DEM analysis using R + OS GIS

Course title: DEM analysis using R + OS GIS
Course code: ISRIC-RDEM
Subject areas (Curriculum): Soil and terrain mapping, Software tools
Duration: 1-2 days
Short description: R and OS GIS such as SAGA GIS and/or GRASS GIS represent a powerful combo of packages to analyze digital elevation models - to derive land surface parameters and objects, run hydrological analysis and operate with raster maps. The course focuses on connecting R with SAGA GIS (RSAGA package) and GRASS GIS (spgrass6) and then automating analysis by scripting. The objective of this course is to train participants to learn to establish link between R and OS GIS and then automate analysis of DEMs for various purposes.
Moderators: T. (Tom) Hengl
Target audience: MSc level and PhD level students working with soil and/or environmental data.
Requirements: Knowledge requirements:
  • GIS modelling (advanced)
  • R programming (basic)
Programme:
  1. Introduction to SAGA GIS and GRASS GIS (1.5 hrs)
  2. Linking R with OS GIS (1.5 hrs)
  3. Exercise - deriving uncertainty of flow models using geostatistical simulations (1.5 hrs)
  4. Exercise - self study and questions (1.5 hrs)
Software / materials: Software:
  • R (packages: sp, raster, rgdal, gstat, RSAGA, spgrass6...)
  • RStudio
  • SAGA GIS
  • GRASS GIS
  • FWTools
Case studies: Baranja hill case study
Literature: Hengl et al. 2011: On the uncertainty of stream networks derived from elevation data: the error propagation approach, HESS
Hengl, T. & Reuter, H.  2008: Geomorphometry: concepts, software and applications.
Minimum number of participants: 5
Maximum number of participants: 25
Further inquiries: Tom Hengl
The R + SAGA GIS + Google Earth triangle