xDEM: Analysis of digital elevation models for geosciences

xDEM aims at simplifying the analysis of digital elevation models (DEMs). This module provides typical post-processing steps such as coregistration, elevation/volume change measurements and error statistics.

Getting started

• About xDEM
• How to install
  • Installing with conda (recommended)
  • Installing with pip
  • Installing for contributors
• Quick start
  • Sample data
  • Load DEMs and calculate elevation difference

Background

• Digital elevation models
• The need for robust statistics
  • Measures of central tendency and dispersion
  • Measures of correlation
  • Regression analysis
• Analysis of accuracy and precision
  • Accuracy and precision
  • Absolute or relative accuracy
  • Optimizing DEM absolute accuracy
  • Optimizing DEM relative accuracy
  • Quantifying DEM precision

Features

• Vertical referencing
• Terrain attributes
  • Slope
  • Aspect
  • Hillshade
  • Curvature
  • Planform curvature
  • Profile curvature
  • Topographic Position Index
  • Terrain Ruggedness Index
  • Roughness
  • Rugosity
  • Fractal roughness
  • Generating multiple attributes at once
• Coregistration
  • Introduction
  • The Coreg object
  • Nuth and Kääb (2011)
  • Deramping
  • Bias correction
  • ICP
  • The CoregPipeline object
• Bias corrections
  • Directional biases
  • Terrain biases
• Filtering
• Differencing and volume change
  • dDEM interpolation
  • The DEMCollection object
• Spatial statistics
  • Spatial statistics for DEM precision estimation
  • Metrics for DEM precision
  • Workflow for DEM precision estimation

Gallery of examples

• Basic
• Advanced

API Reference

• API Reference
  • xdem.coreg
  • xdem.dem
  • xdem.filters
  • xdem.spatialstats
  • xdem.terrain
  • xdem.volume
  • DEM
  • DEMCollection
  • dDEM

Indices and tables

• Index

• Module Index

• Search Page