Individual Tree Detection (ITC)

From AWF-Wiki
Revision as of 23:15, 6 January 2018 by Hfuchs (Talk | contribs)

Jump to: navigation, search

Contents

Filter the CHM derived from LiDAR data

We use a Canopy Height Model (CHM) derived from LiDAR data as decribed here to detect individual tree crowns. Two preprocessing steps prepare a watershed segmentation approach:

  • In the search engine of the Processing Toolbox, type smooth and select Smoothing (gaussian) under Image filtering of the Orfeo Toolbox.
  • Select the CHM raster data file in GeoTiff format as input layer.
  • The smoothing type is gaussian.
  • The circular structuring element has a radius of 2 pixels.
  • Enter name and path for an temporary output file.
  • Click on Run.

Qgis smooth gauss2.png

Invert the CHM

Watershed segmentation

Extracting tree heights

Generate a seed grid

Seeded region growing

Personal tools
Namespaces

Variants
Actions
Navigation
Development
Toolbox
Print/export