Terrain Analysis: Principles and Applications

The only reference on the use of GIS and related technologies in terrain analysis
In this landmark publication, reflecting the collaborative effort of thirteen research groups based in four countries, leading experts detail how GIS and related technologies, such as GPS and remote sensing, are now being used, with the aid of computer modeling, in terrain analysis. Continuing the innovative work of Professor Ian Moore, a visionary who saw terrain analysis as a robust method for modeling the large areas and complex spatial patterns of environmental systems, Terrain Analysis puts into action TAPES, or Terrain Analysis Programs for Environmental Sciences, Dr. Moore′s innovative tool for terrain analysis. The book′s contributors describe how TAPES are applied to specific geomorphologic problems, explain the algorithms used in current terrain analysis software, and examine the interpretation and use of terrain attributes in predictive models.
With expert coverage of terrain analysis in the digital age, Terrain Analysis will be welcomed by ecologists, environmental engineers, geographers, and hydrologists who increasingly depend on GIS, GPS, and remote sensing.

Spis treści:
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.

Nota biograficzna:
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.

Okładka tylna:
The only reference on the use of GIS and related technologies in terrain analysis
In this landmark publication, reflecting the collaborative effort of thirteen research groups based in four countries, leading experts detail how GIS and related technologies, such as GPS and remote sensing, are now being used, with the aid of computer modeling, in terrain analysis. Continuing the innovative work of Professor Ian Moore, a visionary who saw terrain analysis as a robust method for modeling the large areas and complex spatial patterns of environmental systems, Terrain Analysis puts into action TAPES, or Terrain Analysis Programs for Environmental Sciences, Dr. Moore′s innovative tool for terrain analysis. The book′s contributors describe how TAPES are applied to specific geomorph ologic problems, explain the algorithms used in current terrain analysis software, and examine the interpretation and use of terrain attributes in predictive models.
With expert coverage of terrain analysis in the digital age, Terrain Analysis will be welcomed by ecologists, environmental engineers, geographers, and hydrologists who increasingly depend on GIS, GPS, and remote sensing.