NOVEL APPROACH FOR FOREST ALLOMETRIC EQUATION MODELLING WITH RANSAC SHAPE DETECTION USING TERRESTRIAL LASER SCANNER
Forest biomass quantification is highly crucial for the maintenance of global carbon cycle. Hence, the accurate estimation of tree parameters is of utmost requirement nowadays. The hypothesis of this research is to formulate a volumetric equation which will be focussed on the structure of the tree a...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2022-10-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLVIII-4-W4-2022/133/2022/isprs-archives-XLVIII-4-W4-2022-133-2022.pdf |
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| author | A. Singh A. Singh S. K. P. Kushwaha S. Nandy H. Padalia |
| author_facet | A. Singh A. Singh S. K. P. Kushwaha S. Nandy H. Padalia |
| author_sort | A. Singh |
| collection | DOAJ |
| description | Forest biomass quantification is highly crucial for the maintenance of global carbon cycle. Hence, the accurate estimation of tree parameters is of utmost requirement nowadays. The hypothesis of this research is to formulate a volumetric equation which will be focussed on the structure of the tree and not the species. To serve this purpose, 13 plots were scanned in the Barkot forest range of Uttarakhand, India, and the plots were scanned using Terrestrial Laser Scanner (TLS). The tree attribute such as radius of the stem and tree height were estimated using Random Sample Consensus (RANSAC) algorithm and line primitive vector, respectively. The correlation was established using multiple linear regression using the TLS derived tree parameters and field estimated tree parameters. The R<sup>2</sup> obtained for field estimated biomass is 0.91 with radius and 0.73 with the tree height. The radius of the stem and tree height were used for the calculation of volume of all the trees and the R<sup>2</sup> value obtained for field estimated volume and TLS derived volume is 0.95. Then the stem volume of the trees were calculated based on the new volume equation. The statistical analysis was done, and ANOVA test was performed indicating high F value (25.4) which shows that the regression model is significant. The predicted biomass correlation coefficient (R<sup>2</sup> = 0.97) was obtained. It represents the significance of the model for the estimation of volume and biomass is high. The equation can be implemented in any forest type irrespective of the forest structure. |
| first_indexed | 2024-04-12T13:35:07Z |
| format | Article |
| id | doaj.art-d333f5f51a06480f8c98e081fb6315a0 |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-04-12T13:35:07Z |
| publishDate | 2022-10-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-d333f5f51a06480f8c98e081fb6315a02022-12-22T03:31:04ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342022-10-01XLVIII-4-W4-202213313810.5194/isprs-archives-XLVIII-4-W4-2022-133-2022NOVEL APPROACH FOR FOREST ALLOMETRIC EQUATION MODELLING WITH RANSAC SHAPE DETECTION USING TERRESTRIAL LASER SCANNERA. Singh0A. Singh1S. K. P. Kushwaha2S. Nandy3H. Padalia4Forestry and Ecology Department, Indian Institute of Remote Sensing (IIRS), Dehradun, 248001, Uttarakhand, IndiaFaculty of Forestry and Wood Sciences, Czech University of Life Sciences, Prague – 16500, Czech RepublicGeomatics Group, Department of Civil Engineering, Indian Institute of Technology, Roorkee - 247667, Uttarakhand, IndiaForestry and Ecology Department, Indian Institute of Remote Sensing (IIRS), Dehradun, 248001, Uttarakhand, IndiaForestry and Ecology Department, Indian Institute of Remote Sensing (IIRS), Dehradun, 248001, Uttarakhand, IndiaForest biomass quantification is highly crucial for the maintenance of global carbon cycle. Hence, the accurate estimation of tree parameters is of utmost requirement nowadays. The hypothesis of this research is to formulate a volumetric equation which will be focussed on the structure of the tree and not the species. To serve this purpose, 13 plots were scanned in the Barkot forest range of Uttarakhand, India, and the plots were scanned using Terrestrial Laser Scanner (TLS). The tree attribute such as radius of the stem and tree height were estimated using Random Sample Consensus (RANSAC) algorithm and line primitive vector, respectively. The correlation was established using multiple linear regression using the TLS derived tree parameters and field estimated tree parameters. The R<sup>2</sup> obtained for field estimated biomass is 0.91 with radius and 0.73 with the tree height. The radius of the stem and tree height were used for the calculation of volume of all the trees and the R<sup>2</sup> value obtained for field estimated volume and TLS derived volume is 0.95. Then the stem volume of the trees were calculated based on the new volume equation. The statistical analysis was done, and ANOVA test was performed indicating high F value (25.4) which shows that the regression model is significant. The predicted biomass correlation coefficient (R<sup>2</sup> = 0.97) was obtained. It represents the significance of the model for the estimation of volume and biomass is high. The equation can be implemented in any forest type irrespective of the forest structure.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLVIII-4-W4-2022/133/2022/isprs-archives-XLVIII-4-W4-2022-133-2022.pdf |
| spellingShingle | A. Singh A. Singh S. K. P. Kushwaha S. Nandy H. Padalia NOVEL APPROACH FOR FOREST ALLOMETRIC EQUATION MODELLING WITH RANSAC SHAPE DETECTION USING TERRESTRIAL LASER SCANNER The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | NOVEL APPROACH FOR FOREST ALLOMETRIC EQUATION MODELLING WITH RANSAC SHAPE DETECTION USING TERRESTRIAL LASER SCANNER |
| title_full | NOVEL APPROACH FOR FOREST ALLOMETRIC EQUATION MODELLING WITH RANSAC SHAPE DETECTION USING TERRESTRIAL LASER SCANNER |
| title_fullStr | NOVEL APPROACH FOR FOREST ALLOMETRIC EQUATION MODELLING WITH RANSAC SHAPE DETECTION USING TERRESTRIAL LASER SCANNER |
| title_full_unstemmed | NOVEL APPROACH FOR FOREST ALLOMETRIC EQUATION MODELLING WITH RANSAC SHAPE DETECTION USING TERRESTRIAL LASER SCANNER |
| title_short | NOVEL APPROACH FOR FOREST ALLOMETRIC EQUATION MODELLING WITH RANSAC SHAPE DETECTION USING TERRESTRIAL LASER SCANNER |
| title_sort | novel approach for forest allometric equation modelling with ransac shape detection using terrestrial laser scanner |
| url | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLVIII-4-W4-2022/133/2022/isprs-archives-XLVIII-4-W4-2022-133-2022.pdf |
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