Remote Sensing of Impervious Surfaces in Tropical and Subtropical Areas

• Main Authors: Zhang, Hongsheng, Lin, Hui, Zhang, Yuanzhi, Weng, Qihao
• Format: eBook
• Language: English
• Published: Milton CRC Press 2016; Taylor & Francis Group
• Edition: 1
• Series: Remote Sensing Applications Series
• Subjects: bare; bright; Buildings; climate; confusions; cover; dark; Ecology - Environment Studies; ENVIROnetBASE; ENVIRONMENTALSCIENCEnetBASE; GIS, Remote Sensing & Cartography; humid; land; Pavements; Public Administration & Management; PublicADMINISTRATIONnetBASE; SCI-TECHnetBASE; spectral; STMnetBASE; types; ASAR Data; Ann Method; Kappa Coefficient; Linear Spectral Mixture Model; Spectral Confusion; Optical Images; Landsat TM; Pixel Level Fusion; ENVISAT ASAR Data; UHI; ISE; Bright Impervious Surfaces; Impervious Surfaces; Bare Soil Pixels; SAR Data; SVM Classification; Dark Impervious Surfaces; SVM Classifier; ASAR Image; Remote Sensing Images; ENVISAT ASAR Image; ENVISAT ASAR; LULC Classification; TC Component; OOB Error
• ISBN: 9780367870621; 0367870622; 9781482254839; 1482254832
• DOI: 10.1201/b18836

Remote Sensing of Impervious Surfaces in Tropical and Subtropical Areas offers a complete and thorough system for using optical and synthetic aperture radar (SAR) remote sensing data for improving impervious surface estimation (ISE). Highlighting tropical and subtropical areas where there is significant cloud occurrence and varying phenology, the b 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-Informa