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Advances in Digital Terrain Analysis [Paperback]

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  • Category: Books (Science)
  • ISBN-10:  3642096549
  • ISBN-10:  3642096549
  • ISBN-13:  9783642096549
  • ISBN-13:  9783642096549
  • Publisher:  Springer
  • Publisher:  Springer
  • Pages:  462
  • Pages:  462
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-Mar-2010
  • Pub Date:  01-Mar-2010
  • SKU:  3642096549-11-SPRI
  • SKU:  3642096549-11-SPRI
  • Item ID: 100710828
  • List Price: $169.99
  • Seller: ShopSpell
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  • Delivery by: Jul 04 to Jul 06
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Terrain analysis has attracted research studies from geographers, surveyors, engineers and computer scientists. The contributions in this book represent the state-of-the-art of terrain analysis methods and techniques in areas of digital representation, morphological and hydrological models, uncertainty and applications of terrain analysis. The book will appeal to postgraduate and senior undergraduate students who take advanced courses in GIS and geographical analysis.

Terrain analysis has been an active study field for years and attracted research studies from geographers, surveyors, engineers and computer scientists. With the rapid growth of Geographical Information System (GIS) technology, particularly the establishment of high resolution Digital Elevation Models (DEM) at national level, the challenge is now focused on delivering justifiable socio-economical and environmental benefits. The contributions in this book represent the state of the art of terrain analysis methods and techniques in areas of digital representation, morphological and hydrological models, uncertainty and applications of terrain analysis.

Advances in Digital Terrain Analysis: The TADTM Initiative.- Digital Representation for Terrain Analysis.- Quantification of Terrain Processes.- Models of Topography.- Multi-Scale Digital Terrain Modelling and Analysis.- A Seamless and Adaptive LOD Model of the Global Terrain Based on the QTM.- Morphological Terrain Analysis.- Landform Classification of the Loess Plateau Based on Slope Spectrum from Grid DEMs.- Segmentation-based Terrain Classification.- Terrain Segmentation and Classification using SRTM Data.- Modelling Terrain Complexity.- DEM-based Analysis of Local Relief.- Re-Scaling Lower Resolution Slope by Histogram Matching.- Hydrological Terrain Analysis.- Water in the Landscape: A Review of Contemporary Flow Routing Algorithms.- An Integrated Raster-TIN Surface Flow Algorithm.- DEM-based Modelling and Simulatiol3°
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