Stratified random forest sampling by stand density (Pinaceae)

Subcategory: spatial sampling

Papers: 1 | Mentions: 1

Local Knowledge Graph (12 entities)

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Description

Stratified random sampling approach that categorizes trees by canopy volume and neighborhood density using kernel density estimation, then randomly selects representatives from each stratum.

Typical Equipment

QGIS processing toolbox
Kernel Density Estimation function
R script for random sampling

Output Measurements

representative tree sample
stand density categories

Papers Using This Protocol (1)

student_paper

Stem and canopy growth analysis in Picea Engelmannii with UAVs and field measurements

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