Terrain analysis : principles and applications
By John P. Wilson, John C. Gallant. 2000
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Citations in the corpus
- Updating soil survey maps using random forest and conditioned Latin hypercube sampling in the loess derived soils of northern Iran (2014, methodology): “Mercator projection, resampled to 30 m and used to derive terrain attributes (Wilson and Gallant, 2000).”
- Site-specific production functions for variable rate corn nitrogen fertilization (2006, background): “Landscape characteristics can be described by primary and secondary terrain attributes (Moore et al. 1991; Wilson and Gallant 2000).”
- Extrapolating regional soil landscapes from an existing soil map: Sampling intensity, validation procedures, and integration of spatial context (2008, methodology): “The compound topographic index (CTI), also referred to as wetness index, was derived from the slope and upslope contributing area (Wilson and Gallant, 2000).”
- Assessing the predictive capability of ensemble tree methods for landslide susceptibility mapping using XGBoost, gradient boosting machine, and random forest (2020, background): “…measure in the characterization of landslide morphology and was reclassified in 8 sub-classes by NB. TPI measures the difference between elevation at the central point of a neighborhood pixel and the average elevation around this pixel [103] and it was reclassified in 8 natural break classes.”
- An illustrated introduction to general geomorphometry (2017, background): “Comprehensive reviews of the application of the morphometric variables can be found elsewhere (Florinsky, 1998b, 2016: pts II and III; Hengl and Reuter, 2009: pt. III; Moore et al., 1991; Wilson and Gallant, 2000).”
- Spatial Prediction of Rainfall-Induced Landslides Using Aggregating One-Dependence Estimators Classifier (2018, background): “Plan curvature, which is a curvature of a contour line formed by intersecting a horizontal plane with the surface, is also considered as a landslide influencing factor (Wilson and Gallant 2000).”