RSAGA (version 0.94-5)

landslides: Landslide Inventory and DEM

Description

Landslide initiation points in the Reserva Biologica San Francisco (RBSF) area of the tropical Andes in Ecuador. The landslide inventory was mapped by Stoyan (2000) in the field and by the presence of landslide scars in aerial imagery. The 10 m x 10 m digital elevation model (DEM) was triangulated from aerial imagery as described by Jordan et al. (2005) and provided courtesy of Lars Ungerechts (2010).

Format

A data frame of 1535 rows and 3 variables:

• x: the x coordinate of the sample point
• y: the y coordinate of the sample point
• lslpts: TRUE or FALSE of landslide observation at sample point

A digital elevation model as a .Rd grid dem

• $header list of 8 DEM header properties
• $data grid elevation values (m ASL)

Source

DEM: Ungerechts, L. (2010): DEM 10m (triangulated from aerial photo - b/w). Available online: http://www.tropicalmountainforest.org/data_pre.do?citid=901 Jordan, E., Ungerechts, L., Caceres, B. Penafiel, A. and Francou, B. (2005): Estimation by photogrammetry of the glacier recession on the Cotopaxi Volcano (Ecuador) between 1956 and 1997. Hydrological Sciences, 50, 949-961 Landslide Data: Muenchow, J., Brenning, A., Richter, R. (2012) Geomorphic process rates of landslides along a humidity gradient in the tropical Andes, Geomorphology, 139-140, 271-284 Stoyan, R. (2000). Aktivitat, Ursachen und Klassifikation der Rutschungen in San Francisco/Sudecuador. Unpublished Diploma Thesis, University of Erlangen-Nuremberg, Germany.

Details

Loading this dataset also loads the object dem. Existing objects named dem may be overwritten.

Landslide data provided here are a subset of that used to build generalized additive models (GAMs) as landslide susceptibility models by Muenchow et al. (2012). These data correspond to those in the "natural" part of the RBSF area. Please refer to the accompanying vignette for an introductory tutorial on the use of the RSAGA package for terrain analysis, geoprocessing, and model-building using these data.

Examples

## Not run: 
# library(RSAGA)
# data(landslides)
# 
# # Print the DEM header:
# dem$header
# 
# # Write the DEM to a SAGA grid:
# write.sgrd(data = dem, file = "dem", header = dem$header, env = env)
# 
# # Calculate slope of DEM:
# rsaga.slope(in.dem = "dem", out.slope = "slope", method = "poly2zevenbergen", env = env)
# 
# # Pick slope values at landslide points,
# # added to landslides data.frame as variable "slope":
# landslides <- pick.from.saga.grid(data = landslides,
#                                   filename = "slope",
#                                   varname = "slope",
#                                   env = env)
# ## End(Not run)