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Preface
The urban climate has changed much more dramatically than the global climate change over the past decades， with the urban heat island（UHI）as the typical urban climatic feature. As the UHI has deep impact on the local/regional climate and the lives in cities， UHI studies are of great importance for both the climate change research and the urban planning. For conducting the research， the multisource datasets were mployed， including basic geographical information system（GIS）datasets，remote sensing（RS）images and statistical data. Firstly， a Spatio-temporal image fusion model was developed to generate the Landsat-like LST for intra-city surface UHI（SUHI）studies. With the support of the available Landsat data and predicted Landsat -like data， spatial statistical models were used to explore the seasonal variations in the relationships between LST and the normalized differences vegetation index（NDVI）in Beijing city. Secondly， a modified regression tree model linked to R language was employed to assess the associated factors of SUHI across 67 major Chinese cities. Meanwhile， the statistical methods were used to comparatively analyze the Spatio-temporal variations in SUHI in China. Finally， the coupled “ Weather Research and Forecasting/Urban Canopy Model（WRF/UCM）“ numerical modeling system was adopted to simulate the response of UHI to the future urban expansion over the Beijing-Tianjin-Hebei（BTH）metropolitan area.
　　The book was integrated and deepened based on my research work during the doctoral studies in the Chinese University of Hong Kong. During conducting the research and writing the book， my doctoral supervisor， Prof. HUANG Bo，encouraged and enlightened me a lot on both the research topic selection and research thoughts， and gave me invaluable suggestions， insightful comments and suggestions on the revision. Besides， the dean of the College of Arts &Scie nce，Beijing Union U-niversity， Prof. ZHANG Baoxiu provided much suggestion on the work revision. Prof. MENG Bin and Prof. ZHANG Jingqiu in the College of Arts &Science，Beijing Union University also supported much with the book. This book was really an achievement for all the crew who've put in so much effort! I am sincerely grateful to all of you for your help and guidance.
　　This research was founded by National Science Foundation of China（41601460）， Beijing Social Science Foundation（16JDGLC014）， Premium Funding Project for Academic Human Resources Development in Beijing Union University (BPHR2017D202),“New Start” Academic Research Projects of Beijing Union University（ZK10201608）. This book is funded by the Technological Innovation Service Capacity Building Program -Beijing Urban Cultural Update Sensing and analytical Ap-plication Research in Beijing Union University.
　　Lastly， this book is the preliminary result of the research work， and then there may be some shortcomings. I'm sincerely expecting your criticism and help.