Loess Landform Inheritance: Modeling and Discovery (eBook)
XV, 214 Seiten
Springer Singapore (Verlag)
978-981-13-6404-4 (ISBN)
In geomorphology, landform inheritance refers to the inherited relationship of different landform morphologies in a certain area during the evolutionary process. This book studies loess landform inheritance based on national basic geographic data and GIS spatial analysis method. It reveals the Loess Plateau formation mechanism and broadens the understanding of spatial variation pattern of loess landform in the Loess Plateau.
Dr. Li-Yang Xiong is an associate professor at the School of Geography, Nanjing Normal University (NNU), China. He is currently responsible for managing NNU's research in Digital Terrain Model and Digital Terrain Analysis. His main research interests include loess terrain feature characterization, landform evolution modeling, paleotopography reconstruction and geomorphological process mining. Dr. Xiong obtained his PhD degree in cartography and geographical information system at the School of Geography Science, Nanjing Normal University (NNU), China, and has previously worked at University of Wisconsin-Madison (UWM) as a postdoctoral research fellow.
Dr. Guo-An Tang is a professor at the School of Geography, Nanjing Normal University (NNU), China. He is the director of the key laboratory of geographical information science of Jiangsu Province. Dr. Tang is currently responsible for managing NNU's research in Geographical Information Science (GIS). His main research interests include loess landform classification, GIS spatial analysis, geomorphometry and GIS education. Dr. Tang obtained his PhD degree in geographical information science at Salzburg University, Austria.
In geomorphology, landform inheritance refers to the inherited relationship of different landform morphologies in a certain area during the evolutionary process. This book studies loess landform inheritance based on national basic geographic data and GIS spatial analysis method. It reveals the Loess Plateau formation mechanism and broadens the understanding of spatial variation pattern of loess landform in the Loess Plateau.
Dr. Li-Yang Xiong is an associate professor at the School of Geography, Nanjing Normal University (NNU), China. He is currently responsible for managing NNU’s research in Digital Terrain Model and Digital Terrain Analysis. His main research interests include loess terrain feature characterization, landform evolution modeling, paleotopography reconstruction and geomorphological process mining. Dr. Xiong obtained his PhD degree in cartography and geographical information system at the School of Geography Science, Nanjing Normal University (NNU), China, and has previously worked at University of Wisconsin-Madison (UWM) as a postdoctoral research fellow.Dr. Guo-An Tang is a professor at the School of Geography, Nanjing Normal University (NNU), China. He is the director of the key laboratory of geographical information science of Jiangsu Province. Dr. Tang is currently responsible for managing NNU’s research in Geographical Information Science (GIS). His main research interests include loess landform classification, GIS spatial analysis, geomorphometry and GIS education. Dr. Tang obtained his PhD degree in geographical information science at Salzburg University, Austria.
| Erscheint lt. Verlag | 21.3.2019 |
|---|---|
| Reihe/Serie | Springer Geography | Springer Geography |
| Zusatzinfo | XV, 214 p. 127 illus., 83 illus. in color. |
| Verlagsort | Singapore |
| Sprache | englisch |
| Themenwelt | Naturwissenschaften ► Geowissenschaften ► Geografie / Kartografie |
| Naturwissenschaften ► Geowissenschaften ► Geologie | |
| Technik | |
| Schlagworte | Digital Elevation Model • Dual-layer terrain analysis • effects of loess dusts • evolution of loess-covered landforms • geomorphological inheritance • loess deposition process • loess deposits research • loess formation mechanism • Loess landform inheritance • Loess Plateau • loess topography • Underlying paleotopography |
| ISBN-10 | 981-13-6404-4 / 9811364044 |
| ISBN-13 | 978-981-13-6404-4 / 9789811364044 |
| Haben Sie eine Frage zum Produkt? |
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