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Original Articles

Alternatives to LiDAR-derived canopy height models for softwood plantations: a review and example using photogrammetry

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Muhamad Farid Ramli & Khairul Nizam Tahar. (2020) Homogeneous tree height derivation from tree crown delineation using Seeded Region Growing (SRG) segmentation. Geo-spatial Information Science 23:3, pages 195-208.
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Kent Olive, Tom Lewis, Mohammad Reza Ghaffariyan & Sanjeev Kumar Srivastava. (2020) Comparing canopy height estimates from satellite-based photogrammetry, airborne laser scanning and field measurements across Australian production and conservation eucalypt forests. Journal of Forest Research 25:2, pages 108-112.
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Bambang H. Trisasongko & David Paull. (2020) A review of remote sensing applications in tropical forestry with a particular emphasis in the plantation sector. Geocarto International 35:3, pages 317-339.
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M. Dell, C. Stone, J. Osborn, M. Glen, C. McCoull, A. Rimbawanto, B. Tjahyono & C. Mohammed. (2019) Detection of necrotic foliage in a young Eucalyptus pellita plantation using unmanned aerial vehicle RGB photography – a demonstration of concept. Australian Forestry 82:2, pages 79-88.
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I. A. Iqbal, J. Osborn, C. Stone, A. Lucieer, M. Dell & C. McCoull. (2018) Evaluating the robustness of point clouds from small format aerial photography over a Pinus radiata plantation. Australian Forestry 81:3, pages 162-176.
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G. Caccamo, I. A. Iqbal, J. Osborn, H. Bi, K. Arkley, G. Melville, D. Aurik & C. Stone. (2018) Comparing yield estimates derived from LiDAR and aerial photogrammetric point-cloud data with cut-to-length harvester data in a Pinus radiata plantation in Tasmania. Australian Forestry 81:3, pages 131-141.
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Andy D. Beaton, Robert A. Metcalfe, James M. Buttle & Steven E. Franklin. Using field-based, photogrammetric point cloud, orthophoto and LiDAR-derived metrics to assess forest structure–snowpack relationships in the Great Lakes–St. Lawrence Forest region. Canadian Water Resources Journal / Revue canadienne des ressources hydriques 0:0, pages 1-17.
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Articles from other publishers (18)

Torcuato Pulido Mantas, Camilla Roveta, Barbara Calcinai, Cristina Gioia di Camillo, Chiara Gambardella, Chiara Gregorin, Martina Coppari, Teo Marrocco, Stefania Puce, Agnese Riccardi & Carlo Cerrano. (2023) Photogrammetry, from the Land to the Sea and Beyond: A Unifying Approach to Study Terrestrial and Marine Environments. Journal of Marine Science and Engineering 11:4, pages 759.
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Sanjeev Kumar Srivastava, Kah Phooi Seng, Li Minn Ang, Anibal ‘Nahuel’ A. Pachas & Tom Lewis. (2022) Drone-Based Environmental Monitoring and Image Processing Approaches for Resource Estimates of Private Native Forest. Sensors 22:20, pages 7872.
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Raúl Miranda-Gómez, Héctor V. Cabadas-Báez, Xanat Antonio-Némiga & Norma Dávila-Hernández. (2022) Geospatial integration in mapping pre-Hispanic settlements within Aztec empire limits. Virtual Archaeology Review 13:27, pages 49-65.
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Benjamin Wagner & Monika Egerer. (2022) Application of UAV remote sensing and machine learning to model and map land use in urban gardens. Journal of Urban Ecology 8:1.
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Svetlana Illarionova, Dmitrii Shadrin, Vladimir Ignatiev, Sergey Shayakhmetov, Alexey Trekin & Ivan Oseledets. (2022) Estimation of the Canopy Height Model From Multispectral Satellite Imagery With Convolutional Neural Networks. IEEE Access 10, pages 34116-34132.
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Sercan Gülci, Abdullah Emin Akay, Burak Aricak & Temel Sariyildiz. 2022. Concepts and Applications of Remote Sensing in Forestry. Concepts and Applications of Remote Sensing in Forestry 395 409 .
Tian Yin, Jian Zeng, Xiaoli Zhang & Xuemei Zhou. (2021) Individual Tree Parameters Estimation for Chinese Fir ( Cunninghamia lanceolate (Lamb.) Hook) Plantations of South China Using UAV Oblique Photography: Possibilities and Challenges . IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 14, pages 827-842.
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Juan Picos, Guillermo Bastos, Daniel Míguez, Laura Alonso & Julia Armesto. (2020) Individual Tree Detection in a Eucalyptus Plantation Using Unmanned Aerial Vehicle (UAV)-LiDAR. Remote Sensing 12:5, pages 885.
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Monika H. Egerer, Benjamin Wagner, Brenda B. Lin, Dave Kendal & Kai Zhu. (2020) New methods of spatial analysis in urban gardens inform future vegetation surveying. Landscape Ecology 35:3, pages 761-778.
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Deepak Gautam & Vinay Pagay. (2020) A Review of Current and Potential Applications of Remote Sensing to Study the Water Status of Horticultural Crops. Agronomy 10:1, pages 140.
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Piotr Tompalski, Joanne C. White, Nicholas C. Coops & Michael A. Wulder. (2019) Quantifying the contribution of spectral metrics derived from digital aerial photogrammetry to area-based models of forest inventory attributes. Remote Sensing of Environment 234, pages 111434.
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Shiming Li, Qingwang Liu, Ning Wang, Zengyuan Li, Erxue Chen, Yong Pang, Lin Si & Xin Tian. (2019) Forest Stand Height Estimation Using Ziyuan-3 Tri-Stereo Imagery and Lidar. Forest Stand Height Estimation Using Ziyuan-3 Tri-Stereo Imagery and Lidar.
Tristan R. H. Goodbody, Nicholas C. Coops & Joanne C. White. (2019) Digital Aerial Photogrammetry for Updating Area-Based Forest Inventories: A Review of Opportunities, Challenges, and Future Directions. Current Forestry Reports 5:2, pages 55-75.
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Irfan A. Iqbal, Robert A. Musk, Jon Osborn, Christine Stone & Arko Lucieer. (2019) A comparison of area-based forest attributes derived from airborne laser scanner, small-format and medium-format digital aerial photography. International Journal of Applied Earth Observation and Geoinformation 76, pages 231-241.
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Jiayuan Lin, Meimei Wang, Mingguo Ma & Yi Lin. (2018) Aboveground Tree Biomass Estimation of Sparse Subalpine Coniferous Forest with UAV Oblique Photography. Remote Sensing 10:11, pages 1849.
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Rogier Floors, Peter Enevoldsen, Neil Davis, Johan Arnqvist & Ebba Dellwik. (2018) From lidar scans to roughness maps for wind resource modelling in forested areas. Wind Energy Science 3:1, pages 353-370.
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Chengyan Gu, Jan G.P.W. Clevers, Xiao Liu, Xin Tian, Zhouyuan Li & Zengyuan Li. (2018) Predicting forest height using the GOST, Landsat 7 ETM+, and airborne LiDAR for sloping terrains in the Greater Khingan Mountains of China. ISPRS Journal of Photogrammetry and Remote Sensing 137, pages 97-111.
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Christine Stone & Caroline Mohammed. (2017) Application of Remote Sensing Technologies for Assessing Planted Forests Damaged by Insect Pests and Fungal Pathogens: a Review. Current Forestry Reports 3:2, pages 75-92.
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