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Information Journal Paper

Title

ASSESSING EFFECT OF GROUND SAMPLING INTENSITY ON ESTIMATING FOREST QUANTITATIVE CHARACTERISTICS USING FUSION OF AIRBORNE LASER SCANNER DATA AND ULTRA CAM-D IMAGES

Pages

  155-180

Abstract

 Background and objectives: In this study we evaluated the effect of reduce the number of plots on estimation of stand volume, tree density and basal area using random forest, support vector regression and k -NN algorithms for the part of Shast Kalate of Gorgan.Materials and methods: We applied a systematic random sampling method to collect field data with 150×200 meter network (3.33%, 1.66% and 0.83% INTENSITY SAMPLING). Futhermore, 308 circular with 17.84 (0.1 ha) meters radius plot were measured in study area. In addition to the data collected, in the compartment number of 16 and 21 (13.3 and 6.66%), we applied a systematic random sampling method to collect field data with 75×100 meter network. Also, 134 plot circular with 17.84 (0.1 ha) meters radius were measured in 2 compartments. After removal of all outliers and creating DTM and DSM, all height and density related metrics of first and last pulse were produced. Also, after orthorectification DIGITAL AERIAL IMAGES, all texture measures were produced.Results: The results of comparison of INTENSITY SAMPLING in stand volume, tree density and basal area estimation using fusion LIDAR data and DIGITAL AERIAL IMAGES showed that with increasing INTENSITY SAMPLING, RMSE% is reduced and with reducing INTENSITY SAMPLING, the RMSE% is increased. Although the results of 3.33%, 1.66% and 0.83% INTENSITY SAMPLING were not very different but According to low difference in RMSE% of the resulting all INTENSITY SAMPLING (3.33%, 1.66%and 0.83%), the 0.83% INTENSITY SAMPLING recommended to estimate the stand volume, tree density and basal area.Conclusion: Therefore, there is a possibility of the estimation of stand volume, tree density and basal area using Laser scanner data and Ultra Cam-D images with minimum cost, reasonable accuracy and less plots compared to 3.33% intensity.

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    APA: Copy

    MOHAMMADI, J., SHATAEI, SH., NAMIRANIAN, M., & ESLAMI, VAHIDE. (2016). ASSESSING EFFECT OF GROUND SAMPLING INTENSITY ON ESTIMATING FOREST QUANTITATIVE CHARACTERISTICS USING FUSION OF AIRBORNE LASER SCANNER DATA AND ULTRA CAM-D IMAGES. JOURNAL OF WOOD AND FOREST SCIENCE AND TECHNOLOGY, 23(SUPPLEMENT 1), 155-180. SID. https://sid.ir/paper/156841/en

    Vancouver: Copy

    MOHAMMADI J., SHATAEI SH., NAMIRANIAN M., ESLAMI VAHIDE. ASSESSING EFFECT OF GROUND SAMPLING INTENSITY ON ESTIMATING FOREST QUANTITATIVE CHARACTERISTICS USING FUSION OF AIRBORNE LASER SCANNER DATA AND ULTRA CAM-D IMAGES. JOURNAL OF WOOD AND FOREST SCIENCE AND TECHNOLOGY[Internet]. 2016;23(SUPPLEMENT 1):155-180. Available from: https://sid.ir/paper/156841/en

    IEEE: Copy

    J. MOHAMMADI, SH. SHATAEI, M. NAMIRANIAN, and VAHIDE ESLAMI, “ASSESSING EFFECT OF GROUND SAMPLING INTENSITY ON ESTIMATING FOREST QUANTITATIVE CHARACTERISTICS USING FUSION OF AIRBORNE LASER SCANNER DATA AND ULTRA CAM-D IMAGES,” JOURNAL OF WOOD AND FOREST SCIENCE AND TECHNOLOGY, vol. 23, no. SUPPLEMENT 1, pp. 155–180, 2016, [Online]. Available: https://sid.ir/paper/156841/en

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