Hongsheng Zhang is currently a research assistant professor at the Institute of Space and Earth Information Science, The Chinese University of Hong Kong. He received a B.Eng in computer science and technology in 2007, and an M.Eng in computer applications technology in 2010 from South China Normal University, Guangzhou. In addition, he received a Ph.D in earth system and geoinformation science from The Chinese University of Hong Kong in 2013. Currently, his research interests are on remote sensing applications in tropical and subtropical areas, with a focus on urban environment and natural disasters monitoring, using multi-source remote sensing data fusion and image pattern recognition techniques.Hui Lin is Chen Shupeng professor of geoinformation science and director of the Institute of Space and Earth Information Science of The Chinese University of Hong Kong. He is director of the Hong Kong Base of National Remote Sensing Center of China. He graduated from the Wuhan Technical University of Surveying and Mapping in 1980, and received his M.Sc from the Graduate School of Chinese Academy of Sciences in 1983, and his Ph.D. from the University at Buffalo in 1992. His research interests include microwave remote sensing image processing and analysis, virtual geographic environments (VGE), spatial database and data mining, spatially integrated humanities, and social science.Yuanzhi Zhang is a professor of environmental remote sensing, remote sensing of lunar and planetary science at the Key Laboratory of Lunar and Deep-Space Exploration, Chinese Academy of Sciences. He is also a research fellow and adjunct professor at the Center for Housing Innovations, Chinese University of Hong Kong. He received his Ph.D. in Technology at Helsinki University of Technology (HUT) in Finland in 2005, a postgraduate diploma in remote sensing and geological survey at the International Institute for Geo-Information Science and Earth Observation (ITC) in the Netherlands, a M.Sc in remote sensing and cartography at the Chinese Academy of Sciences (CAS) in Beijing, and a bachelor degree in geology at the Faculty of Geoscience, Jilin University, Changchun, China.Qihao Weng is the director of the Center for Urban and Environmental Change and a professor of geography at Indiana State University, USA. Dr. Weng serves as an editor-in-chief for ISPSR Journal of Photogrammetry and Remote Sensing, and the coordinator of GEO Global Urban Observation and Information Task.

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• Introduction. Impervious Surface Estimation Using Remote Sensing. Methodology of Combining Optical and SAR. Impact of Climate Zone on Impervious Surface Estimation and Mapping. Assessing the Urban Land Cover Complexity. Comparative Studies with Different Image Data and Fusion Methods. In-Depth Study: ISE Using Optical and SAR Data. Conclusions and Recommendations. Bibliography.

Hongsheng Zhang is currently a research assistant professor at the Institute of Space and Earth Information Science, The Chinese University of Hong Kong. He received a B.Eng in computer science and technology in 2007, and an M.Eng in computer applications technology in 2010 from South China Normal University, Guangzhou. In addition, he received a Ph.D in earth system and geoinformation science from The Chinese University of Hong Kong in 2013. Currently, his research interests are on remote sensing applications in tropical and subtropical areas, with a focus on urban environment and natural disasters monitoring, using multi-source remote sensing data fusion and image pattern recognition techniques.Hui Lin is Chen Shupeng professor of geoinformation science and director of the Institute of Space and Earth Information Science of The Chinese University of Hong Kong. He is director of the Hong Kong Base of National Remote Sensing Center of China. He graduated from the Wuhan Technical University of Surveying and Mapping in 1980, and received his M.Sc from the Graduate School of Chinese Academy of Sciences in 1983, and his Ph.D. from the University at Buffalo in 1992. His research interests include microwave remote sensing image processing and analysis, virtual geographic environments (VGE), spatial database and data mining, spatially integrated humanities, and social science.Yuanzhi Zhang is a professor of environmental remote sensing, remote sensing of lunar and planetary science at the Key Laboratory of Lunar and Deep-Space Exploration, Chinese Academy of Sciences. He is also a research fellow and adjunct professor at the Center for Housing Innovations, Chinese University of Hong Kong. He received his Ph.D. in Technology at Helsinki University of Technology (HUT) in Finland in 2005, a postgraduate diploma in remote sensing and geological survey at the International Institute for Geo-Information Science and Earth Observation (ITC) in the Netherlands, a M.Sc in remote sensing and cartography at the Chinese Academy of Sciences (CAS) in Beijing, and a bachelor degree in geology at the Faculty of Geoscience, Jilin University, Changchun, China.Qihao Weng is the director of the Center for Urban and Environmental Change and a professor of geography at Indiana State University, USA. Dr. Weng serves as an editor-in-chief for ISPSR Journal of Photogrammetry and Remote Sensing, and the coordinator of GEO Global Urban Observation and Information Task.

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• Introduction. Impervious Surface Estimation Using Remote Sensing. Methodology of Combining Optical and SAR. Impact of Climate Zone on Impervious Surface Estimation and Mapping. Assessing the Urban Land Cover Complexity. Comparative Studies with Different Image Data and Fusion Methods. In-Depth Study: ISE Using Optical and SAR Data. Conclusions and Recommendations. Bibliography.

Hongsheng Zhang is currently a research assistant professor at the Institute of Space and Earth Information Science, The Chinese University of Hong Kong. He received a B.Eng in computer science and technology in 2007, and an M.Eng in computer applications technology in 2010 from South China Normal University, Guangzhou. In addition, he received a Ph.D in earth system and geoinformation science from The Chinese University of Hong Kong in 2013. Currently, his research interests are on remote sensing applications in tropical and subtropical areas, with a focus on urban environment and natural disasters monitoring, using multi-source remote sensing data fusion and image pattern recognition techniques.Hui Lin is Chen Shupeng professor of geoinformation science and director of the Institute of Space and Earth Information Science of The Chinese University of Hong Kong. He is director of the Hong Kong Base of National Remote Sensing Center of China. He graduated from the Wuhan Technical University of Surveying and Mapping in 1980, and received his M.Sc from the Graduate School of Chinese Academy of Sciences in 1983, and his Ph.D. from the University at Buffalo in 1992. His research interests include microwave remote sensing image processing and analysis, virtual geographic environments (VGE), spatial database and data mining, spatially integrated humanities, and social science.Yuanzhi Zhang is a professor of environmental remote sensing, remote sensing of lunar and planetary science at the Key Laboratory of Lunar and Deep-Space Exploration, Chinese Academy of Sciences. He is also a research fellow and adjunct professor at the Center for Housing Innovations, Chinese University of Hong Kong. He received his Ph.D. in Technology at Helsinki University of Technology (HUT) in Finland in 2005, a postgraduate diploma in remote sensing and geological survey at the International Institute for Geo-Information Science and Earth Observation (ITC) in the Netherlands, a M.Sc in remote sensing and cartography at the Chinese Academy of Sciences (CAS) in Beijing, and a bachelor degree in geology at the Faculty of Geoscience, Jilin University, Changchun, China.Qihao Weng is the director of the Center for Urban and Environmental Change and a professor of geography at Indiana State University, USA. Dr. Weng serves as an editor-in-chief for ISPSR Journal of Photogrammetry and Remote Sensing, and the coordinator of GEO Global Urban Observation and Information Task.

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• Introduction. Impervious Surface Estimation Using Remote Sensing. Methodology of Combining Optical and SAR. Impact of Climate Zone on Impervious Surface Estimation and Mapping. Assessing the Urban Land Cover Complexity. Comparative Studies with Different Image Data and Fusion Methods. In-Depth Study: ISE Using Optical and SAR Data. Conclusions and Recommendations. Bibliography.