Suchergebnisse - "ITD algorithms"

Evaluating the Potential of Digital Aerial Photogrammetry (DAP) versus Airborne Laser Scanning (ALS) for Individual Tree Detection and Segmentation in Subtropical Chir Pine (Pinus Roxburghii) Forests.

Autoren: Saeed, Tahir Ullah, Sami Hussain, Ejaz et al.

Quelle: Journal of Sustainable Forestry. Nov2025, p1-33. 33p. 12 Illustrations.

Schlagwörter: *AERIAL photogrammetry, *AIRBORNE lasers, *POINT cloud, *TREE height, *FOREST ecology

Correcting the Results of CHM-Based Individual Tree Detection Algorithms to Improve Their Accuracy and Reliability.

Autoren: Lisiewicz, Maciej Kamińska, Agnieszka Kraszewski, Bartłomiej et al.

Quelle: Remote Sensing; Apr2022, Vol. 14 Issue 8, pN.PAG-N.PAG, 22p

Schlagwörter: MIXED forests, TREE height, COMMUNITY forests, TREES, ALGORITHMS

Geografische Kategorien: EUROPE

Using LiDAR for landscape-scale mapping of potential habitat for the critically endangered Leadbeater's Possum

Autoren: Jiang, Ruizhu

Index Begriffe: Leadbeater’s Possum, hollow-bearing trees, LiDAR, individual tree delineation, midstorey connectivity, habitat analysis, species distribution models, habitat suitability index, landscape connectivity, conservation management, hollow-dependent animals, machine learning, random forest, PhD thesis

URL: http://hdl.handle.net/11343/234019

A Comparison of ALS and Dense Photogrammetric Point Clouds for Individual Tree Detection in Radiata Pine Plantations.

Autoren: Iqbal, Irfan A. Osborn, Jon Stone, Christine et al.

Quelle: Remote Sensing; Sep2021, Vol. 13 Issue 17, p3536, 1p

Schlagwörter: POINT cloud, DIGITAL photogrammetry, AIRBORNE lasers, FOREST surveys, AERIAL photogrammetry, PINUS radiata

Bilevel Optimization for Machine Learning: Algorithm Design and Convergence Analysis

Autoren: Ji, Kaiyi

Index Begriffe: Computer Science - Machine Learning, Mathematics - Optimization and Control, Statistics - Machine Learning, text

URL: http://arxiv.org/abs/2108.00330

Accuracy of a LiDAR-Based Individual Tree Detection and Attribute Measurement Algorithm Developed to Inform Forest Products Supply Chain and Resource Management.

Autoren: Sparks, Aaron M. Smith, Alistair M.S.

Quelle: Forests (19994907); Jan2022, Vol. 13 Issue 1, p3, 1p

Schlagwörter: SUPPLY chain management, FOREST products, INVENTORY control, AIRBORNE lasers, CONIFEROUS forests, FOREST density

Parameterization of the Individual Tree Detection Method Using Large Dataset from Ground Sample Plots and Airborne Laser Scanning for Stands Inventory in Coniferous Forest

Autoren: Łukasz Kolendo Marcin Kozniewski Marek Ksepko et al.

Quelle: Remote Sensing, Vol 13, Iss 2753, p 2753 (2021)

Schlagwörter: precise forestry, precise forest management, LiDAR, ALS data, tree segmentation, tree tops, Science

Relation: https://www.mdpi.com/2072-4292/13/14/2753; https://doaj.org/toc/2072-4292; https://doaj.org/article/ccaee3fd9f2d4c52b0d40ee87e71cce0

Verfügbarkeit: https://doi.org/10.3390/rs13142753
https://doaj.org/article/ccaee3fd9f2d4c52b0d40ee87e71cce0

A Comparison of ALS and Dense Photogrammetric Point Clouds for Individual Tree Detection in Radiata Pine Plantations

Autoren: Irfan A. Iqbal Jon Osborn Christine Stone et al.

Quelle: Remote Sensing, Vol 13, Iss 3536, p 3536 (2021)

Schlagwörter: forest inventory, Pinus radiata plantation, individual tree detection, airborne laser scanning, photogrammetry, digital aerial photography, Science

Relation: https://www.mdpi.com/2072-4292/13/17/3536; https://doaj.org/toc/2072-4292; https://doaj.org/article/deccc1aa3cd24b069a1bd745e492b61c

Verfügbarkeit: https://doi.org/10.3390/rs13173536
https://doaj.org/article/deccc1aa3cd24b069a1bd745e492b61c

Accuracy of a LiDAR-Based Individual Tree Detection and Attribute Measurement Algorithm Developed to Inform Forest Products Supply Chain and Resource Management

Autoren: Aaron M. Sparks Alistair M.S. Smith

Quelle: Forests, Vol 13, Iss 3, p 3 (2021)

Schlagwörter: airborne laser scanning, individual tree detection, individual tree inventory, LiDAR, Plant ecology, QK900-989

Relation: https://www.mdpi.com/1999-4907/13/1/3; https://doaj.org/toc/1999-4907; https://doaj.org/article/6c214530156b405cbc36f615587b8089

Verfügbarkeit: https://doi.org/10.3390/f13010003
https://doaj.org/article/6c214530156b405cbc36f615587b8089

Parameterization of the Individual Tree Detection Method Using Large Dataset from Ground Sample Plots and Airborne Laser Scanning for Stands Inventory in Coniferous Forest.

Autoren: Kolendo, Łukasz Kozniewski, Marcin Ksepko, Marek et al.

Quelle: Remote Sensing; Jul2021, Vol. 13 Issue 14, p2753-2753, 1p

Schlagwörter: AIRBORNE lasers, FOREST management, CONIFEROUS forests, FOREST surveys, STANDARD deviations, PARAMETERIZATION

Geografische Kategorien: POLAND

Quantifying the Accuracy of UAS-Lidar Individual Tree Detection Methods Across Height and Diameter at Breast Height Sizes in Complex Temperate Forests.

Autoren: Fraser, Benjamin T. Congalton, Russell G. Ducey, Mark J.

Quelle: Remote Sensing; Mar2025, Vol. 17 Issue 6, p1010, 28p

Schlagwörter: FORESTS & forestry, OPTICAL radar, LIDAR, FOREST surveys, FOREST management

Construction of Tree-based Forest Management Digital Twin Database with Airborne Laser Surveying.

Autoren: Seong Hwan Jo Sang In Park Sung Ryong Yang et al.

Quelle: Sensors & Materials; 2025, Vol. 37 Issue 2, Part 3, p695-715, 21p

Automated Tree Detection Using Image Processing and Multisource Data.

Autoren: Dziczkowski, Grzegorz Probierz, Barbara Juszczuk, Przemysław et al.

Quelle: Applied Sciences (2076-3417); Jan2025, Vol. 15 Issue 2, p667, 19p

Schlagwörter: SUSTAINABLE urban development, URBAN forestry, REMOTE-sensing images, IMAGE processing, REMOTE sensing

Enhancing precision in coastal dunes vegetation mapping: ultra-high resolution hierarchical classification at the individual plant level.

Autoren: Belcore, E. Latella, M. Piras, M. et al.

Quelle: International Journal of Remote Sensing; Jul2024, Vol. 45 Issue 13, p4527-4552, 26p

Schlagwörter: PLANT classification, VEGETATION mapping, MACHINE learning, PLANT size, COASTAL mapping

Comparison of Classical Methods and Mask R-CNN for Automatic Tree Detection and Mapping Using UAV Imagery.

Autoren: Yu, Kunyong Hao, Zhenbang Post, Christopher J. et al.

Quelle: Remote Sensing; Jan2022, Vol. 14 Issue 2, p295-295, 1p

Schlagwörter: DEEP learning, CONVOLUTIONAL neural networks, TREE farms, CROWNS (Botany), FOREST management, REMOTE sensing

Risk of Tree Fall on High-Traffic Roads: A Case Study of the S6 in Poland.

Autoren: Kogut, Tomasz Wancel, Dagmara Stępień, Grzegorz et al.

Quelle: Applied Sciences (2076-3417); Jun2024, Vol. 14 Issue 11, p4479, 16p

Schlagwörter: AIRBORNE lasers, WIND speed, WATER management, CROWNS (Botany), RADAR in aeronautics

Geografische Kategorien: POLAND

Estimation of Northern Hardwood Forest Inventory Attributes Using UAV Laser Scanning (ULS): Transferability of Laser Scanning Methods and Comparison of Automated Approaches at the Tree- and Stand-Level.

Autoren: Vandendaele, Bastien Fournier, Richard A. Vepakomma, Udayalakshmi et al.

Quelle: Remote Sensing; Jul2021, Vol. 13 Issue 14, p2796-2796, 1p

Schlagwörter: HARDWOOD forests, FOREST surveys, HARDWOODS, SCANNING systems, LASERS, AIRBORNE lasers, HUMAN facial recognition software

Advancements in Individual Tree Detection and Forest Structural Attributes Estimation From LiDAR Data: MSITD and SAFER Approaches.

Autoren: Fallah, Mohammad Aghighi, Hossein Matkan, Aliakbar

Quelle: Earth & Space Science; Mar2024, Vol. 11 Issue 3, p1-18, 18p

Schlagwörter: LIDAR, MACHINE learning, TREES, REGRESSION trees

Coupling UAV and satellite data for tree species identification to map the distribution of Caspian poplar.

Autoren: Miraki, Mojdeh Sohrabi, Hormoz Fatehi, Parviz et al.

Quelle: Landscape Ecology; Feb2024, Vol. 39 Issue 2, p1-18, 18p

Identifying Old-Growth Forests in Complex Landscapes: A New LiDAR-Based Estimation Framework and Conservation Implications.

Autoren: Trouvé, Raphaël Jiang, Ruizhu Baker, Patrick J. et al.

Quelle: Remote Sensing; Jan2024, Vol. 16 Issue 1, p147, 17p

Schlagwörter: TEMPERATE rain forests, FOREST management, MIXED forests, GAUSSIAN mixture models, TEMPERATE forests, LANDSCAPE assessment, FOREST conservation

Geografische Kategorien: AUSTRALIA