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International Journal of Remote Sensing Volume 34, 2013 - Issue 12
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Original Articles

Forest inventory stand height estimates from very high spatial resolution satellite imagery calibrated with lidar plots

Brice Mora Canadian Forest Service (Pacific Forestry Centre), Natural Resources Canada, Victoria, BC, CanadaCorrespondence[email protected]
,
Michael A. Wulder Canadian Forest Service (Pacific Forestry Centre), Natural Resources Canada, Victoria, BC, Canada
,
Geordie W. Hobart Canadian Forest Service (Pacific Forestry Centre), Natural Resources Canada, Victoria, BC, Canada
,
Joanne C. White Canadian Forest Service (Pacific Forestry Centre), Natural Resources Canada, Victoria, BC, Canada
,
Christopher W. Bater Canadian Forest Service (Pacific Forestry Centre), Natural Resources Canada, Victoria, BC, Canada
,
Francois A. Gougeon Canadian Forest Service (Pacific Forestry Centre), Natural Resources Canada, Victoria, BC, Canada
,
Andrés Varhola Department of Forest Resource Management, University of British Columbia, Vancouver, BC, Canada
&
Nicholas C. Coops Department of Forest Resource Management, University of British Columbia, Vancouver, BC, Canada
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Pages 4406-4424 | Received 04 Apr 2011, Accepted 31 Dec 2012, Published online: 25 Mar 2013

Citations (20)

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Read on this site (2)

C. Stone, M. Webster, J. Osborn & I. Iqbal. (2016) Alternatives to LiDAR-derived canopy height models for softwood plantations: a review and example using photogrammetry. Australian Forestry 79:4, pages 271-282.
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Joanne C. White, Nicholas C. Coops, Michael A. Wulder, Mikko Vastaranta, Thomas Hilker & Piotr Tompalski. (2016) Remote Sensing Technologies for Enhancing Forest Inventories: A Review. Canadian Journal of Remote Sensing 42:5, pages 619-641.
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Articles from other publishers (18)

Halli Hemingway & Daniel Opalach. (2024) Integrating Lidar Canopy Height Models with Satellite-Assisted Inventory Methods: A Comparison of Inventory Estimates. Forest Science 70:1, pages 2-13.
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Karen Price, Dave Daust, Kiri Daust & Rachel Holt. (2023) Estimating the amount of British Columbia’s “big-treed” old growth: Navigating messy indicators. Frontiers in Forests and Global Change 5.
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Hao Liu, Fuliang Cao, Guanghui She & Lin Cao. (2022) Extrapolation Assessment for Forest Structural Parameters in Planted Forests of Southern China by UAV-LiDAR Samples and Multispectral Satellite Imagery. Remote Sensing 14:11, pages 2677.
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Can Vatandaşlar & Mustafa Zeybek. (2021) Extraction of forest inventory parameters using handheld mobile laser scanning: A case study from Trabzon, Turkey. Measurement 177, pages 109328.
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Johannes Schumacher, Marius Hauglin, Rasmus Astrup & Johannes Breidenbach. (2020) Mapping forest age using National Forest Inventory, airborne laser scanning, and Sentinel-2 data. Forest Ecosystems 7:1.
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Mohamed Amine EL Maaoui, Nesrine Chehata & Thouraya SAHLI Chahed. (2020) Assessment Of Airborne Photogrammetric Dsm Accuracy For Forest Canopy Modelling: Application In Tunisia. Assessment Of Airborne Photogrammetric Dsm Accuracy For Forest Canopy Modelling: Application In Tunisia.
Chen Shang, Nicholas C. Coops, Michael A. Wulder, Joanne C. White & Txomin Hermosilla. (2020) Update and spatial extension of strategic forest inventories using time series remote sensing and modeling. International Journal of Applied Earth Observation and Geoinformation 84, pages 101956.
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Junghee Lee, Jungho Im, Kyungmin Kim & Lindi Quackenbush. (2018) Machine Learning Approaches for Estimating Forest Stand Height Using Plot-Based Observations and Airborne LiDAR Data. Forests 9:5, pages 268.
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Chloe Brown, Doreen Boyd, Sofie Sjögersten, Daniel Clewley, Stephanie Evers & Paul Aplin. (2018) Tropical Peatland Vegetation Structure and Biomass: Optimal Exploitation of Airborne Laser Scanning. Remote Sensing 10:5, pages 671.
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Douglas K. Bolton, Joanne C. White, Michael A. Wulder, Nicholas C. Coops, Txomin Hermosilla & Xiaoping Yuan. (2018) Updating stand-level forest inventories using airborne laser scanning and Landsat time series data. International Journal of Applied Earth Observation and Geoinformation 66, pages 174-183.
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Mónica Herrero-Huerta, Beatriz Felipe-García, Soledad Belmar-Lizarán, David Hernández-López, Pablo Rodríguez-Gonzálvez & Diego González-Aguilera. (2016) Dense Canopy Height Model from a low-cost photogrammetric platform and LiDAR data. Trees 30:4, pages 1287-1301.
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Shili Meng, Yong Pang, Zhongjun Zhang, Wen Jia & Zengyuan Li. (2016) Mapping Aboveground Biomass using Texture Indices from Aerial Photos in a Temperate Forest of Northeastern China. Remote Sensing 8:3, pages 230.
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Michael A. Wulder, Thomas Hilker, Joanne C. White, Nicholas C. Coops, Jeffrey G. Masek, Dirk Pflugmacher & Yves Crevier. (2015) Virtual constellations for global terrestrial monitoring. Remote Sensing of Environment 170, pages 62-76.
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Phil Wilkes, Simon Jones, Lola Suarez, Andrew Mellor, William Woodgate, Mariela Soto-Berelov, Andrew Haywood & Andrew Skidmore. (2015) Mapping Forest Canopy Height Across Large Areas by Upscaling ALS Estimates with Freely Available Satellite Data. Remote Sensing 7:9, pages 12563-12587.
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A. A. Harpold, J. A. Marshall, S. W. Lyon, T. B. Barnhart, B. A. Fisher, M. Donovan, K. M. Brubaker, C. J. Crosby, N. F. Glenn, C. L. Glennie, P. B. Kirchner, N. Lam, K. D. Mankoff, J. L. McCreight, N. P. Molotch, K. N. Musselman, J. Pelletier, T. Russo, H. Sangireddy, Y. Sjöberg, T. Swetnam & N. West. (2015) Laser vision: lidar as a transformative tool to advance critical zone science. Hydrology and Earth System Sciences 19:6, pages 2881-2897.
Crossref
Gerald J. Niemi, Lucinda B. Johnson & Robert W. Howe. 2015. Environmental Indicators. Environmental Indicators 265 276 .
Mikko Vastaranta, Mikko Niemi, Mika Karjalainen, Jussi Peuhkurinen, Ville Kankare, Juha Hyyppä & Markus Holopainen. (2014) Prediction of Forest Stand Attributes Using TerraSAR-X Stereo Imagery. Remote Sensing 6:4, pages 3227-3246.
Crossref
Jonathan Lisein, Marc Pierrot-Deseilligny, Stéphanie Bonnet & Philippe Lejeune. (2013) A Photogrammetric Workflow for the Creation of a Forest Canopy Height Model from Small Unmanned Aerial System Imagery. Forests 4:4, pages 922-944.
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