• Journal of the Korean Data and Information Science Society
• /
• v.28 no.1
• /
• pp.29-37
• /
• 2017

It has gradually become important to estimate a forest stand volume utilizing LiDAR data. Recently, various statistical models including a linear regression model has been introduced to estimate a forest stand volume using LiDAR data. One of limitations of the current approaches is in that the accuracy of observed forest stand volume data, which is used as a response variable, is questionable unstable. To overcome this limitation, we consider a spatial structure for a forest stand volume. In this research, we propose a hierarchical model for applying a spatial structure to a forest stand volume. The proposed model is applied to the LiDAR data and the forest stand volume for Bonghwa, Gyeongsangbuk-do.

• Spatial Information Research
• /
• v.20 no.1
• /
• pp.27-38
• /
• 2012

The recent development of CFD techniques are being involved w ith Environmental Impact Assessment and Environmental DesignroThey are being applied to the Site Planning and Engineering Design works as a new trendroHowever, CFD laboratory works are not extended to the field works in Industrial Project due to inaccuracy of the data input process that is cause by absence of regional height informationsroHence, in this study, we promote to build a new initial input data processing steps and algorithms for CFD Model generation. ENVI-met model is very popular, efficient, and freely downloadable CFD model. Light Detection And Ranging (LiDAR) are well known state of art technology and dataset proving a reliable accuracy for CFD. We use LiDAR data as a input source for CFD input producing process and algorithm development and evaluation. CFD initial input data generation process and results derived from am development and set is very useful and efficient for rapid CFD input data producing and maklomore reliable CFD Model forec st for atmospheric and climatic analysis for planning and design engineering industry.

• Journal of Korean Society for Geospatial Information Science
• /
• v.15 no.4
• /
• pp.3-9
• /
• 2007

Recently, the efforts of systematic understanding and utilization of geographic phenomenon for human life as a important factor among activity of mankind are increasing. It is necessary to express topography connected with space. Especially, the technology of geographic analysis using DEM can supply the information rapidly and accurately about elevation and terrain slope of the subject area under the necessity of high 3D quality geographic information. In this study, creating more precise DEM derived from LiDAR data, quantitative analysis on the subject area about elevation and terrain slope is done under comparison with Digital Topographic map Scale 1:1000. LiDAR data is more detailed than Digital Topographic map to express the elevation of the subject area ($39.89{\sim}77.48m$), and terrain slope by analysis using DEM derived from LiDAR data come out minutely about 90%. It can be concluded that the LiDAR data is very applicable and accurate for 3D topographic terrain slope analysis.

• Land and Housing Review
• /
• v.3 no.1
• /
• pp.15-22
• /
• 2012

The purpose of this research was to propose housing estate planning that applies 3D spatial information to DAS housing estate planning program and to enhance applicability of 3D spatial analysis. In addition, this research evaluated the applicability of 3D spatial information to site planning of Korea Land and Housing Corporation and developed models for the purpose of applying the spatial information efficiently. Moreover, we tested applicability of LiDAR that can allow 3D spatial information to be more efficient and accurate. The results from cross section analysis implies that LiDAR has higher usability than existing geographic information. Additionally, this study shaded light on the suggested system development model that can simulate location or height of an apartment house by spatially analyzing difference between before-and-after site development.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2016.10a
• /
• pp.172-175
• /
• 2016

Time of Flight(ToF) LiDAR(Light Detection And Ranging) technology has been used for distance measurement and object detection by measuring ToF time information. This technology has been evolved into higher precision measurement field such like autonomous driving car and terrain analysis since the retrieval of exact ToF time information is of prime importance. In this paper, as a accuracy indicator of the ToF time information, timing jitter was measured and analyzed through Single-Shot LiDAR system(SSLs) mainly consisting of 1.5um wavelength MOPA LASER, InGaAs Avalanche Photodiode(APD) at 31M free space environment. Additionally, we applied spline interpolation and multiple-shot averaging method on measured data through SSLs to improve ToF timing information.

• Journal of Environmental Impact Assessment
• /
• v.17 no.5
• /
• pp.279-288
• /
• 2008

Vertical forest distribution is one of the important factors to understand various ecological mechanism such as succession, disturbance and environmental effects. LiDAR data provide information, both the horizontal and vertical distribution of forest structure. The laser scanner survey provided a point cloud, in which the x, y, and z coordinates of the points are known. The objectives of this study were 1) to analyze factors of forest structure such as individual tree isolation, tree height, canopy closure and tree density using LiDAR data and 2) to compare the forest structure between outer and interior forest. The paper conducted to extract the individual tree using watershed algorithm and to interpolate using the first return of LiDAR data for yielding digital surface model (DSM). The results of the study show characters of edge such as more isolated individual trees, higher density, lower canopy closure, and lower tree height than those of interior forest. LiDAR data is to be useful for analyzing of forest structure. Further study should be undertaken with species for more accurate results.

• Proceedings of the KSRS Conference
• /
• v.1
• /
• pp.181-183
• /
• 2006

Digital topographic map in Korea contains layers of spatial and attribute data for 8 land features such as railroads, watercourses, roads, buildings and etc. Some of the layers such as building and forest don't include any information about height, which can be just prepared by interpretation of remote sensed data or field survey. LiDAR(Light Detection And Ranging) data using active pulse and digital camera provides data about height and form of land features. LiDAR data can be used not only to extract the outline of land features but also to estimate the height. This study presents technical availability for extraction and estimation of land feature's outline and height using LiDAR data which composes of natural and artificial land features, and digital aerial photograph which was taken simultaneously with the LiDAR. The estimated location, outline and height of land features were compared with the field survey data, and we could find that LiDAR data and digital aerial photograph can be a useful source for estimating the height of land features as well as extracting the outline.

• Journal of Korean Society for Geospatial Information Science
• /
• v.16 no.4
• /
• pp.17-23
• /
• 2008

A model slope was made to work out a way of detecting the sign of the occurrence of landslides and monitoring analysis was conducted to grasp the slope displacement of Terrestrial LiDAR equipment. As a result, the image of slope displacement could be monitored quickly and the accuracy of monitoring analysis was a deviation of 0.007m, 0.006m and 0.006m on average based on the figures prior to displacement after the first, second and third displacements, respectively. As the figures represent a very small deviation, they will be able to be used helpfully in measuring the displacement of actual slope in the future.

• Journal of Cadastre & Land InformatiX
• /
• v.54 no.2
• /
• pp.249-261
• /
• 2024

This study aims to leverage drone technology to perform precise surveying of the Iksan Wanggung-ri archaeological site and produce high-quality digital terrain models (DTM). By integrating drone-mounted sensors, including RGB and LiDAR, the research generated high-resolution orthoimages, digital elevation models (DEM), and three-dimensional models of the site. The results are compared against existing 1:5,000-scale national topographic maps, demonstrating the superior accuracy and detail of the drone-derived data. The drone data enables the creation of 1m interval contour lines, significantly improving terrain analysis over the traditional 5m intervals. Additionally, the integration of point cloud data captured by LiDAR provided a more accurate representation of topographic features. This method preserves the site's integrity while allowing for more frequent monitoring and enhanced site management. These advancements support ongoing academic research and heritage conservation efforts, highlighting the potential of drone technology in archaeological and topographic studies.