Citations (60)
Keep up to date with the latest research on this topic with citation updates for this article.
Read on this site (8)
Jun Chen, Liyang Xiong, Bowen Yin, Guanghui Hu & Guoan Tang. (2023) Integrating topographic knowledge into point cloud simplification for terrain modelling. International Journal of Geographical Information Science 37:5, pages 988-1008.
Read now
Read now
Grayson Morgan, Michael E. Hodgson & Cuizhen Wang. (2020) Using sUAS-Derived Point Cloud to Supplement LiDAR Returns for Improved Canopy Height Model on Earthen Dams. Papers in Applied Geography 6:4, pages 436-448.
Read now
Read now
Mao Xuegang, Zhu Liang & Wenyi Fan. (2020) Object-Oriented Automatic Identification of Forest Gaps Using Digital Orthophoto Maps and LiDAR Data. Canadian Journal of Remote Sensing 46:2, pages 177-192.
Read now
Read now
Leighton Lombard, Riyad Ismail & Nitesh Poona. (2019) Modelling forest canopy gaps using LiDAR-derived variables. Geocarto International 34:2, pages 179-193.
Read now
Read now
Volkan Yilmaz & Oguz Güngör. (2019) Estimating crown diameters in urban forests with Unmanned Aerial System-based photogrammetric point clouds. International Journal of Remote Sensing 40:2, pages 468-505.
Read now
Read now
Cigdem Serifoglu Yilmaz, Volkan Yilmaz & Oguz Güngör. (2018) Investigating the performances of commercial and non-commercial software for ground filtering of UAV-based point clouds. International Journal of Remote Sensing 39:15-16, pages 5016-5042.
Read now
Read now
Anjin Chang, Yangdam Eo, Yongmin Kim & Yongil Kim. (2013) Identification of individual tree crowns from LiDAR data using a circle fitting algorithm with local maxima and minima filtering. Remote Sensing Letters 4:1, pages 29-37.
Read now
Read now
RossA. Hill & JuanC. Suárez. (2010) SilviLaser: applications of laser systems for forest assessment and inventory. International Journal of Remote Sensing 31:5, pages 1129-1132.
Read now
Read now
Articles from other publishers (52)
Stanisław Pagacz & Julia Witczuk. (2023) Estimating ground surface visibility on thermal images from drone wildlife surveys in forests. Ecological Informatics 78, pages 102379.
Crossref
Crossref
Jaz Stoddart, Juan Suarez, William Mason & Ruben Valbuena. (2023) Continuous Cover Forestry and Remote Sensing: A Review of Knowledge Gaps, Challenges, and Potential Directions. Current Forestry Reports 9:6, pages 490-501.
Crossref
Crossref
Muxuan Li & Mingshi Li. (2023) Forest Gap Extraction Based on Convolutional Neural Networks and Sentinel-2 Images. Forests 14:11, pages 2146.
Crossref
Crossref
Manuela Hirschmugl, Carina Sobe, Alfredo Di Filippo, Vanessa Berger, Hanns Kirchmeir & Kris Vandekerkhove. (2023) Review on the Possibilities of Mapping Old-Growth Temperate Forests by Remote Sensing in Europe. Environmental Modeling & Assessment 28:5, pages 761-785.
Crossref
Crossref
Jiale Chen, Li Wang, Tommaso Jucker, Hongzhi Da, Zhaochen Zhang, Jianbo Hu, Qingsong Yang, Xihua Wang, Yuchu Qin, Guochun Shen, Li Shu & Jian Zhang. (2023)
Detecting forest canopy gaps using unoccupied aerial vehicle
RGB
imagery in a species‐rich subtropical forest
. Remote Sensing in Ecology and Conservation 9:5, pages 671-686.
Crossref
Crossref
Rong Zhou, Hua Sun, Kaisen Ma, Jie Tang, Song Chen, Liyong Fu & Qingwang Liu. (2023) Improving Estimation of Tree Parameters by Fusing ALS and TLS Point Cloud Data Based on Canopy Gap Shape Feature Points. Drones 7:8, pages 524.
Crossref
Crossref
Marie-Claude Jutras-Perreault, Terje Gobakken, Erik Næsset & Hans Ole Ørka. (2023) Detecting the presence of natural forests using airborne laser scanning data. Forest Ecosystems 10, pages 100146.
Crossref
Crossref
Qinghua Guo, Yanjun Su & Tianyu Hu. 2023. LiDAR Principles, Processing and Applications in Forest Ecology. LiDAR Principles, Processing and Applications in Forest Ecology
215
266
.
Kathleen Coupland, David Hamilton & Verena C. Griess. (2022) Combining aerial photos and LiDAR data to detect canopy cover change in urban forests. PLOS ONE 17:9, pages e0273487.
Crossref
Crossref
Francesco Solano, Giuseppe Modica, Salvatore Praticò, Olivia F. Box & Gianluca Piovesan. (2022) Unveiling the complex canopy spatial structure of a Mediterranean old-growth beech (Fagus sylvatica L.) forest from UAV observations. Ecological Indicators 138, pages 108807.
Crossref
Crossref
Bryce T. Adams & Stephen N. Matthews. (2022) Feature-dependent group structures and hierarchical songbird-habitat relationships in a managed forest landscape. Ecological Indicators 136, pages 108717.
Crossref
Crossref
Nuo Chen & XinJiang Lu. (2021) A novel point cloud simplification method with integration of multiple-feature fusion and density uniformity. Measurement Science and Technology 32:12, pages 125211.
Crossref
Crossref
Zihan Du, Guang Zheng, Guochun Shen & L. Monika Moskal. (2021) Characterizing spatiotemporal variations of forest canopy gaps using aerial laser scanning data. International Journal of Applied Earth Observation and Geoinformation 104, pages 102588.
Crossref
Crossref
Sung-Hwan Park, Hyung-Sup Jung, Sunmin Lee & Eun-Sook Kim. (2021) Mapping Forest Vertical Structure in Sogwang-ri Forest from Full-Waveform Lidar Point Clouds Using Deep Neural Network. Remote Sensing 13:18, pages 3736.
Crossref
Crossref
Irfan A. Iqbal, Jon Osborn, Christine Stone & Arko Lucieer. (2021) A Comparison of ALS and Dense Photogrammetric Point Clouds for Individual Tree Detection in Radiata Pine Plantations. Remote Sensing 13:17, pages 3536.
Crossref
Crossref
Melissa Latella, Fabio Sola & Carlo Camporeale. (2021) A Density-Based Algorithm for the Detection of Individual Trees from LiDAR Data. Remote Sensing 13:2, pages 322.
Crossref
Crossref
Ricardo Dalagnol, Fabien H. Wagner, Lênio S. Galvão, Annia S. Streher, Oliver L. Phillips, Emanuel Gloor, Thomas A. M. Pugh, Jean P. H. B. Ometto & Luiz E. O. C. Aragão. (2021) Large-scale variations in the dynamics of Amazon forest canopy gaps from airborne lidar data and opportunities for tree mortality estimates. Scientific Reports 11:1.
Crossref
Crossref
Jeff W. Atkins, Atticus E. L. Stovall & Xi Yang. (2020) Mapping Temperate Forest Phenology Using Tower, UAV, and Ground-Based Sensors. Drones 4:3, pages 56.
Crossref
Crossref
J. Jurado, M. Ramos, C. Enríquez & F. Feito. (2020) The Impact of Canopy Reflectance on the 3D Structure of Individual Trees in a Mediterranean Forest. Remote Sensing 12:9, pages 1430.
Crossref
Crossref
Javier Guevara, Fernando A. Auat Cheein, Jordi Gené-Mola, Joan Ramón Rosell-Polo & Eduard Gregorio. (2020) Analyzing and overcoming the effects of GNSS error on LiDAR based orchard parameters estimation. Computers and Electronics in Agriculture 170, pages 105255.
Crossref
Crossref
Anouk Glad, Björn Reineking, Marc Montadert, Alexandra Depraz & Jean‐Matthieu Monnet. (2019)
Assessing the performance of object‐oriented Li
DAR
predictors for forest bird habitat suitability modeling
. Remote Sensing in Ecology and Conservation 6:1, pages 5-19.
Crossref
Crossref
Li Liu, Samsung Lim, Xuesong Shen & Marta Yebra. (2019) A multiscale morphological algorithm for improvements to canopy height models. Computers & Geosciences 130, pages 20-31.
Crossref
Crossref
Annette Dietmaier, Gregory J. McDermid, Mir Mustafizur Rahman, Julia Linke & Ralf Ludwig. (2019) Comparison of LiDAR and Digital Aerial Photogrammetry for Characterizing Canopy Openings in the Boreal Forest of Northern Alberta. Remote Sensing 11:16, pages 1919.
Crossref
Crossref
Astika Bhugeloo, Kabir Peerbhay, Syd Ramdhani & Sershen. (2018) Assessing the Trade-Offs of SPOT7 Imagery for Monitoring Natural Forest Canopy Intactness. Forests 9:12, pages 781.
Crossref
Crossref
François-Marie Martin, Jana Müllerová, Laurent Borgniet, Fanny Dommanget, Vincent Breton & André Evette. (2018) Using Single- and Multi-Date UAV and Satellite Imagery to Accurately Monitor Invasive Knotweed Species. Remote Sensing 10:10, pages 1662.
Crossref
Crossref
Gang Shao, Basil V. IannoneIIIIII & Songlin Fei. (2018) Enhanced forest interior estimations utilizing lidar-assisted 3D forest cover map. Ecological Indicators 93, pages 1236-1243.
Crossref
Crossref
Kamal Humagain, Carlos Portillo-Quintero, Robert D. Cox & James W. CainIIIIII. (2018) Estimating forest canopy cover dynamics in Valles Caldera National Preserve, New Mexico, using LiDAR and Landsat data. Applied Geography 99, pages 120-132.
Crossref
Crossref
Wei Chen, Xingbo Hu, Wen Chen, Yifeng Hong & Minhua Yang. (2018) Airborne LiDAR Remote Sensing for Individual Tree Forest Inventory Using Trunk Detection-Aided Mean Shift Clustering Techniques. Remote Sensing 10:7, pages 1078.
Crossref
Crossref
Joanne C. White, Piotr Tompalski, Nicholas C. Coops & Michael A. Wulder. (2018) Comparison of airborne laser scanning and digital stereo imagery for characterizing forest canopy gaps in coastal temperate rainforests. Remote Sensing of Environment 208, pages 1-14.
Crossref
Crossref
Paul V. Bolstad, Katherine J. Elliott & Chelcy F. Miniat. (2018) Forests, shrubs, and terrain: top‐down and bottom‐up controls on forest structure. Ecosphere 9:4.
Crossref
Crossref
Mariano Garcia, Sassan Saatchi, Antonio Ferraz, Carlos Alberto Silva, Susan Ustin, Alexander Koltunov & Heiko Balzter. (2017) Impact of data model and point density on aboveground forest biomass estimation from airborne LiDAR. Carbon Balance and Management 12:1.
Crossref
Crossref
Juho-Pekka Virtanen, Antero Kukko, Harri Kaartinen, Anttoni Jaakkola, Tuomas Turppa, Hannu Hyyppä & Juha Hyyppä. (2017) Nationwide Point Cloud—The Future Topographic Core Data. ISPRS International Journal of Geo-Information 6:8, pages 243.
Crossref
Crossref
Laura Harris, Mark Warren, Mike Grant & Gary M Llewellyn. (2017) Spectral Characterization of the AisaOWL. IEEE Transactions on Geoscience and Remote Sensing 55:5, pages 2751-2756.
Crossref
Crossref
Alfonso Alonso-Benito, Lara Arroyo, Manuel Arbelo & Pedro Hernández-Leal. (2016) Fusion of WorldView-2 and LiDAR Data to Map Fuel Types in the Canary Islands. Remote Sensing 8:8, pages 669.
Crossref
Crossref
Gherardo Chirici, Ronald E. McRoberts, Lorenzo Fattorini, Matteo Mura & Marco Marchetti. (2016) Comparing echo-based and canopy height model-based metrics for enhancing estimation of forest aboveground biomass in a model-assisted framework. Remote Sensing of Environment 174, pages 1-9.
Crossref
Crossref
Kevin W. Barnes, Kamal Islam & Sasha A. Auer. (2015) Integrating LIDAR‐derived canopy structure into cerulean warbler habitat models. The Journal of Wildlife Management 80:1, pages 101-116.
Crossref
Crossref
Wiebke Neumann, Sebastian Martinuzzi, Anna B Estes, Anna M Pidgeon, Holger Dettki, Göran Ericsson & Volker C Radeloff. (2015) Opportunities for the application of advanced remotely-sensed data in ecological studies of terrestrial animal movement. Movement Ecology 3:1.
Crossref
Crossref
Jian Yang, Trevor Jones, John Caspersen & Yuhong He. (2015) Object-Based Canopy Gap Segmentation and Classification: Quantifying the Pros and Cons of Integrating Optical and LiDAR Data. Remote Sensing 7:12, pages 15917-15932.
Crossref
Crossref
Rebecca A. SpriggsMark C. VanderwelTrevor A. JonesJohn P. CaspersenDavid A. Coomes. (2015) A simple area-based model for predicting airborne LiDAR first returns from stem diameter distributions: an example study in an uneven-aged, mixed temperate forest. Canadian Journal of Forest Research 45:10, pages 1338-1350.
Crossref
Crossref
Stéphanie Bonnet, Rachel Gaulton, François Lehaire & Philippe Lejeune. (2015) Canopy Gap Mapping from Airborne Laser Scanning: An Assessment of the Positional and Geometrical Accuracy. Remote Sensing 7:9, pages 11267-11294.
Crossref
Crossref
Maria O. Hunter, Michael Keller, Douglas Morton, Bruce Cook, Michael Lefsky, Mark Ducey, Scott Saleska, Raimundo Cosme de Oliveira & Juliana Schietti. (2015) Structural Dynamics of Tropical Moist Forest Gaps. PLOS ONE 10:7, pages e0132144.
Crossref
Crossref
Rafi Kent, Jeremy Lindsell, Gaia Laurin, Riccardo Valentini & David Coomes. (2015) Airborne LiDAR Detects Selectively Logged Tropical Forest Even in an Advanced Stage of Recovery. Remote Sensing 7:7, pages 8348-8367.
Crossref
Crossref
Arnon Cooper, Yossi Moshe, Ela Zangi & Yagil Osem. (2014) Are small-scale overstory gaps effective in promoting the development of regenerating oaks (Quercus ithaburensis) in the forest understory?. New Forests 45:6, pages 843-857.
Crossref
Crossref
Silvia Flaherty, Peter W. W. Lurz & Genevieve Patenaude. (2014)
Use of LiDAR in the conservation management of the endangered red squirrel (
Sciurus vulgaris L.
)
. Journal of Applied Remote Sensing 8:1, pages 083592.
Crossref
Crossref
Akira Kato, Hiroaki Ishii, Tsutomu Enoki, Akira Osawa, Tatsuaki Kobayashi, Kiyoshi Umeki, Takeshi Sasaki & Keigo Matsue. (2014) Application of Laser Remote Sensing to Forest Ecological Research. Journal of the Japanese Forest Society 96:3, pages 168-181.
Crossref
Crossref
Benoît St-Onge, Udayalakshmi Vepakomma, Jean-François Sénécal, Daniel Kneeshaw & Frédérik Doyon. 2014. Forestry Applications of Airborne Laser Scanning. Forestry Applications of Airborne Laser Scanning
419
437
.
Bijan Seyednasrollah & Mukesh Kumar. (2013) Effects of tree morphometry on net snow cover radiation on forest floor for varying vegetation densities. Journal of Geophysical Research: Atmospheres 118:22.
Crossref
Crossref
Doreen S. Boyd, Ross A. Hill, Chris Hopkinson & Timothy R. Baker. (2013) Landscape‐scale forest disturbance regimes in southern Peruvian Amazonia. Ecological Applications 23:7, pages 1588-1602.
Crossref
Crossref
Ibrahim Ozdemir & Daniel N.M. Donoghue. (2013) Modelling tree size diversity from airborne laser scanning using canopy height models with image texture measures. Forest Ecology and Management 295, pages 28-37.
Crossref
Crossref
Matteo Garbarino, Enrico Borgogno Mondino, Emanuele Lingua, Thomas A. Nagel, Vojislav Dukić, Zoran Govedar & Renzo Motta. (2012) Gap disturbances and regeneration patterns in a Bosnian old-growth forest: a multispectral remote sensing and ground-based approach. Annals of Forest Science 69:5, pages 617-625.
Crossref
Crossref
Michael Köhl & Thomas Baldauf. 2012. Continuous Cover Forestry. Continuous Cover Forestry
273
291
.
Mikko Vehmas, Petteri Packalén, Matti Maltamo & Kalle Eerikäinen. (2011) Using airborne laser scanning data for detecting canopy gaps and their understory type in mature boreal forest. Annals of Forest Science 68:4, pages 825-835.
Crossref
Crossref