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Information Journal Paper

Title

Accuracy of tree height estimation using digital aerial imagery UltraCam (Case study: Taleghani Park, Tehran)

Pages

  55-68

Keywords

Digital elevation model (DEM)Q1
Digital surface model (DSM)Q1

Abstract

 Background and Objectives: Measuring Tree height in forest is time and cost-consuming especially in vast areas. Therefore, using digital aerial images are proposed. The main objective of this research is evaluating capability of such images for estimating trees height. Materials and Methods: This research was done based on nine UltraCam-D aerial images with 70% end lap overlay and 60% side lap, 7 cm pixel size and scale of 1: 8000 in Taleghani Park of Tehran. The images were geometrically corrected using aerial triangulation method and then digital elevation model (DEM) and digital surface model (DSM) were produced using LPS and INPHO software respectively. Then trees height was estimated by the difference between the two models. To estimate the accuracy of DEM, the elevation of 15 points from the 1: 1000 topographic map of Tehran were extracted and compared with the DEM elevation values at the same points. After that, calculating 101 trees height, were performed by subtracting values of DSM and DEM for each tree. To check the precision of calculated height, heights of these trees were measured by Suunto in the field and were compared with the estimated height. The trees include various species of conifers and deciduous. Comparison of estimated heights (calculated) with ground values (measured heights) was performed using simple linear regression and, R2, RMSE and RMSE%. The pairwise T-test was used to compare height differences in two groups of broad-leaved and needle-leaved trees. Results: Due to the RMSE value based on the five control points (0. 22 pixels), and the exact correspondence of the corrected images with the topographic map, the reliability of the geometric correction was obtained with acceptable accuracy. The low density of forest cover in the studied area allowed the ground to be seen in the images. This point made it possible to select the right control points and the number of node points. Achieved results, high linear correlation between actual height value and calculated height (R2=82%), RMSE (1. 35 m) and insignificant average difference between calculated and actual height (1. 13 m) indicate that estimated height based, has acceptable accuracy. In addition, no significant difference was observed between precision of estimated conifers and deciduous height. Conclusion: Based on the results, this approach can be used operationally to determine height of the trees in relatively flat areas such as urban forests and flat Zagros forests but its capability should be investigated at mountainous areas, high density and high-slope forests.

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    APA: Copy

    DARVISHSEFAT, A.A., Armandi, M., & RAFIEYAN, O.. (2019). Accuracy of tree height estimation using digital aerial imagery UltraCam (Case study: Taleghani Park, Tehran). JOURNAL OF WOOD AND FOREST SCIENCE AND TECHNOLOGY, 26(3 ), 55-68. SID. https://sid.ir/paper/396510/en

    Vancouver: Copy

    DARVISHSEFAT A.A., Armandi M., RAFIEYAN O.. Accuracy of tree height estimation using digital aerial imagery UltraCam (Case study: Taleghani Park, Tehran). JOURNAL OF WOOD AND FOREST SCIENCE AND TECHNOLOGY[Internet]. 2019;26(3 ):55-68. Available from: https://sid.ir/paper/396510/en

    IEEE: Copy

    A.A. DARVISHSEFAT, M. Armandi, and O. RAFIEYAN, “Accuracy of tree height estimation using digital aerial imagery UltraCam (Case study: Taleghani Park, Tehran),” JOURNAL OF WOOD AND FOREST SCIENCE AND TECHNOLOGY, vol. 26, no. 3 , pp. 55–68, 2019, [Online]. Available: https://sid.ir/paper/396510/en

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