrared remote sensing for urban climate and environmental studies: Methods, applications, and trends , 2009 .

[21]  A. Pullin,et al.  Urban greening to cool towns and cities: a systematic review of the empirical evidence. , 2010 .

[22]  Shuko Hamada,et al.  Seasonal variations in the cooling effect of urban green areas on surrounding urban areas. , 2010 .

[23]  Jin Chen,et al.  Quantifying the cool island intensity of urban parks using ASTER and IKONOS data , 2010 .

[24]  A. Viña,et al.  Comparison of different vegetation indices for the remote assessment of green leaf area index of crops , 2011 .

[25]  Alireza Sharifi,et al.  Comparison the accuracies of different spectral indices for estimation of vegetation cover fraction in sparse vegetated areas , 2011 .

[26]  M. Cadenasso,et al.  Does spatial configuration matter? Understanding the effects of land cover pattern on land surface temperature in urban landscapes , 2011 .

[27]  Yi‐Chen Wang,et al.  Spatial–temporal dynamics of urban green space in response to rapid urbanization and greening policies , 2011 .

[28]  H. Andrade,et al.  The cooling effect of green spaces as a contribution to the mitigation of urban heat: A case study i , 2011 .

[29]  Nina Schwarz,et al.  Relationship of land surface and air temperatures and its implications for quantifying urban heat island indicators—An application for the city of Leipzig (Germany) , 2012 .

[30]  M. Srivanit,et al.  EFFECTS OF URBAN DEVELOPMENT AND SPATIAL CHARACTERISTICS ON URBAN THERMAL ENVIRONMENT IN CHIANG MAI METROPOLITAN, THAILAND , 2012 .

[31]  Yihe Lü,et al.  Cooling effects of wetlands in an urban region: The case of Beijing , 2012 .

[32]  Xiaoma Li,et al.  Relationship between land surface temperature and spatial pattern of greenspace: What are the effects of spatial resolution? , 2013 .

[33]  Ranhao Sun,et al.  Effect of urban green patterns on surface urban cool islands and its seasonal variations , 2014 .

[34]  Xiaolei Yu,et al.  Land Surface Temperature Retrieval from Landsat 8 TIRS - Comparison between Radiative Transfer Equation-Based Method, Split Window Algorithm and Single Channel Method , 2014, Remote. Sens..

[35]  Size matters: vegetation patch size and surface temperature relationship in foothills cities of northwestern Argentina , 2014, Urban Ecosystems.

[36]  G. Feyisa,et al.  Efficiency of parks in mitigating urban heat island effect: An example from Addis Ababa , 2014 .

[37]  Decheng Zhou,et al.  Surface urban heat island in China's 32 major cities: Spatial patterns and drivers , 2014 .

[38]  Hong S. He,et al.  Effects of spatial pattern of greenspace on urban cooling in a large metropolitan area of eastern China , 2014 .

[39]  R. Sun,et al.  How many metrics are required to identify the effects of the landscape pattern on land surface temperature , 2014 .

[40]  Wenqi Lin,et al.  Calculating cooling extents of green parks using remote sensing: Method and test , 2015 .

[41]  Tetsu Kubota,et al.  Configuration of Green Spaces for Urban Heat Island Mitigation and Future Building Energy Conservation in Hanoi Master Plan 2030 , 2015 .

[42]  Yongli Cai,et al.  Research on the cooling island effects of water body: A case study of Shanghai, China , 2016 .

[43]  H. Akbari,et al.  Three decades of urban heat islands and mitigation technologies research , 2016 .

[44]  H. Akbari,et al.  The effects of street tree planting on Urban Heat Island mitigation in Montreal , 2016 .

[45]  Jing Zhang,et al.  Assessing the Distribution of Urban Green Spaces and its Anisotropic Cooling Distance on Urban Heat Island Pattern in Baotou, China , 2016, ISPRS Int. J. Geo Inf..

[46]  Ali Hosseini,et al.  Assessment of Urban Heat Island based on the relationship between land surface temperature and Land Use/ Land Cover in Tehran , 2016 .

[47]  Vaibhav Garg,et al.  Retrieval of land surface temperature from Landsat 8 TIRS for the command area of Mula irrigation project , 2016, Environmental Earth Sciences.

[48]  M. Srivanit,et al.  Classifying Spatial Homogeneity of Thermally-Stabilized Surface to Define Differentiation Local Atmospheric Zones in Chiang Mai City , 2016, Journal of Architectural/Planning Research and Studies (JARS).

[49]  G. Jørgensen,et al.  How can urban green spaces be planned for climate adaptation in subtropical cities , 2017 .

[50]  Yazhou Zhang,et al.  Urban green effects on land surface temperature caused by surface characteristics: A case study of summer Beijing metropolitan region , 2017 .

[51]  Huilin Liang,et al.  Assessing urban green space distribution in a compact megacity by landscape metrics , 2017 .

[52]  Feng Chen,et al.  Challenges to quantitative applications of Landsat observations for the urban thermal environment. , 2017, Journal of environmental sciences.

[53]  Jun-Hyun Kim,et al.  The influence of small green space type and structure at the street level on urban heat island mitigation , 2017 .

[54]  R. Sun,et al.  Effects of green space dynamics on urban heat islands: Mitigation and diversification , 2017 .

[55]  Yongli Cai,et al.  Quantifying the cool island effects of urban green spaces using remote sensing Data , 2017 .

[56]  Weiqi Zhou,et al.  Patch size of trees affects its cooling effectiveness: A perspective from shading and transpiration processes , 2017 .

[57]  Hainan Yan,et al.  Influence of a large urban park on the local urban thermal environment. , 2018, The Science of the total environment.

[58]  A. El Jazouli,et al.  Land Use/Land Cover Change and Environmental Impact Assessment in Béni-Mellal District (Morocco) Using Remote Sensing and GIS , 2019, Earth Systems and Environment.

[59]  Quazi K. Hassan,et al.  Spatio-Temporal Patterns of Land Use/Land Cover Change in the Heterogeneous Coastal Region of Bangladesh between 1990 and 2017 , 2019, Remote. Sens..

[60]  Weiqi Zhou,et al.  Revealing patterns of greenspace in urban areas resulting from three urban growth types , 2019, Physics and Chemistry of the Earth, Parts A/B/C.