Terrain Analysis: Principles and ApplicationsJohn P. Wilson, John C. Gallant John Wiley & Sons, 03.08.2000 - 516 Seiten 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. |
Inhalt
Spatial Analysis of SoilMoisture Deficit and Potential Soil Loss | 6 |
Digital Elevation Models and Representation of Terrain Shape 29 | 29 |
Assessment of Resolution and Quality of the Cottonwood | 44 |
Primary Topographic Attributes | 51 |
Upslope Averages of Terrain Attributes | 71 |
Secondary Topographic Attributes | 87 |
ORREF | 112 |
7 | 121 |
Automated Landform Classification Methods for SoilLandscape | 267 |
A SoilTerrain Model for Estimating Spatial Patterns of Soil | 295 |
Shallow Landslide Delineation for Steep Forest Watersheds Based | 311 |
Terrain Variables Used for Predictive Mapping of Vegetation | 331 |
Automated Land Cover Mapping Using Landsat Thematic Mapper | 355 |
Attributes | 370 |
2 | 376 |
135 | 380 |
69 | 126 |
Effect of Data Source Grid Resolution and FlowRouting Method | 133 |
70 | 142 |
4 | 160 |
Mapping Contributing Areas for Stormwater Discharge | 183 |
SoilMoisture Modeling in Humid Mountainous Landscapes | 205 |
Stochastic Analysis of a Coupled SurfaceSubsurface | 225 |
The Role of Terrain Analysis in Soil Mapping | 245 |
Future Directions for Terrain Analysis | 423 |
References | 429 |
137 | 432 |
150 | 454 |
464 | |
469 | |
471 | |
Häufige Begriffe und Wortgruppen
algorithm ARC/INFO average buffer calculated cellsb channel Chapter classes classification coefficient computed contour Creek delineated DEMs depth derived digital elevation model distribution downslope drainage basin dynamic element environmental Equation erosion errors estimated evapotranspiration factor Figure flow paths flux forest gradient grid cell hillslope hydraulic conductivity hydrological input irradiance land cover landform landform elements landscape leaf area index locations maximum mean methods monthly Moore MW sediment transport overland flow parameters peatlands pedogenesis potential precipitation predicted profile curvature quasi-dynamic rainfall remote sensing resolution Rho8 riparian runoff RUSLE saturated scale sediment transport capacity short-wave simulation slope soil moisture soil properties soil texture soil-water content solar radiation spatial patterns specific catchment area SRAD stream power study area subsidence crater surface Table TAPES-G terrain analysis terrain attributes tion topographic attributes topographic wetness index transport capacity index upslope contributing area USGS vadose zone variables vegetation watershed Wolock
Beliebte Passagen
Seite 449 - Modelling the effect of data errors on feature extraction from digital elevation models.
Seite 439 - Scaling and uncertainty in the relationship between the NDVI and land surface biophysical variables: an analysis using a scene simulation model and data from FIFE, Remote Sensing Environ., 54, 233-246.
Seite 439 - Woodcock CE (1997) Multiscale vegetation data for the mountains of southern California - spatial and categorical resolution.
Seite 464 - Soil Conservation Service, Cooperative Extension Service, and Agricultural Stabilization and Conservation Service, is heavily committed to providing fanners with technical assistance.
Seite 446 - SJ 1992. GIS implications for hydrologic modeling: simulation of non-point pollution generated as a consequence of watershed development scenarios. Computers.