DOI: 10.23729/d241a6e3-d094-400a-8e92-2951be57f476
title: Kalkkinen 2000 Toposys-I Falcon and Kalkkinen 2021 Riegl miniVUX-3UAV point clouds and reference data
title: Kalkkinen 2000 Toposys-I Falcon - ja Kalkkinen 2021 Riegl miniVUX-3UAV -pistepilvet ja referenssidata

description: Point clouds from years 2000 and 2021 from Kalkkinen test forest. The point clouds consist of the x, y, and z coordinates of the points. Data are named after the sensor. Reference data, collected in years 2001 and 2021, consists of tree ID, x and y coordinates, dbh, height and stem volumes. Units are mm, dm, and m^3. NaN values refer to damaged or fallen trees. Data is part of Academy of Finland Research Infrastructure SCANFOREST (Measuring Spatiotemporal Changes in Forest Ecosystem Research Infrastructure) public data sets. https://www.scanforest.fi/ We gratefully acknowledge the Academy of Finland projects “Forest-Human-Machine Interplay" (Academy decision 337656), “Estimating Forest Resources and Quality-Related Attributes Using Automated Methods and Technologies” (334829, 334830), "Capturing structural and functional diversity of trees and tree communities for supporting sustainable use of forests" (348644), "Feasibility of Inside-Canopy UAV Laser Scanning for Automated Tree Quality Surveying" (334002), and the Ministry of Agriculture and Forestry project "Future forest information system at individual tree level" (VN/3482/2021). The laser scanning data from the year 2000 was obtained from J.H. Academy Senior Fellow and EU IV FWP project HIGH-SCAN, coordinated by J.H. during 1998-2001. All use of the data should refer to the following article, which also includes the details of the data, sensors and general applicability. Soininen, V.; Kukko, A.; Yu, X.; Kaartinen, H.; Luoma, V.; Saikkonen, O.; Holopainen, M.; Matikainen, L.; Lehtomäki, M.; Hyyppä, J. Predicting Growth of Individual Trees Directly and Indirectly Using 20-Year Bitemporal Airborne Laser Scanning Point Cloud Data. Forests 2022, 13, 2040. https://doi.org/10.3390/f13122040
description: Pistepilvet vuosilta 2000 ja 2021 Kalkkisen koealueelta. Data koostuu pisteiden x-, y- ja z-koordinaateista. Tiedostot on nimetty sensorin mukaan. Referenssidata on vuosilta 2001 ja 2021 ja koostuu puiden ID:istä, x- ja y-koordinaateista, dbh-luvusta, korkeudesta ja runkotilavuudesta. Yksikköinä mm, dm ja m^3. NaN-arvot viittaavat vahingoittuneisiin tai kaatuneisiin puihin. Aineisto on osa Suomen Akatemian tutkimusinfrastrukturin SCANFOREST (Measuring Spatiotemporal Changes in Forest Ecosystem Research Infrastructure) aineistoja. https://www.scanforest.fi/ Aineisto on tuotettu hankkeissa Suomen Akatemia “Forest-Human-Machine 554 Interplay" (Academy decision 337656), “Estimating Forest Resources and Quality-Related Attributes Using Automated Methods and Technologies” (334829, 334830), "Capturing structural and functional diversity of trees and tree communities for supporting sustainable use of forests" (348644), "Feasibility of Inside-Canopy UAV Laser Scanning for Automated Tree Quality Surveying" (334002) ja MMM "Future forest information system at individual tree level" (VN/3482/2021). Vuoden 2000 tutkimusaineisto on tuotettu hankkeissa Juha Hyyppä Akatemiatutkija (1996-2001) ja Eu-hanke HIGH-SCAN 1998-2001. Käyttäjien tulee viitata kaikessa datan käytössä artikkeliin, joka sisältää myös yksityiskohdat aineistoista ja sen soveltuvuudesta. Soininen, V.; Kukko, A.; Yu, X.; Kaartinen, H.; Luoma, V.; Saikkonen, O.; Holopainen, M.; Matikainen, L.; Lehtomäki, M.; Hyyppä, J. Predicting Growth of Individual Trees Directly and Indirectly Using 20-Year Bitemporal Airborne Laser Scanning Point Cloud Data. Forests 2022, 13, 2040. https://doi.org/10.3390/f13122040