Estimating the quantitative characteristics of seedlings using terrestrial close-range photogrammetry

Document Type : Scientific article

Authors

1 Ph.D Student of Forestry, Department of Forestry, Faculty of Agriculture and Natural Resources, ‎Lorestan University, Khorramabad, I. R. Iran‎

2 Assistant Prof, Department of Forestry, Faculty of Agriculture and Natural Resources, Lorestan ‎University, Khorramabad, I. R. Iran‎

3 Associate Prof, Department of Forestry, Faculty of Agriculture and Natural Resources, Lorestan ‎University, Khorramabad, I. R. Iran‎

Abstract

This study aims to estimate the different two- and three-dimensional characteristics seedlings using terrestrial close-range photogrammetry. Three-dimensional models were prepared using images taken by a smartphone camera and the process of “Structure from Motion with Multi View Stereo photogrammetry” (SfM-MVS). To evaluate the accuracy of the obtained results, characteristics such as diameter at the middle height of stem, height, crown height, crown diameter, stem volume, crown volume and total volume of each seedling were measured. According to the RMSE% and the calculated Bias% (less than 10%), the images and model used to estimate the two-dimensional characteristics of seedlings, had factual accuracy. Also, among the three-dimensional characteristics of the seedlings, the highest and lowest accuracy related to stem volume with R2 = 0.89, RMSE% = 23.08% and crown volume with R2= 0.67, RMSE% = 31.92% respectively. Overall, it can be concluded that the images taken by the smartphone camera and the SfM-MVS method used in this study have remarkable accuracy to estimate characteristics of seedling such as diameter at the middle height of stem, height, crown height, crown diameter and stem volume, However, it is not accurate enough to estimate the crown volume characteristic‎.

Keywords

References

Azizi, Z.; Hosseini, A.; Iranmanesh, Y., Estimating Biomass of Single Oak Trees Using Terrestrial Photogrammetry. Journal of Environmental Science and Technology 2017, 19 (4), 81-93.
Barazzetti, L.; Scaioni, M.; Remondino, F., Orientation and 3D modelling from markerless terrestrial images: combining accuracy with automation. The Photogrammetric Record 2010, 25 (132), 356-381.
Forsman, M.; Börlin, N.; Holmgren, J., Estimation of tree stem attributes using terrestrial photogrammetry with a camera rig. Forests 2016, 7 (3), 61.
Getzin, S.; Nuske, R. S.; Wiegand, K., Using unmanned aerial vehicles (UAV) to quantify spatial gap patterns in forests. Remote Sensing 2014, 6 (8), 6988-7004.
Jaakkola, A.; Hyyppä, J.; Kukko, A.; Yu, X.; Kaartinen, H.; Lehtomäki, M.; Lin, Y., A low-cost multi-sensoral mobile mapping system and its feasibility for tree measurements. ISPRS journal of Photogrammetry and Remote Sensing 2010, 65 (6), 514-522.
Lamont, I., Google Drive & Docs in 30 Minutes: The unofficial guide to the new Google Drive. Docs, Sheets & Slides/Ian Lamont 2015.
Liang, X.; Jaakkola, A.; Wang, Y.; Hyyppä, J.; Honkavaara, E.; Liu, J.; Kaartinen, H., The use of a hand-held camera for individual tree 3D mapping in forest sample plots. Remote Sensing 2014, 6 (7), 6587-6603.
Liang, X.; Kankare, V.; Hyyppä, J.; Wang, Y.; Kukko, A.; Haggrén, H.; Yu, X.; Kaartinen, H.; Jaakkola, A.; Guan, F., Terrestrial laser scanning in forest inventories. ISPRS Journal of Photogrammetry and Remote Sensing 2016, 115, 63-77.
Liang, X.; Wang, Y.; Jaakkola, A.; Kukko, A.; Kaartinen, H.; Hyyppä, J.; Honkavaara, E.; Liu, J., Forest data collection using terrestrial image-based point clouds from a handheld camera compared to terrestrial and personal laser scanning. IEEE transactions on geoscience and remote sensing 2015, 53 (9), 5117-5132.
Luhmann, T.; Robson, S.; Kyle, S.; Harley, I., Close range photogrammetry: principles, techniques and applications. Whittles publishing Dunbeath: 2006; Vol. 3.
Marzulli, M. I.; Raumonen, P.; Greco, R.; Persia, M.; Tartarino, P., Estimating tree stem diameters and volume from smartphone photogrammetric point clouds. Forestry: An International Journal of Forest Research 2020, 93 (3), 411-429.
Mikita, T.; Janata, P.; Surový, P., Forest stand inventory based on combined aerial and terrestrial close-range photogrammetry. Forests 2016, 7 (8), 165.
Miller, J.; Morgenroth, J.; Gomez, C., 3D modelling of individual trees using a handheld camera: Accuracy of height, diameter and volume estimates. Urban Forestry & Urban Greening 2015, 14 (4), 932-940.
Mokroš, M.; Liang, X.; Surový, P.; Valent, P.; Čerňava, J.; Chudý, F.; Tunák, D.; Saloň, Š.; Merganič, J., Evaluation of close-range photogrammetry image collection methods for estimating tree diameters. ISPRS International Journal of Geo-Information 2018, 7 (3), 93.
Moradi, G.; Pir Bavaghar, M.; Shakeri, Z.; Fatehi, P., Leaf area index estimation in the northern Zagros forests using remote sensing (Case study: a part of Baneh forests). Journal of Forest Research and Development 2020, 6 (4), 679-693.
Morgenroth, J.; Gómez, C., Assessment of tree structure using a 3D image analysis technique—A proof of concept. Urban Forestry & Urban Greening 2014, 13 (1), 198-203.
Piermattei, L.; Karel, W.; Wang, D.; Wieser, M.; Mokroš, M.; Surový, P.; Koreň, M.; Tomaštík, J.; Pfeifer, N.; Hollaus, M., Terrestrial structure from motion photogrammetry for deriving forest inventory data. Remote Sensing 2019, 11 (8), 950.
Roberts, J. W.; Koeser, A. K.; Abd-Elrahman, A. H.; Hansen, G.; Landry, S. M.; Wilkinson, B. E., Terrestrial photogrammetric stem mensuration for street trees. Urban Forestry & Urban Greening 2018, 35, 66-71.
Soleimannejad, L.; Bonyad, A. E.; Naghdi, R.; Latifi, H., Classification of quantitative attributes of Zagros forest using Landsat 8-OLI and Random Forest algorithm (Case study: protected area of Manesht forests). Journal of Forest Research and Development 2019, 4 (4), 415-434.
Surový, P.; Yoshimoto, A.; Panagiotidis, D., Accuracy of reconstruction of the tree stem surface using terrestrial close-range photogrammetry. Remote Sensing 2016, 8 (2), 123.
Ullman, S., The interpretation of structure from motion. Proceedings of the Royal Society of London. Series B. Biological Sciences 1979, 203 (1153), 405-426.
Wu, X.; Zhou, S.; Xu, A.; Chen, B., Passive measurement method of tree diameter at breast height using a smartphone. Computers and Electronics in Agriculture 2019, 163, 104875.
Forest Research and Development
Volume 7, Issue 4
February 2022
Pages 639-651

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