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Advances in Digital Terrain Analysis

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Cover of 'Advances in Digital Terrain Analysis'

Table of Contents

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    Book Overview
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    Chapter 1 Advances in Digital Terrain Analysis: The TADTM Initiative
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    Chapter 2 Quantification of Terrain Processes
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    Chapter 3 Models of Topography
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    Chapter 4 Multi-Scale Digital Terrain Modelling and Analysis
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    Chapter 5 A Seamless and Adaptive LOD Model of the Global Terrain Based on the QTM
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    Chapter 6 Landform Classification of the Loess Plateau Based on Slope Spectrum from Grid DEMs
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    Chapter 7 Segmentation-based Terrain Classification
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    Chapter 8 Terrain Segmentation and Classification using SRTM Data
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    Chapter 9 Modelling Terrain Complexity
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    Chapter 10 DEM-based Analysis of Local Relief
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    Chapter 11 Re-Scaling Lower Resolution Slope by Histogram Matching
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    Chapter 12 Water in the Landscape: A Review of Contemporary Flow Routing Algorithms
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    Chapter 13 An Integrated Raster-TIN Surface Flow Algorithm
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    Chapter 14 DEM-based Modelling and Simulation of Modern Landform Evolution of Loess
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    Chapter 15 Assessing Uncertainties in Derived Slope and Aspect from a Grid DEM
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    Chapter 16 Accuracy Assessment of DEM Slope Algorithms Related to Spatial Autocorrelation of DEM Errors
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    Chapter 17 Modelling Slope Field Uncertainty Derived From DEM in the Loess Plateau
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    Chapter 18 The Impact of Neighbourhood Size on Terrain Derivatives and Digital Soil Mapping
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    Chapter 19 The Impact of DEM Error on Predictive Vegetation Mapping
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    Chapter 20 Global Lineaments: Application of Digital Terrain Modelling
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    Chapter 21 Modelling Channelling and Deflection of Wind by Topography
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    Chapter 22 Spatial Correlation of Topographic Attributes in Loess Plateau
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    Chapter 23 Terrain-based Revision of an Air Temperature Model in Mountain Areas
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    Chapter 24 National Mapping of Landform Elements in Support of S-Map, A New Zealand Soils Database
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186 Mendeley
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Advances in Digital Terrain Analysis
Published by
Springer-Verlag Berlin Heidelberg, January 2008
DOI 10.1007/978-3-540-77800-4
978-3-54-077800-4, 978-3-54-077799-1

Zhou, Qiming, Lees, Brian, Tang, Guo-an


Zhou, Qiming, Lees, Brian, Tang, Guo-an

Mendeley readers

The data shown below were compiled from readership statistics for 186 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 2%
Mexico 2 1%
Brazil 2 1%
France 2 1%
India 1 <1%
Indonesia 1 <1%
South Africa 1 <1%
Ghana 1 <1%
Egypt 1 <1%
Other 6 3%
Unknown 165 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 43 23%
Student > Ph. D. Student 39 21%
Student > Master 29 16%
Student > Postgraduate 12 6%
Student > Doctoral Student 11 6%
Other 40 22%
Unknown 12 6%
Readers by discipline Count As %
Earth and Planetary Sciences 69 37%
Environmental Science 47 25%
Agricultural and Biological Sciences 19 10%
Engineering 18 10%
Arts and Humanities 5 3%
Other 10 5%
Unknown 18 10%