| 1. | Title | ##plugins.generic.mcfnsReadingTools.titleLabel## | ESTIMATING INDIVIDUAL TREE HEIGHTS AND DBHS FROM VERTICALLY DISPLACED SPHERICAL IMAGE PAIRS |
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| 2. | Creator | ##plugins.generic.mcfnsReadingTools.creators## | Haozhou Wang; University of New Brunswick; Καναδάς |
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| 2. | Creator | ##plugins.generic.mcfnsReadingTools.creators## | Ting-Ru Yang; University of New Brunswick; Καναδάς |
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| 2. | Creator | ##plugins.generic.mcfnsReadingTools.creators## | Joni Waldy; University of New Brunswick; Καναδάς |
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| 2. | Creator | ##plugins.generic.mcfnsReadingTools.creators## | John A Kershaw Jr.; University of New Brunswick; Καναδάς |
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| 3. | Subject | ##plugins.generic.mcfnsReadingTools.keywords## | panorama images; digital camera; forest inventory; remote sensing; horizontal point sampling |
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| 3. | Subject | ##plugins.generic.mcfnsReadingTools.disciplines## | Mensuration; Inventory |
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| 4. | Description | ##plugins.generic.mcfnsReadingTools.abstract## | Individual tree parameters, such as diameter at breast height (DBH) and tree height, are fundamental measurements in forest inventory, and often labour intensive and require significant financial expenditures. Applying digital imaging in forest inventory is an efficient way to decrease the workload. In this study, spherical images taken using a novel commercial 360° camera (Ricoh Theta S) and stereographic geometry were applied to obtain these parameters directly without stitching multiple images from common cameras. This technology was validated in both a sparse urban forest (pairwise comparison) and denser real forest (distributional comparison) in Atlantic Canada. The DBH (r2 > 0.76) and height (Dmax < 0.25, K-S test) showed high correspondence with field measures. The spherical camera represents a low-cost option to terrestrial laser scanning and has potential to produce more accurate forest-level estimates with quicker field and office processing time than current under-canopy remote sensing technologies. |
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| 5. | Publisher | ##plugins.generic.mcfnsReadingTools.publisher## | Contemporary Journal Concept Press |
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| 6. | Contributor | ##plugins.generic.mcfnsReadingTools.contributors## | National Science and Engineering Research Council of Canada; Discovery Grants program; the Province of Newfoundland and Labrador Centre for Forest Science and Innovation Contribution Agreement; and the New Brunswick Innovation Foundation Research Assistan |
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| 7. | Date | ##plugins.generic.mcfnsReadingTools.date## | 2021-03-30 |
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| 8. | Type | ##plugins.generic.mcfnsReadingTools.type## | Text.Serial.Journal; Spherical camera remote sensing |
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| 9. | Format | ##plugins.generic.mcfnsReadingTools.format## | PDF (Αγγλικά); application/pdf |
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| 10. | Identifier | ##plugins.generic.mcfnsReadingTools.identifier## | https://mcfns.com/index.php/Journal/el/article/view/13.1 |
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| 11. | Source | ##plugins.generic.mcfnsReadingTools.source## | Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Τόμ. 13 Αρ. 1: MCFNS March 30, 2021; 1-14 (14) |
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| 11. | Source | ##plugins.generic.mcfnsReadingTools.onlineIssn## | 1946-7664 |
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| 12. | Language | ##plugins.generic.mcfnsReadingTools.language## | en |
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| 13. | Relation | ##plugins.generic.mcfnsReadingTools.suppFiles## | |
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| 14. | Coverage | ##plugins.generic.mcfnsReadingTools.coverageGeo## | |
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| 15. | Rights | ##plugins.generic.mcfnsReadingTools.rights## | Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS) 2021 |
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