The Highest Gradient Model: A New Method for Analytical Assessment of the Efficiency of LiDAR-Derived Visualization Techniques for Landform Detection and Mapping

摘要: ALS-derived raster visualization techniques have become common in recent years, opening up new possibilities for subtle landform detection earth sciences and archaeology, but they also introduced confusion users. As a consequence, the choice between these is still mostly supported by empirical knowledge. Some attempts been made to compare techniques, there lack of analytical data. This work proposes method, based on gradient modelling spatial statistics, analytically assess efficacy techniques. A selected panel outstanding was assessed first classic non-analytical approach, secondly proposed approach. The comparison results showed that latter provided more detailed objective data, not always consistent with previous These data allowed us characterize precision terrain which each technique performs best. combination DEM manipulation (Slope Local Relief Model) appeared be best normal morphometry, occasionally illumination such as Sky-View Factor or Negative Openness function characteristics.