Chapter 5 Geostatistical Simulation and Error Propagation in Geomorphometry

摘要: Publisher Summary This chapter aims to demonstrate how uncertainty in digital elevation model (DEM) attributes can be quantified using geostatistical methods and show the propagation of errors DEM derived products may computed. To attribute DEMs have positional like a shift along one or both coordinate axes, rotational errors, scaling projection combination these. In this chapter, only are considered. It describe spatial modeling computed Monte-Carlo method. method is most often used error because it generic, flexible, intuitively appealing. order increasing complexity, considers from three derivatives, namely slope (a local land-surface parameter), topographic wetness index regional soil redistribution resulting water erosion complex model). also describes analysis detail.