/forest-lidar-data

A collection of openly available forest lidar datasets

Welcome to Forest Lidar Data! 🌲

A collection of openly available forest lidar datasets.

Europe

Finland

ScanForest: https://www.scanforest.fi/data/

Desc: Multi-temporal, multi-site dataset across 37 plots.

Citation (2014): National Land Survey of Finland, University of Helsinki, Mikko Vastaranta, Ville Luoma, Harri Kaartinen, Antero Kukko, and Ville Kankare. 2021. ”Terrestrial laser scanning point clouds from Evo test site, 37 sample plots, spring/summer 2014”. Version 1. University of Eastern Finland, Metsätieteiden osasto. https://doi.org/10.23729/e417a814-5fde-45fb-9b4e-1a878366f662

(and 2019)

University of Eastern Finland, National Land Survey of Finland, University of Helsinki, Yrttimaa, T., Vastaranta, M., Saarinen, N., Kankare, V., Luoma, V., & Hyyppä, J. (2021). Terrestrial laser scanning point clouds from Evo test site, 37 sample plots, autumn 2019 (Version 1). University of Eastern Finland, Metsätieteiden osasto. https://doi.org/10.23729/b6e7c1bc-69a9-401d-aad2-af4b0c062a25

Germany

https://doi.pangaea.de/10.1594/PANGAEA.933426

Desc: Forest stand point clouds from southwest Germany (2019 and 2020) using aircraft, an unmanned aerial vehicle (UAV) and ground-based LIDAR. 12 plots.

Citation: Weiser, H., Schäfer, J., Winiwarter, L., Krašovec, N., Fassnacht, F. E., and Höfle, B.: Individual tree point clouds and tree measurements from multi-platform laser scanning in German forests, Earth Syst. Sci. Data Discuss. [preprint], https://doi.org/10.5194/essd-2022-39, in review, 2022.

South America

Brazil

Time-series of plant area density (PAD) collected in fragmented Amazonian forests (embargo): https://etsin.fairdata.fi/dataset/e488f81b-b927-4bbd-a6f7-2f532f434b2b

Desc: Repeated PAI measurements from Central Amazonia collected between April and October 2019

Citation: Nunes, M., Camargo, J.L., Vincent, G., Calders, K., Oliveira, R., Huete, A., Moura, Y., Nelson, B., Smith, M., Stark, S. and Maeda, E., 2021. Fragmentation disrupts the seasonality of Amazonian evergreen forests. Nature Communications. https://doi.org/10.1038/s41467-022-28490-7