This text file explains the contents of the data package that supports the journal article:
"A Density-Based Algorithm for the Detection of Individual Trees from LiDAR Data"

Melissa Latella, Politecnico di Torino, Italy. January 2021.

********** Contents **********

1. This file: "Readme.txt"
Explanatory readme.

2. Folder: "Example_Areas"
This folder contains 12 sub-folders with the data of the 12 study areas that have been used as an example for the application of the presented algorithm in the article.
Each sub-folder is organised as follows:
	1. "Orthophotos";
	2. "LiDAR", which contains the original and sub-sampled point clouds;
	3. "Shapefiles", which contains the shapefiles of the area contour and the tree identified during the field activities carried out in February 2019.

3. Folder: "ITDM_Algorithm"
This folder contains:
- The MATLAB code "ITDM_v1.m" which allows the user to detect individual trees from a text file containing the coordinates of a point cloud.
- The "Input" folder containing the .txt files that represent the point clouds of 12 example areas, named as D1, D2, ..., D12.
- The "Output" folder containing the results that have been described in the article and obtained by applying the ITDM algorithm to the 12 study areas:
	- in the folder "Algorithm" there are the final results for the 12 areas;
	- in the folder "ClippingRadius" there are the results of the sensitivity analysis that has been carried out for the clipping radius parameter;
	- in the folder "StemSpacing" there are the results of the sensitivity analysis 			that has been carried out for the stem spacing parameter;
	- in the folder "Resampling" there are the results of the algorithm when applied to the example point clouds after different rates of sub-sampling.


********** Licence **********
This data package is licensed using the creative commons attributions 4.0 licence (https://creativecommons.org/licenses/by/4.0/legalcode).