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Canadian Journal of Remote Sensing

Journal canadien de télédétection

Volume 45, 2019 - Issue 1

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Original Articles

Ecologically-Based Metrics for Assessing Structure in Developing Area-Based, Enhanced Forest Inventories from LiDAR

Elias AyreySchool of Forest Resources, University of Maine, 5755 Nutting Hall, Orono, ME04469-5755, USA; Correspondence[email protected]
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Daniel J. HayesSchool of Forest Resources, University of Maine, 5755 Nutting Hall, Orono, ME04469-5755, USA; View further author information

Shawn FraverSchool of Forest Resources, University of Maine, 5755 Nutting Hall, Orono, ME04469-5755, USA; View further author information

John A. Kershaw Jr.Faculty of Forestry and Environmental Management, University of New Brunswick, PO Box 4400, 28 Dineen Drive, Fredericton, NBE3B5A3, CanadaView further author information

Aaron R. WeiskittelSchool of Forest Resources, University of Maine, 5755 Nutting Hall, Orono, ME04469-5755, USA; View further author information

Pages 88-112 | Received 16 Jan 2019, Accepted 24 Apr 2019, Published online: 30 May 2019

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https://doi.org/10.1080/07038992.2019.1612738
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Tristan R.H. Goodbody, Nicholas C. Coops, Cornelius Senf & Rupert Seidl. (2023) Airborne laser scanning to optimize the sampling efficiency of a forest management inventory in South-Eastern Germany. Ecological Indicators 157, pages 111281.
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Can Vatandaşlar, Mehmet Seki & Mustafa Zeybek. (2023) Assessing the potential of mobile laser scanning for stand-level forest inventories in near-natural forests. Forestry: An International Journal of Forest Research 96:4, pages 448-464.
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Tristan R H Goodbody, Nicholas C Coops, Martin Queinnec, Joanne C White, Piotr Tompalski, Andrew T Hudak, David Auty, Ruben Valbuena, Antoine LeBoeuf, Ian Sinclair, Grant McCartney, Jean-Francois Prieur & Murray E Woods. (2023) sgsR : a structurally guided sampling toolbox for LiDAR-based forest inventories . Forestry 96:4, pages 411-424.
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Qingda Chen, Tian Gao, Jiaojun Zhu, Fayun Wu, Xiufen Li, Deliang Lu & Fengyuan Yu. (2022) Individual Tree Segmentation and Tree Height Estimation Using Leaf-Off and Leaf-On UAV-LiDAR Data in Dense Deciduous Forests. Remote Sensing 14:12, pages 2787.
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Elias Ayrey, Daniel J. Hayes, John B. Kilbride, Shawn Fraver, John A. KershawJr.Jr., Bruce D. Cook & Aaron R. Weiskittel. (2021) Synthesizing Disparate LiDAR and Satellite Datasets through Deep Learning to Generate Wall-to-Wall Regional Inventories for the Complex, Mixed-Species Forests of the Eastern United States. Remote Sensing 13:24, pages 5113.
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Ting-Ru YangJohn A. KershawJr.Jr., Elizabeth McGarrigleMark J. DuceyDhirendra Shukla. (2021) Application of allometric systems for compatible area-based LiDAR-assisted estimation in the Province of Nova Scotia. Canadian Journal of Forest Research 51:11, pages 1688-1697.
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Xiao Dai, Mark J Ducey, Haozhou Wang, Ting-Ru Yang, Yung-Han Hsu, Jae Ogilvie & John A KershawJrJr. (2021) Biomass estimates derived from sector subsampling of 360° spherical images. Forestry: An International Journal of Forest Research 94:4, pages 565-575.
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Ting-Ru Yang, John A KershawJrJr & Mark J Ducey. (2021) The development of allometric systems of equations for compatible area-based LiDAR-assisted estimation. Forestry: An International Journal of Forest Research 94:1, pages 36-53.
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Ecologically-Based Metrics for Assessing Structure in Developing Area-Based, Enhanced Forest Inventories from LiDAR

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Ecologically-Based Metrics for Assessing Structure in Developing Area-Based, Enhanced Forest Inventories from LiDAR

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