Loess Landform Inheritance: Modeling and Discovery - Couverture rigide

Livre 58 sur 84: Springer Geography

Xiong, Li-Yang; Tang, Guo-An

 
9789811364037: Loess Landform Inheritance: Modeling and Discovery

Synopsis

In geomorphology, landform inheritance refers to the inherited relationship of different landform morphologies in a certain area during the evolutionary process. It reveals the Loess Plateau formation mechanism and broadens the understanding of spatial variation pattern of loess landform in the Loess Plateau.

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À propos de l?auteur

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 researchinterests 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.


Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Autres éditions populaires du même titre

9789811364068: Loess Landform Inheritance: Modeling and Discovery

Edition présentée

ISBN 10 :  9811364060 ISBN 13 :  9789811364068
Editeur : Springer, 2020
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