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).