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Comparing RIEGL RiCOPTER UAV LiDAR Derived Canopy Height and DBH with Terrestrial LiDAR

Benjamin Brede, Alvaro Lau, Harm Bartholomeus, Lammert Kooistra
2017 Sensors  
In this study, we present first results and experiences with the RIEGL RiCOPTER with VUX R -1UAV ALS system and compare it with the well tested RIEGL VZ-400 TLS system.  ...  We conclude that RiCOPTER has the potential to perform comparable to TLS for estimating forest canopy height and DBH under the studied forest conditions.  ...  As first steps we compared the RiCOPTER with the well tested RIEGL VZ-400 TLS by deriving CHM and estimating DBH.  ... 
doi:10.3390/s17102371 pmid:29039755 pmcid:PMC5677400 fatcat:utco4qynabc6xkaoriv52bvwqi

Comparison of Backpack, Handheld, Under-Canopy UAV, and Above-Canopy UAV Laser Scanning for Field Reference Data Collection in Boreal Forests

Eric Hyyppä, Xiaowei Yu, Harri Kaartinen, Teemu Hakala, Antero Kukko, Mikko Vastaranta, Juha Hyyppä
2020 Remote Sensing  
A similar accuracy was obtained when combining stem curves estimated with the under-canopy UAV system and tree heights extracted with an above-canopy flying laser scanning unit.  ...  Using the random forest model, we were able to estimate the DBH of individual trees with an RMSE of 10–20%, the tree height with an RMSE of 2–8%, and the stem volume with an RMSE of 20–50%.  ...  In September 2017 (leaf-on condition), we used the RiCOPTER system (Riegl GmbH) equipped with a VUX-1UAV LiDAR sensor to collect the corresponding point clouds by flying the RiCOPTER at 50 meters above  ... 
doi:10.3390/rs12203327 fatcat:ksnxbcbxv5czfndkqhfic2yldm

Terrestrial laser scanning in forest ecology: Expanding the horizon

Kim Calders, Jennifer Adams, John Armston, Harm Bartholomeus, Sebastien Bauwens, Lisa Patrick Bentley, Jerome Chave, F. Mark Danson, Miro Demol, Mathias Disney, Rachel Gaulton, Sruthi M. Krishna Moorthy (+7 others)
2020 Remote Sensing of Environment  
Terrestrial laser scanning (TLS) was introduced for basic forest measurements, such as tree height and diameter, in the early 2000s.  ...  Furthermore, these new developments enable new applications such as radiative transfer modelling with realistic virtual forests, monitoring of urban forests and larger scale ecosystem monitoring through  ...  Travel funding for some US participants was provided by the NSF Terrestrial Laser Scanning (TLS)RCN 1455636 (RCN-IBDR: Coordinating the Development of Terrestrial Lidar Scanning for Aboveground Biomass  ... 
doi:10.1016/j.rse.2020.112102 fatcat:wvk37s2zlzfihamze5hwxrdmdu

A Case Study of UAS Borne Laser Scanning for Measurement of Tree Stem Diameter

Martin Wieser, Gottfried Mandlburger, Markus Hollaus, Johannes Otepka, Philipp Glira, Norbert Pfeifer
2017 Remote Sensing  
With increasing use of terrestrial and airborne laser scanning in forestry, new exceeding possibilities to directly derive DBH emerge.  ...  As reference, manually measured DBHs and DBHs from terrestrial laser scanning point clouds are used for comparison.  ...  Data Capturing Data capturing was carried out on 26 February 2015 under leaf-off conditions (see Figure 2 ) with a Riegl VUX-SYS sensor mounted on a RiCOPTER UAS (RIEGL Laser Measurement Systems GmbH,  ... 
doi:10.3390/rs9111154 fatcat:oe7t6bd6xbhijdowjre4b34me4

Acquisition of Forest Attributes for Decision Support at the Forest Enterprise Level Using Remote-Sensing Techniques—A Review

Peter Surový, Karel Kuželka
2019 Forests  
With satellite images that can obtain sub-meter spatial resolution, and new hardware, particularly unmanned aerial vehicles and systems, there are many emerging opportunities for improved data acquisition  ...  The most easily accessible forest variable described in many works is stand or tree height, followed by other inventory variables like basal area, tree number, diameters, and volume, which are crucial  ...  The study showed that the RIEGL RiCOPTER equipped with VUX-1UAV laser scanner could provide 3D point cloud allowing for deriving DBH.  ... 
doi:10.3390/f10030273 fatcat:fzowinbsvfdwtnpe45f6yfzu6a

Under-canopy UAV laser scanning for accurate forest field measurements

Eric Hyyppä, Juha Hyyppä, Teemu Hakala, Antero Kukko, Michael A. Wulder, Joanne C. White, Jiri Pyörälä, Xiaowei Yu, Yunsheng Wang, Juho-Pekka Virtanen, Onni Pohjavirta, Xinlian Liang (+2 others)
2020 ISPRS journal of photogrammetry and remote sensing (Print)  
By combining the stem curves extracted from the under-canopy UAV laser scanning data with tree heights derived from above-canopy UAV laser scanning data, we computed stem volumes for the detected trees  ...  Thus, the combination of under-canopy and above-canopy UAV laser scanning allowed us to extract the stem volumes with an accuracy comparable to the past best studies based on TLS in boreal forest conditions  ...  T.H. and H.K. planned and carried out the UAV data measurements. J.H. and H.K. acted as senior authors.  ... 
doi:10.1016/j.isprsjprs.2020.03.021 fatcat:swt66xb3avdutamsqcpkidj2au

Estimating Changes in Leaf Area, Leaf Area Density, and Vertical Leaf Area Profile for Mango, Avocado, and Macadamia Tree Crowns Using Terrestrial Laser Scanning

Dan Wu, Stuart Phinn, Kasper Johansen, Andrew Robson, Jasmine Muir, Christopher Searle
2018 Remote Sensing  
a RIEGL VZ-400 Terrestrial Laser Scanning (TLS) system.  ...  and canopy geometry.  ...  We also thank Aaron Aeberli and Yu-Hsuan Tu for their assistance with fieldwork and Eva Kovacs for editing the manuscript. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs10111750 fatcat:pm6q443qbjauhdenyjtkhkrbxy

Advances for the new remote sensing technology in ecosystem ecology research

Qing-Hua GUO, Tian-Yu HU, Qin MA, Ke-Xin XU, Qiu-Li YANG, Qian-Hui SUN, Yu-Mei LI, Yan-Jun SU, State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China, University of Chinese Academy of Sciences, Beijing 100049, China
2020 Chinese Journal of Plant Ecology  
Specifically, this study focuses on the derivation of biological factors from remote sensing data, including vegetation types, structures, functions and biodiversity of terrestrial ecosystems.  ...  As the increasing pressure caused by climatic changes and human activities, the structure and function of terrestrial ecosystems are undergoing dramatic changes.  ...  Com- paring RIEGL RiCOPTER UAV LiDAR derived canopy height and DBH with terrestrial LiDAR. Sensors, 17, 2371. DOI: 10.3390/s17102371. Butnor JR, Doolittle JA, Kress L, Cohen S, Johnsen KH (2001).  ... 
doi:10.17521/cjpe.2019.0206 fatcat:bjohdlwbxnebfdwibq2kyapy4i

Tree Biomass Equations from Terrestrial LiDAR: A Case Study in Guyana

Alvaro Lau, Kim Calders, Harm Bartholomeus, Christopher Martius, Pasi Raumonen, Martin Herold, Matheus Vicari, Hansrajie Sukhdeo, Jeremy Singh, Rosa C. Goodman
2019 Forests  
These models were based on tree attributes (diameter, height, crown diameter) obtained from terrestrial laser scanning (TLS) point clouds from 72 tropical trees and wood density.  ...  We validated our methods and models with data from 26 additional destructively harvested trees.  ...  We extend a very special thanks to the Guyana Forestry Commission and especially to Pradeepa Bholanath and Nasheta Dewnath for all the assistance before, during, and after the fieldwork.  ... 
doi:10.3390/f10060527 fatcat:5fg6dhy2czfdplxxhw7p44k7zy

Vegetation Dynamics in Ecuador

Víctor Hugo González-Jaramillo, Geographie, Bendix, Jörg (Prof. Dr.)
2020
Furthermore, to provide a cost-effective tool for continuous forest monitoring of the most vulnerable parts, an Unmanned Aerial Vehicle (UAV) was deployed and equipped with various sensors (RBG and multispectral  ...  Furthermore, the LiDAR data permitted the detection of the forest structure, and therefore the identification of [...]  ...  Brede B, Lau A, Bartholomeus H, Kooistra L (2017): Comparing RIEGL RiCOPTER UAV LiDAR derived canopy height and DBH with terrestrial LiDAR. Sensors 17(10): 2371.  ... 
doi:10.17192/z2020.0075 fatcat:smjzq243wre2bc36x7jrb5i6my