写真測量とリモートセンシング
Online ISSN : 1883-9061
Print ISSN : 0285-5844
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54 巻 , 4 号
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  • 橘 菊生, 間野 耕司, 島村 秀樹, 西山 哲
    54 巻 (2015) 4 号 p. 166-177
    公開日: 2016/09/01
    ジャーナル フリー
    Recently Mobile Mapping System (MMS) is used for variety applications such as three-dimensional road facility mapping, road maintenance and disaster risk management. The application of MMS to maintenance and management of river embankments has also been studied so far. The three-dimensional coordinates of the laser point cloud data obtained from MMS are calculated based on the position and orientation of MMS that are measured by GNSS, IMU and odometer. Analysis of the position of MMS is carried out by RTK method or networked RTK method such as FKP (Flächen Korrektur Parameter) method and VRS (Virtual Reference Station) method. In the GNSS analysis, longer base line decreased accuracy due to ionospheric and tropospheric delay. In this study, we verified the difference of positioning accuracy depending on the GNSS analysis method and considered the optimal measurement conditions to apply MMS to monitoring the river embankment. In addition, based on the three-dimensional laser point cloud, we investigated the accuracy of the height of the embankment crest and the profile of the river embankment by using our proposed methods. In this paper, we demonstrate the required measurement conditions and the effective data processing for the river embankment measurement by MMS.
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  • 竹島 喜芳
    54 巻 (2015) 4 号 p. 178-188
    公開日: 2016/09/01
    ジャーナル フリー
    I developed a model to estimate stand volumes using LiDAR data. Stand volumes (v) are often estimated by linear regression model using spatial volume (V), vaV or vaVb, where a and b as constant. This method is easy to apply, but its accuracy is known to be low. Belief of taking “a” as constant may worth for reconsideration. The concept of “Stock Ratio (s)” -defined as sv/V is newly proposed in this study. I focused on five representative stand characters-species, diameter of breath height, slope, height to diameter ratio and Hart-Becking index and examined the relation between these factors and Stock Ratio using 6,000 trees data obtained in field measurements. The results strongly suggested that species and Hart-Becking index have an apparent relation with Stock Ratio. Hence, it is clear that Stock Ratio will differ among species and Hart-Becking index. The relation can be modeled as s=Bse(-As×Sr) where Sr is Hart-Becking index and, As and Bs are the constant by species. Introducing the estimation of Stock Ratio with above two factors which is proposed in this study will improve the accuracy of the estimation for the stand volume (i.e. vsVBse(-As×Sr)V) than conventional methods.
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