Exploring existing gully inventories in the Gisborne area in New Zealand to develop a gully detection approach based on LiDAR and terrain derivatives.
Summary of work so far:
Reference data needed some correction regarding co-registration, the approach followed is documented here. The sample preparation for deep learning is documented here.
A calculation of terrain derivatives was prepared based on the LiDAR
DEM data provided. The approach is documented
here
and to developed this, an R package
terrain
was created to ease
the workflow.
A summary of the exploration of the reference data and initial tests with deep learning approaches in ArcGIS are documented here and here.
Further experimentation with ArcGIS Pro deep learning tools led to the insights documented here.
This research work is supported by the New Zealand Ministry of Business, Innovation and Employment research program “Smarter Targeting of Erosion Control (STEC)” (Contract C09X1804).