chm_seg

<p>Example data set containing the canopy height map of a small plot sampled in the Maburg University Forest (MOF). The resolution is 10 cm. ETRS89 UTM32</p>

Support the analysis of drone derived imagery and point clouds as a cheap and easy to use alternative/complement to light detection and ranging data. It provides functionality to analyze poor quality digital aerial images as taken by low budget ready to fly drones. This includes supported machine learning based classification functions, comprehensive texture analysis, segmentation algorithms as well as forest relevant analyzes of metrics and measures on the derived products.

Chris Reudenbach

uavRst

Unmanned Aerial Vehicle Remote Sensing Tools

Florian Detsch

Hanna Meyer

Finn M<c3><b6>ller

Thomas Nauss

Lars Opgenoorth

Environmental Informatics Marburg 

chm_seg function

Format

Canopy height model raster map — chm_seg

Canopy height model raster map

chm_seg: Canopy height model raster map

Description

Arguments

Format