Individual Tree Detection (ITC)

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(Filtering of a CHM derived from LiDAR data)
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=Filtering of a CHM derived from LiDAR data=
 
=Filtering of a CHM derived from LiDAR data=
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We use a Canopy Height Model in raster format [http://wiki.awf.forst.uni-goettingen.de/wiki/index.php/Canopy_Height_Model_based_on_Airborne_Laserscanning_using_LAStools#Create_a_CHM_directly_from_height-normalized_points:_lasthin_and_las2dem CHM]
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=Invert the CHM=
 
=Invert the CHM=
 
=Watershed segmentation=
 
=Watershed segmentation=

Revision as of 22:58, 6 January 2018

Contents

Filtering of a CHM derived from LiDAR data

We use a Canopy Height Model in raster format CHM

Invert the CHM

Watershed segmentation

Extracting tree heights

Generate a seed grid

Seeded region growing

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