• Journal of Korean Society for Geospatial Information Science
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• v.18 no.3
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• pp.11-19
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• 2010

In recent years, Korea has witnessed an increase to natural disasters such as landslides due to localized sudden and intensive rainfalls. Thus there have been researches on surface displacements to detect and monitor displacements in the areas prone to landslides by using high-precision and density numerical elevation data from LiDAR, which is an advanced 3D measuring equipment. However, the commercial software to process large-capacity LiDAR data, is expensive and difficult to be applied to specialized tasks such as analysis of landslide. In addition, there are no measures for many users to easily access diverse spatial information related to landslides and put it to intuitive uses. Thus this study developed an application program to analyze landslides by processing time series LiDAR data and intuitively serve many users with information about the topography and landslides of given areas. It analyzed the current state of landslides in the subject region through case study and proposed that 3D-based landslide and topography information can be served intuitively.

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

• Proceedings of the Korea Water Resources Association Conference
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• 2010.05a
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• pp.739-743
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• 2010

본 연구에서는 확산파 기반의 2차원 침수해석 모형을 이용하여 울산광역시 태화강 유역에 대하여 침수시 건물 안으로의 흐름은 없다는 가정 하에서 건물로 인한 흐름의 양상, 침수심, 침수위등을 분석하였다. 지형자료는 최근 대도시를 중심으로 구축되고 있는 1m 간격으로 수집된 LiDAR 자료를 바탕으로 10m간격의 정형격자를 통하여 지형자료를 생성하였으며, 수치지도로부터 추출된 건물을 ArcView 등의 GIS Tool을 활용하여 LiDAR 자료와 합성하여 2차원 침수해석에 적용되는 지형자료를 구성하였다. 200년 빈도의 확률강우에 대한 유출해석 결과를 이용하여 FLDWAV 모형을 적용한 태화강에 대한 1차원 하천해석을 실시하였고, 제방파제에 대한 가상의 시나리오를 생성하여 파제에 따른 외수범람에 대한 2차원 침수해석을 실시하였으며, 침수해석 결과를 각 시간별로 가시화함으로써 효율적이며 정확한 침수해석 방법을 제안하고자 하였다. 침수해석 결과에 대한 분석을 통하여 침수면적에 따른 적합도가 건물의 영향을 고려한 경우와 그렇지 않은 경우를 비교한 결과 90%이하로 떨어지는 것을 확인하였고, 침수심과 침수위에 대한 분석을 통하여 침수심은 건물 영향 고려시 낮게 산정되나 침수위로 고려시 높은 수위 값을 나타내는 것을 확인하였다.

• Journal of the Korean Association of Geographic Information Studies
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• v.14 no.1
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• pp.84-93
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• 2011

Levee line mapping is critical to the protection of environments in river zones, the prevention of river flood and the development of river zones. Use of the remote sensing data such as LiDAR and aerial orthoimage is efficient for river mapping due to their accessibility and higher accuracy in horizontal and vertical direction. Airborne laser scanning (LiDAR) has been used for river zone mapping due to its ability to penetrate shallow water and its high vertical accuracy. Use of image source is also efficient for extraction of features by analysis of its image source. Therefore, aerial orthoimage also have been used for river zone mapping tasks due to its image source and its higher accuracy in horizontal direction. Due to these advantages, in this paper, research on three dimensional levee line mapping is implemented using LiDAR and aerial orthoimage separately. Accuracy measurement is implemented for both extracted lines generated by each data using the ground truths and statistical comparison is implemented between two measurement results. Statistical results show that the generated 3D levee line using LiDAR data has higher accuracy than the generated 3D levee line using aerial orthoimage in horizontal direction and vertical direction.

• Journal of the Korean Association of Geographic Information Studies
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• v.20 no.3
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• pp.181-194
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• 2017

This study aims to develop a regression model for forest volume estimation using field-collected forest inventory information and airborne LiDAR data. The response variable of the model is forest stem volume, was measured by random sampling from each individual plot of the 30 circular sample plots collected in Bonghwa-gun, Gyeong sangbuk-do, while the predictor variables for the model are Height Percentiles(HP) and Height Bin(HB), which are metrics extracted from raw LiDAR data. In order to find the most appropriate model, the candidate models are constructed from simple linear regression, quadratic polynomial regression and multiple regression analysis and the cross-validation tests were conducted for verification purposes. As a result, $R^2$ of the multiple regression models of $HB_{5-10}$, $HB_{15-20}$, $HB_{20-25}$, and $HBgt_{25}$ among the estimated models was the highest at 0.509, and the PRESS statistic of the simple linear regression model of $HP_{25}$ was the lowest at 122.352. $HB_{5-10}$, $HB_{15-20}$, $HB_{20-25}$, and $HBgt_{25}-based$ models, thus, are comparatively considered more appropriate for Korean forests with complicated vertical structures.

• Explosives and Blasting
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• v.40 no.4
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• pp.15-26
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• 2022

With the recent increase in old and dangerous buildings, the demand for technology in the field of structure demolition is rapidly increasing. In particular, in the case of structures with severe deformation of damage, there is a risk of deterioration in stability and disaster due to changes in the load distribution characteristics in the structure, so rapid structure demolition technology that can be efficiently dismantled in a short period of time is drawing attention. However, structural deformation such as unauthorized extension or illegal remodeling occurs frequently in many old structures, which is not reflected in structural information such as building drawings, and acts as an obstacle in the demolition design process. In this study, as an effective way to overcome the discrepancy between the structural information of old structures and the actual structure, access to actual structures through 3D modeling was considered. 3D point cloud data inside and outside the building were obtained through LiDAR and drone photography for buildings scheduled to be blasting demolition, and precision matching between the two spatial data groups was performed using an open-source based spatial information construction system. The 3D structure model was completed by importing point cloud data matched with 3D modeling software to create structural drawings for each layer and forming each member along the structure slab, pillar, beam, and ceiling boundary. In addition, the modeling technique proposed in this study was verified by comparing it with the actual measurement value for selected structure member.

• Journal of Cadastre & Land InformatiX
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• v.46 no.1
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• pp.87-100
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• 2016

The acquisition of the forest resource information has depended on a partial sampling method or aerial photographs which demand a lot of effort and time because of the vast areas and the difficult approach. For the acquisition of the forest resource information, there have been the optical remote-sensing and the multi-spectrum image to offer only horizontal distributions of trees, but a new technological approach, such as Airborne LiDAR, is more necessary to acquire directly three dimensional information related to the forest terrains and trees' features. This paper proposes an algorithm for the forest information extraction such as trees' individual numbers and the heights of trees by using LiDAR data. Especially, this proposed algorithm adopts a region growing method for the extraction of the vegetation-point and extracts the forest information using morphological features of trees.

• The Journal of Engineering Geology
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• v.21 no.1
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• pp.1-13
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• 2011

Joint roughness is one of the most important parameters in analysis of rock slope stability. Especially in probabilistic analysis, the random properties of joint roughness influence the probability of slope failure. Therefore, a large dataset on joint roughness is required for the probabilistic analysis but the traditional direct measurement of roughness in the field has some limitations. Terrestrial LiDAR has advantagess over traditional direct measurement in terms of cost and time. JRC (Joint Roughness Coefficient) was calculated from statistical parameters which are known from quantitative methods of converting the roughness of the material surface into JRC. The mean, standard deviation and distribution function of JRC were obtained, and we found that LiDAR is useful in obtaining large dataset for random variables.

• 한국지형공간정보학회:학술대회논문집
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• 2004.10a
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• pp.141-146
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• 2004

최근 들어 국내에서도 홍수에 의한 재산과 인명피해를 최소화하기 위해 지역특성에 알맞은 홍수지도를 제작 중에 있으며, 주로 LiDAR를 이용하여 홍수지도 지형자료를 구축하고 있다. 그러나 이에 많은 시간과 비용이 소요되기 때문에 이미 전국적으로 구축된 수치지형도를 이용한 홍수지도 지형자료 구축의 가능성과 타당성을 검증의 필요성이 제기되고 있다. 이에 따라 본 연구에서는 수치지형도를 이용한 홍수지도제작시 가장 핵심이 되는 정확한 지형자료구축을 위해서 Breakline처리기법과 하천종횡단자료 연계방안을 중심으로 구리시 일부지역을 대상으로 DEM을 시범제작 하였다. 수치지형도와 LiDAR를 이용하여 구축한 DEM을 검수점을 통한 RMSE오차를 이용하여 수직위치정확도를 비교분석하였다. 분석을 위하여 선행연구(홍수지도제작, 2002)에서 검수점으로 사용한 9점과 제방부분의 실측한 9점을 본 연구의 검수점으로 사용하였다. 비교 결과 RMSE가 수치지형도 DEM의 경우 ${\pm}2.658m$이고, LiDAR DEM의 경우 ${\pm}3.430m$로 나타났다. 두 자료 모두 알려진 오차범위보다 훨씬 높은 오차가 발생함을 알 수 있었다. 향후 수치지형도를 이용한 효율적인 홍수지도 지형자료 구축을 위해서는 수치지형도의 신속하고 지속적인 갱신이 필요할 것이며, 현재 도시지역에만 구축되어 있는 1:1,000 수치지형도를 주변 하천지역까지 확대해서 구축해야 할 필요성이 있을 것으로 사료된다. 아울러 도입초기단계의 LiDAR 측량기술의 보급과 관련모델의 기술의 발달로 인하여 정확도 높은 DEM이 요구된다면 고밀도의 방대한 양의 LiDAR 자료로 DEM을 구축하는 것이 바람직하다고 사료된다.및 이용대책을 수립하는 데 활용될 수 있다., $1,000-2,000{\mu}g\;g^{-1}$), 나머지 177종 식물은 살초활성을 나타내지 않았다. 높은 살초활성을 나타낸 식물로부터 분리되는 천연활성물질들은 향후 새로운 제초제 개발을 위한 모화합물 제공, 상호대립억제 작용성을 갖는 작물 품종 개발 혹은 개량에의 활용, 그리고 친환경 유기농업용 잡초방제에의 활용이 기대된다.내(皮膚上皮組織內)의 Langerhans cell내(內)의 Birbeck granule에 비(比)해 수적(數的)으로 현저히 감소(減少)되어 있었다. 그러나 Thy-1 양성(陽性) dendritic cell에서 볼 수 있는 dense-core 과립(顆粒)은 별변화(別變化)없이 쉽게 관찰(觀察)될 수 있었다. 조직배양(組織培養)을 한 견(犬)의 keratinocyte에 대(對)해 사람 pemphigus vulgaris의 항체(抗體)로 반응(反應)시킨 후 protein-A gold(15 nm)로 표식(標識)시킨 바 제일 바깥 상층(上層)의 keratinocyte에 있어서 세포막표면(細胞膜表面)을 따라 표식(標識)되어 세포막항원(細胞膜抗元)을 나타내었으며, 이와 같은 소견(所見)으로 미루어 정상피부(正常皮膚) 중층편평상피세포(重層扁平上皮細胞)에서도 동일(同一)한 소견(所見)을 관찰(觀察)할 수 있다고 본다.al remnants, Resorption of fetus로 관찰된 것이다. Fetal death는 수정후 $14{\sim}18$일까지의 사망으로써 Maceration of fetus로 관찰되는 것이다. 통계학적 분석은 각 Group의 착상 을과 자궁 내 사망 율을 산출할 때에는 각 임신마우스에 따라 발생빈도가 크

• Journal of the Korean Association of Geographic Information Studies
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• v.19 no.1
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• pp.154-166
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• 2016

This study aims to contribute to better understanding the effects of the changes in the parameter values of GroundFilter algorithm(GF), which performs filtering process, and of GridsurfaceCreate algorithm(GC), which creates regular grid, provided in Fusion software on the accuracy of elevation of the final LiDAR-DEM products through comparative analysis. In order to test whether there are significant effects on the accuracy of the final LiDAR-DEM products due to the changes of GF(1, 3, 5, 7, 9) parameter levels and GC(1, 3, 5, 7, 9) parameter levels, two-way ANOVA is conducted based on residuals. The residuals are calculated using the differences between each sample plot's paired field-measured and DEM-derived elevation values given each individual GF and GC level. After that, Tukey HSD test is conducted as a post hoc test for grouping the levels. As a result of two-way ANOVA test, it is found that the change in the GF levels significantly affects the accuracy of LiDAR-DEM elevations(F-value : 27.340, p < 0.01), while the change in the GC levels does not significantly affect the accuracy of LiDAR-DEM elevations(F-value : 0.457). It is also found that the interaction effect between GF and GC levels is not likely to exist(F-value : 0.247). From the results of the Tukey HSD test in the GF levels, GF levels can be divided into two groups('7', '5', '9', '3' vs '1') by the differences of means of residuals. Given the current conditions, LiDAR-DEM can achieve the best accuracy when the level '7' and '3' are given as GF and GC level, respectively.