/Communications-Earth-Envt-2022

Code associated with manuscript entitled, Mapping tropical forest functional variation at satellite remote sensing resolutions depends on key traits.

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Communications-Earth-Envt-2022

Code associated with manuscript entitled, Mapping tropical forest functional variation at satellite remote sensing resolutions depends on key traits.

This repository includes an R script to organize, resample, and merge data for application of PCA and k-means clustering code using the Danum Valley site data as an example. The same code can be used with the Sepilok data.

Data Availability

The data associated with this manuscript and used in this script are published on Zenodo via the Global Airborne Observatory account and can be found via the searchable DOIs cited below.

  • Trait Maps: Global Airborne Observatory foliar trait maps for Sepilok Forest Reserve and the Danum Valley ForestGEO 50-ha plot with a 1-km buffer in Sabah, Malaysia derived from imaging spectroscopy data collected 31 March to 30 April 2016: Leaf Mass per Area (LMA), Foliar P, Foliar N rasters. DOI: 10.5281/zenodo.7051897; https://zenodo.org/record/7051897#.YxZ_m3bMJPZ
  • LiDAR: Global Airborne Observatory LiDAR data for Sepilok Forest Reserve and the Danum Valley ForestGEO 50-ha plot with a 1-km buffer in Sabah, Malaysia collected 31 March to 30 April 2016: Top-of-canopy height (TCH), P:H, Leaf Area Density (LAD), rasters. DOI: 10.5281/zenodo.7051897; https://zenodo.org/record/7051897#.YxZ_m3bMJPZ