Zenodo
Puliti, Stefano;
Lines, Emily;
Müllerová, Jana;
Frey, Julian;
Schindler, Zoe;
Straker, Adrian;
Allen, Matthew J.;
Lukas, Winiwarter;
Rehush, Nataliia;
Hristova, Hristina;
Murray, Brent;
Calders, Kim;
Terryn, Louise;
Coops, Nicholas C.;
Höfle, Bernhard;
Junttila, Samuli;
Krucek, Martin;
Krok, Grzegorz;
Král, Kamil;
Levick, Shaun R.;
Luck, Linda;
Missarov, Azim;
Mokroš, Martin;
Owen, Harry;
Stereńczak, Krzysztof;
Pitkänen, Timo;
Puletti, Nicola;
Saarinen, Ninni;
Hopkinson, Christopher D.;
Torresan, Chiara;
Tomelleri, Enrico;
Weiser, Hannah;
Astrup, Rasmus
—
2024-08-07
Description
Data for benchmarking tree species classification from proximally-sensed laser scanning data.
Data split and usage
The data is split into:
Development data (dev): these includes 90% of the trees in the dataset and consists of individual tree point clouds (*.laz) named according to the treeID column available in the tree_metadata_dev.csv file, from which tree_species labels are available. These data are meant to be used for model development and can thus be further split into training and validation datasets.
Test data (test): these are 10% of the trees (balanced sample) and include individual tree point clouds (*.laz) but, for benchmarking purposes, the species labels are witheld for benchmarking purposes. Thus to make use of the test data the users should predict species on the test trees, and output a table (.csv file) with a row per predicted tree and two columns (treeID and predicted_species). This table can then be used to create a new submission in the FOR-species20K Codabench benchmarking platform and obtain the evaluation metrics corresponding to the test data.
Cite
Any scientific publication using the data should cite the following paper:
Puliti, S., Lines, E., Müllerová, J., Frey, J., Schindler, Z., Straker, A., Allen, M.J., Winiwarter, L., Rehush, N., Hristova, H., Murray, B., Calders, K., Terryn, L., Coops, N., Höfle, B., Krůček, M., Krokm, G., Král, K., Luck, L., Levick, S.R., Missarov, A., Mokroš, M., Owen, H., Stereńczak, K., Pitkänen, T.P., Puletti, N., Saarinen, N., Hopkinson, C., Torresan, C., Tomelleri, E., Weiser, H., Junttila, S., and Astrup, R. (2024) Benchmarking tree species classification from proximally-sensed laser scanning data: introducing the FOR-species20K dataset. ArXiv; available here
https://creativecommons.org/licenses/by/4.0/legalcode