Terrain Analysis: Principles and ApplicationsJohn P. Wilson, John C. Gallant John Wiley & Sons, 3 ago 2000 - 524 pagine 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. |
Sommario
Digital Elevation Models and Representation of Terrain Shape | 29 |
Primary Topographic Attributes | 51 |
Secondary Topographic Attributes | 87 |
Effect of Data Source Grid Resolution and FlowRouting Method | 133 |
Spatial Analysis of SoilMoisture Deficit and Potential Soil Loss | 163 |
Mapping Contributing Areas for Stormwater Discharge | 183 |
SoilMoisture Modeling in Humid Mountainous Landscapes | 205 |
Stochastic Analysis of a Coupled SurfaceSubsurface | 225 |
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 |
Future Directions for Terrain Analysis | 423 |
References | 429 |
| 469 | |
The Role of Terrain Analysis in Soil Mapping | 245 |
Automated Landform Classification Methods for SoilLandscape | 267 |
Parole e frasi comuni
algorithm ARC/INFO average basin black spruce buffer calculated channel Chapter classes classification computed contour Creek delineated DEMs depth derived digital elevation model downslope drainage drainage basin dynamic element elevation data environmental Equation erosion errors estimated evapotranspiration factor Figure flow paths forest gradient grid cell hillslope hydraulic conductivity hydrological input irradiance jack pine land cover landform landform elements landscape leaf area index locations mean methods Moore parameters peatlands pedogenesis percentile potential precipitation predicted profile curvature quasi-dynamic remote sensing resolution Rho8 riparian riparian zones runoff sampling saturated scale sediment transport capacity short-wave simulation slope soil moisture soil properties soil-water content solar radiation spatial patterns species specific catchment area SRAD stream power study area subsidence crater subsurface surface Table TAPES-G temperature terrain analysis terrain attributes tion topographic attributes topographic wetness index transport capacity index upland upslope contributing area USGS vadose zone values variables vegetation watershed
Brani popolari
Pagina 438 - Simulation of field water uptake by plants using a soil water dependent root extraction function.
Pagina 449 - Modelling the effect of data errors on feature extraction from digital elevation models.
Pagina 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.
Pagina 439 - Woodcock CE (1997) Multiscale vegetation data for the mountains of southern California - spatial and categorical resolution.
Pagina 464 - Soil Conservation Service, Cooperative Extension Service, and Agricultural Stabilization and Conservation Service, is heavily committed to providing fanners with technical assistance.
Pagina 446 - SJ 1992. GIS implications for hydrologic modeling: simulation of non-point pollution generated as a consequence of watershed development scenarios. Computers.