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This study aims to clustering (K-means) and classify (Random Forest) forest tiles based on height metrics from LiDAR data, with PCA for dimenstion reduction.

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VietDucNg/classify-forestTiles-by-height

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classify-forestTiles-by-height

This study aims to clustering (K-means) and classify (Random Forest) forest tiles based on height metrics caculated from LiDAR data, with PCA for dimenstion reduction.

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👨‍🏫 The materials prepared by Viet Nguyen (University of Greifswald | Institute of Geography and Geology).

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This study aims to clustering (K-means) and classify (Random Forest) forest tiles based on height metrics from LiDAR data, with PCA for dimenstion reduction.

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