Terrain Analysis

JOHN P. WILSON is a professor in the Department of Geography, University of Southern California, Los Angeles. JOHN C. GALLANT is a research scientist with CSIRO Land and Water, Canberra, Australia.

"...an exceptionally well presented research volume that contains original and significant research papers providing a cutting edge synthesis of the potential of integrated environmental modelling." (Photogrammetric Record, October 2001)"Overall, the book is ideal both for students and for researchers, both as a textbook and as a source of advanced reading. Those keen to pursue a research in terrain analysis will find the book very useful because it contains an extensive list of terrain parameters, compiled effectively with equations, diagrams, and explanations, and examples of their utilization in practical applications." (Environment and Planning Bi Planning and Design, Spring 2002)

• Digital Terrain Analysis (J. Wilson & J. Gallant). Digital Elevation Models and Representation of Terrain Shape (M. Hutchinson & J. Gallant). Primary Topographic Attributes (J. Gallant & J. Wilson). Secondary Topographic Attributes (J. Wilson & J. Gallant). Effect of Data Source, Grid Resolution, and Flow-Routing Method on Computed Topographic Attributes (J. Wilson, et al.). Spatial Analysis of Soil-Moisture Deficit and Potential Soil Loss in the Elbe River Basin (V. Krysanova, et al.). Mapping Contributing Areas for Stormwater Discharge to Streams Using Terrain Analysis (J. Fried, et al.). Soil-Moisture Modeling in Humid Mountainous Landscapes (J. Yeakley, et al.). Stochastic Analysis of a Coupled Surface/Subsurface Hydrologic Model (G. Pohll & J. Warwick). The Role of Terrain Analysis in Soil Mapping (N. McKenzie, et al.). Automated Landform Classification Methods for Soil-Landscape Studies (S. Ventura & B. Irvin). A Soil-Terrain Model for Estimating Spatial Patterns of Soil Organic Carbon (J. Bell, et al.). Shallow Landslide Delineation for Steep Forest Watersheds Based on Topographic Attributes and Probability Analysis (J. Duan & G. Grant). Terrain Variables Used for Predictive Mapping of Vegetation Communities in Southern California (J. Franklin, et al.). Automated Land Cover Mapping Using Landsat Thematic Mapper Images and Topographic Attributes (J. Wheatley, et al.). Towards a Spatial Model of Boreal Forest Ecosystems: The Role of Digital Terrain Analysis (B. Mackey, et al.). Future Directions for Terrain Analysis (J. Gallant, et al.). References. Index.