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Metadata

Name
Dataset from paper "Abundance of canopy palm trees across the Brazilian Amazon forests mapped with deep learning and airborne LiDAR data"
Repository
ZENODO
Identifier
doi:10.5281/zenodo.5670268
Description
Data and code from the paper:

Dalagnol, R.&nbsp;et al.&nbsp;Abundance of canopy palm trees across the Brazilian Amazon forests mapped with deep learning and airborne LiDAR data.

Link:&nbsp;TBD

&nbsp;

This repository contains:

1) model_train.R: This is the code to run the U-Net model in R language.

2) input.rar: Dataset of lidar canopy height model (CHM) images and masks (labels) patches of canopy palms obtained from four sites in the Brazilian Amazon.&nbsp;The images/masks&nbsp;have 128 x 128 pixels, where each pixel represents 0.5 m in the terrain. The dataset contains 2,269 images and masks, with close to 7,000 palms manually labelled.

3) unet_weights_best.h5: These are the best weights for the U-Net architecture achieved in the paper.

4) palm_stats.RData: Data frame with the lat/lon coordinates and palm metrics extracted for the 610 lidar sites in the Brazilian Amazon. (i) n_total is the number of palms, (ii) n_ha is the density of palms per hectare, (iii) crown_ metrics are based on the area of palm segments (in square meters), (iv) cover_total is the total area occupied by palms in the forest canopy (in square meters), (v)&nbsp;cover_rel is the relative cover of palms in the forest canopy (in percentage), (vi) height_ metrics are based on the height of palm segments (in meters), (vii) palm_height_dif_mean is the mean difference between palm height and local canopy height, and (viii) palm_height_dif_pvalue&nbsp;is the p-value assessing the statistical difference between the palm and canopy heights where 0 means no difference and -1/+1 means a negative/positive difference.

&nbsp;

If you need anything else, please contact the corresponding author: Ricardo Dalagnol (ricds@hotmail.com).
Data or Study Types
multiple
Source Organization
Unknown
Access Conditions
available
Year
2021
Access Hyperlink
https://doi.org/10.5281/zenodo.5670268

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