Individual Tree Detection (ITC)
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* Enter name and path for an temporary output file. | * Enter name and path for an temporary output file. | ||
* Click on {{button|text=Run}}. | * Click on {{button|text=Run}}. | ||
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=Invert the CHM= | =Invert the CHM= | ||
Revision as of 23:13, 6 January 2018
Contents |
Filtering of a 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.
