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RESEARCH ARTICLES

Small area estimations of proportion of forest and timber volume combining Lidar data and stereo aerial images with terrestrial data

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Pages 373-385 | Received 20 Feb 2012, Accepted 26 Nov 2012, Published online: 10 Jan 2013

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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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Garret T. Dettmann, Philip J. Radtke, John W. Coulston, P. Corey Green, Barry T. Wilson & Gretchen G. Moisen. (2022) Review and Synthesis of Estimation Strategies to Meet Small Area Needs in Forest Inventory. Frontiers in Forests and Global Change 5.
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Ulas Yunus Ozkan & Tufan Demirel. (2021) The influence of window size on remote sensing-based prediction of forest structural variables. Ecological Processes 10:1.
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Richard W. Guldin. (2021) A Systematic Review of Small Domain Estimation Research in Forestry During the Twenty-First Century From Outside the United States. Frontiers in Forests and Global Change 4.
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Leo Gallus Bont, Andreas Hill, Lars T. Waser, Anton Bürgi, Christian Ginzler & Clemens Blattert. (2020) Airborne-laser-scanning-derived auxiliary information discriminating between broadleaf and conifer trees improves the accuracy of models for predicting timber volume in mixed and heterogeneously structured forests. Forest Ecology and Management 459, pages 117856.
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Bo Xie, Chunxiang Cao, Min Xu, Barjeece Bashir, Ramesh P. Singh, Zhibin Huang & Xiaojuan Lin. (2020) Regional Forest Volume Estimation by Expanding LiDAR Samples Using Multi-Sensor Satellite Data. Remote Sensing 12:3, pages 360.
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Elias Ganivet & Mark Bloomberg. (2019) Towards rapid assessments of tree species diversity and structure in fragmented tropical forests: A review of perspectives offered by remotely-sensed and field-based data. Forest Ecology and Management 432, pages 40-53.
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Urs-Beat Brändli & Martin Hägeli. 2019. Swiss National Forest Inventory – Methods and Models of the Fourth Assessment. Swiss National Forest Inventory – Methods and Models of the Fourth Assessment 3 35 .
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Andreas Hill, Daniel Mandallaz & Joachim Langshausen. (2018) A Double-Sampling Extension of the German National Forest Inventory for Design-Based Small Area Estimation on Forest District Levels. Remote Sensing 10:7, pages 1052.
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Ronald E. McRoberts, Qi Chen, Brian F. Walters & Daniel J. Kaisershot. (2018) The effects of global positioning system receiver accuracy on airborne laser scanning-assisted estimates of aboveground biomass. Remote Sensing of Environment 207, pages 42-49.
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Ivan Balenović, Anita Simic Milas & Hrvoje Marjanović. (2017) A Comparison of Stand-Level Volume Estimates from Image-Based Canopy Height Models of Different Spatial Resolutions. Remote Sensing 9:3, pages 205.
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Johannes Breidenbach, Ronald E. McRoberts & Rasmus Astrup. (2016) Empirical coverage of model-based variance estimators for remote sensing assisted estimation of stand-level timber volume. Remote Sensing of Environment 173, pages 274-281.
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Markus Immitzer, Christoph Stepper, Sebastian Böck, Christoph Straub & Clement Atzberger. (2016) Use of WorldView-2 stereo imagery and National Forest Inventory data for wall-to-wall mapping of growing stock. Forest Ecology and Management 359, pages 232-246.
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Adrian Lanz, Meinrad Abegg, Urs-Beat Braendli, Paolo Camin, Fabrizio Cioldi, Christian Ginzler & Christoph Fischer. 2016. National Forest Inventories. National Forest Inventories 783 805 .
Bo Wu, Shengjun Tang, Qing Zhu, Kwan-yuen Tong, Han Hu & Guoyuan Li. (2015) Geometric integration of high-resolution satellite imagery and airborne LiDAR data for improved geopositioning accuracy in metropolitan areas. ISPRS Journal of Photogrammetry and Remote Sensing 109, pages 139-151.
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S. Magnussen. (2015) Arguments for a model-dependent inference?. Forestry 88:3, pages 317-325.
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Johannes Rahlf, Johannes Breidenbach, Svein Solberg, Erik Næsset & Rasmus Astrup. (2014) Comparison of four types of 3D data for timber volume estimation. Remote Sensing of Environment 155, pages 325-333.
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F.E. Fassnacht, F. Hartig, H. Latifi, C. Berger, J. Hernández, P. Corvalán & B. Koch. (2014) Importance of sample size, data type and prediction method for remote sensing-based estimations of aboveground forest biomass. Remote Sensing of Environment 154, pages 102-114.
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Andreas Hill, Jochen Breschan & Daniel Mandallaz. (2014) Accuracy Assessment of Timber Volume Maps Using Forest Inventory Data and LiDAR Canopy Height Models. Forests 5:9, pages 2253-2275.
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Steen MagnussenDaniel MandallazJohannes BreidenbachAdrian LanzChristian Ginzler. (2014) National forest inventories in the service of small area estimation of stem volume. Canadian Journal of Forest Research 44:9, pages 1079-1090.
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Ronald E. McRoberts, Hans-Erik Andersen & Erik Næsset. 2014. Forestry Applications of Airborne Laser Scanning. Forestry Applications of Airborne Laser Scanning 269 292 .
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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