Special Paper 52, The Scarp Identification and Contour Connection Method (SICCM): A Tool for Use in Semi-Automatic Landslide Mapping, by Michael Bunn, Ben A. Leshchinsky, Michael J. Olsen, Nancy C. Calhoun, Jon J. Franczyk, and William J. Burns.[Go back] | Publications Center | DOGAMI Home
Special Paper 52, The Scarp Identification and Contour Connection Method (SICCM): A Tool for Use in Semi-Automatic Landslide Mapping, by Michael Bunn, Ben A. Leshchinsky, Michael J. Olsen, Nancy C. Calhoun, Jon J. Franczyk, and William J. Burns.
The Scarp Identification and Contour Connection Method (SICCM) uses a set of Python scripts packaged in an ArcGIS toolbox to provide an efficient, semi-automatic framework to quickly scan large areas within a region and detect morphological features that indicate possible landslides. The tool was tested using lidar imagery of the Lutsinger Creek watershed. Readers of this publication will have an understanding of how to use the SICCM tool as a basis for a licensed geologist to create a landslide inventory.
SP-52 PUBLICATION CONTENTS
Report text only (58 p., 9 MB PDF), including Appendix A-How to use the SICCM Tool:
-Toolbox Layout
-Prerequisites
-Default Tool Inputs and Output File Naming Conventions
-Tool Instructions
-SICCM Process Guide – Scarp Identification Tools
-SICCM Toolbox Interface
GIS-only bundle (3 MB .zip file): SICCM Toolbox and required files; Esri-formatted geodatabase and metadata for example study area - Lutsinger Creek watershed
Map plate (91 MB PDF)
SICCM Process Guide reference sheet (1.4 MB PDF)
Publication bundle (105 MB .zip file) - text report, GIS files, map plate, and SICCM Process Guide reference sheet
Map plate: Maps Showing Three Levels of SICCM Landslide Modeling Results for the Lutsinger Creek Watershed, Central Coast Range, Oregon
SICCM Process Guide reference sheet (PDF)
Contour Connection Method (CCM) tool:
You can get the CCM tool and also find all tools and documentation related to SICCM on the Ben Leshchinsky Research Group website: http://geotech.forestry.oregonstate.edu/CCM.html
Related DOGAMI publication:
Special Paper 42, Protocol for Inventory Mapping of Landslide Deposits from Light Detection and Ranging (Lidar) Imagery, 2009