DongMei Chen

Queen's UniversityCanada

Prof. Dongmei Chen is currently an associate professor at the Department of Geography, Queen’s University in Kingston, Canada. She is also crossed-appointed at the Department of Environmental Science. She received her BA from Peking University, China, her MS from the Institute of Remote Sensing Application, Chinese Academic of Science, and her PhD in Geography from the joint doctoral program of San Diego State University and University of California at Santa Barbara, USA. Prof. Chen worked at the Environmental Systems Research Institute (ESRI), California as a GIS product specialist for two years. Her research interests focus mainly on understanding and modeling of interactions between human activities and physical environment by using geographic information science, remote sensing, spatial analysis and modeling technologies. She has worked on more than twenty funded environmental- and health-related research projects, and published over fifty journal articles and book chapters. Prof. Chen has received research awards from American Society for Photogrammetry and Remote Sensing, Canada Foundation of Innovation, Chinese Academic of Science and International Geographic Information Foundation.

1books edited

Latest work with IntechOpen by DongMei Chen

With growing attention on global environmental and climate change, geoscience has experienced rapid change and development in the last three decades. Many new data, methods and modeling techniques have been developed and applied in various aspects of geoscience. The chapters collected in this book present an excellent profile of the current state of various data, analysis methods and modeling techniques, and demonstrate their applications from hydrology, geology and paleogeomorphology, to geophysics, environmental and climate change. The wide range methods and techniques covered in the book include information systems and technology, global position system (GPS), digital sediment core image analysis, fuzzy set theory for hydrology, spatial interpolation, spectral analysis of geophysical data, GIS-based hydrological models, high resolution geological models, 3D sedimentology, change detection from remote sensing, etc. Besides two comprehensive review articles, most chapters focus on in-depth studies of a particular method or technique.

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