• Title/Summary/Keyword: 수목체적

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Study on Tree Volume Measurement Using Terrestial and Airbone Laser Scanners (지상 및 드론라이다를 활용한 수목 재적 측정에 관한 연구)

  • Seo, Seonghyeok;Park, Kummi;Jung, Taeyeol
    • Journal of the Korean Institute of Landscape Architecture
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    • v.52 no.5
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    • pp.42-52
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    • 2024
  • This study aimed to utilize LiDAR, a high-precision surveying technology, to compensate for errors caused by human measurements and obtain accurate and consistent data for tree volume measurement. To this end, a comparative verification of measured tree volume values by each method was conducted using terrestrial LiDAR (TLS) and drone LiDAR (ALS). As a result of examining the 3D data of trees according to the measurement method, it was confirmed that the output data of terrestrial LiDAR had insufficient crowns, and the output data of drone LiDAR had insufficient trunks. Therefore, the study attempted to establish a complete form by aligning the two data sets. In addition, two verifications of tree volume values were conducted using the point cloud data output by each method. As a result of the first verification, the accuracy verification of terrestrial LiDAR showed a difference of 1-3 m in tree height compared to the existing field survey measurement value. The discrepancy is believed to be due to the density of trees or terrain and features according to the principle of LiDAR. In the second verification, terrestrial LIDAR, drone LIDAR, terrestrial LIDAR, and drone LIDAR alignment data were compared. In order to compare the tree height and breast height diameter according to each measurement method, Bland-Altman descriptive statistics were performed based on the field survey measurement values. Considering the results, the drone LIDAR measurement method showed the highest repeatability coefficient, indicating the least consistency, while the drone and terrestrial LIDAR alignment data values showed the lowest repeatability coefficient, indicating high consistency. For the breast height diameter, the terrestrial LIDAR measurement method showed a low repeatability coefficient similar to the drone and terrestrial LIDAR alignment data values, indicating high consistency. Therefore, it is judged that the method of overlapping drone and terrestrial LIDAR data when measuring the structure of trees can derive more precise tree volume information.

Influencing Degree to the Air Temperature of Stratification in the Urban Green Space (도시녹지의 계층구조가 기온에 미치는 영향)

  • 윤용한;김원태
    • Asian Journal of Turfgrass Science
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    • v.16 no.2
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    • pp.107-114
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    • 2002
  • In this study, We measured air temperature in a vegetated area to investigate if stand types and height affect air temperature. With the measured data, we analyzed the relation-ships between air temperature vs. ground cover type, vegetated area, stand structure, stand density, and tree volume by regression analysis. The results show that the paved area and open field have higher air temperatures than the vegetated area and water-related areas. Among the stand types, the stand with overstory and sub-overstory showed relatively low are temperature. The stand with overstory had lower air temperature than the stand with sub-overstory. Increasing stand density was effective for lowering air temperature.

A Study on Greenspace Planning Strategies for Thermal Comfort and Energy Savings (열쾌적성과 에너지절약을 위한 녹지계획 전략 연구)

  • Jo, Hyun-Kil;Ahn, Tae-Won
    • Journal of the Korean Institute of Landscape Architecture
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    • v.38 no.3
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    • pp.23-32
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    • 2010
  • The purpose of this study is to quantify human energy budgets for different structures of outdoor spatial surfaces affecting thermal comfort, to analyze the impacts of tree shading on building energy savings, and to suggest desirable strategies of urban greenspace planning concerned. Concrete paving and grass spaces without tree shading and compacted-sand spaces with tree shading were selected to reflect archetypal compositional types for outdoor spatial materials. The study then estimated human energy budgets in static activity for the 3 space types. Major determinants of energy budgets were the presence of shading and also the albedo and temperature of base surfaces. The energy budgets for concrete paving and grass spaces without tree shading were $284\;W/m^2$ and $226\;W/m^2$, respectively, and these space types were considerably poor in thermal comfort. Therefore, it is desirable to construct outdoor resting spaces with evapotranspirational shade trees and natural materials for the base plane. Building energy savings from tree shading for the case of Daegu in the southern region were quantified using computer modeling programs and compared with a previous study for Chuncheon in the middle region. Shade trees planted to the west of a building were most effective for annual savings of heating and cooling energy. Plantings of shade trees in the south should be avoided, because they increased heating energy use with cooling energy savings low in both climate regions. A large shade tree in the west and east saved cooling energy by 1~2% across building types and regions. Based on previous studies and these results, some strategies including indicators for urban greenspace planning were suggested to improve thermal comfort of outdoor spaces and to save energy use in indoor spaces. These included thermal comfort in construction materials for outdoor spaces, building energy savings through shading, evapotranspiration and windspeed mitigation by greenspaces, and greenspace areas and volume for air-temperature reductions. In addition, this study explored the application of the strategies to greenspace-related regulations to ensure their effectiveness.

The Effect on the Forest Temperature by Reduced Biomass Caused by Natural Forest Thinning (천연림 간벌에 기인한 산림생물량 감소가 산림 내부 온도에 미치는 영향 연구)

  • Kang, Rae-Yeol;Hong, Suk-Hwan
    • Korean Journal of Environment and Ecology
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    • v.32 no.3
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    • pp.303-312
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    • 2018
  • This study was conducted to investigate the relationship between the decrease of forest biomass by forest thinning and the change of temperature in the natural forest by measuring forest biomass and temperature before and after forest thinning in the Pusan National University forest where afforestation had been carried out. We intended to investigate the relationship between the forest biomass, estimated by calculating the Basal area, Crown area and Crown volume using the same formula to the same quadrat before and after forest thinning, and the forest temperature. Temperature measurement was carried out on April 20, 2016 through 28 before forest thinning, July 26, 2016 through November 4 around the time of forest thinning, and April 15, 2017 through May 8 after forest thinning. A temperature data logger was installed to point north at the height of 2.0 m above the ground in the center of the quadrat to record data every 10 minutes during the measurement periods. We used the AWS (Automatic Weather Station) data of the Dongnae-gu area located in the nearby city because it was difficult to set the control group since the whole forest was the subject to the forest thinning. The analysis of the relationship between forest biomass change and temperature showed that the change in temperature inside the forest was the greatest in the midday (12:00 - 15: 00) and was highly correlated with the Crown volume in the forest biomass. The temperature increase was much larger (average $1.91^{\circ}C$) 1 year after forest thinning than immediately after forest thinning (average $0.74^{\circ}C$). The comparison of the decrease rate of Crown volume and the increase in temperature showed that the Pitch pine community, which showed the highest decrease of Crown volume by 15.4%, recorded the highest temperature rise of $1.06^{\circ}C$ immediately after forest thinning and $2.49^{\circ}C$ 1 year after forest thinning. The Pitch pine-Korean red pine community, which showed the lowest Crown volume reduction rates with 5.0%, recorded no significant difference immediately after forest thinning but a temperature rise of $0.92^{\circ}C$ 1 year after forest thinning. The results confirmed that the decrease of forest biomass caused by forest thinning led to a rapid increase of the internal temperature. The fact that the temperature increase was more severe after 1 year than immediately after forest thinning confirmed that the microclimate changes due to the removed biomass cannot be recovered in a short time.

Spatial Distribution of Macropore Development on a Hillslope (소유역의 사면에서의 대공극발달의 공간적 분포)

  • Kwak, Yong-Seok;Kim, Sang-Hyun
    • Proceedings of the Korea Water Resources Association Conference
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    • 2007.05a
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    • pp.825-830
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    • 2007
  • 사면에서 발생되는 강우유출과정에 기여하는 대공극의 영향은 그 중요성에도 불구하고 잘 알려져 있지 않다. 특히 대공극의 공간적분포특상에 대한 현장측정은 이뤄지지 않았다. 본 연구의 실험지역은 경기도 포천시 광릉수목원에 있는 작은 소유역이다. 이 지역의 정밀한 측량을 하여 수치고도모형(DEM)을 얻었다. 이 수치고도모형을 바탕으로 수치지형분석을 통해 흐름선을 파악하여 총 20지점을 선정하였다. 각 지점에서의 대공극을 통한 수직적인 유동들은 장력침투계를 사용하여 지표면아래 깊이 10cm에서 측정하였다. 공간적 토양의 특성분포를 파악하기 위해 각 지점에서의 체적밀도와 점토함량을 조사하였다. 토양수분의 공간적 분포 특성은 TDR(Time Domain Reflectometry)방식인 TRASE를 이용하여 토양수분 값을 얻었다. 이러한 다양한 공간적 특성들은 대공극발달의 공간적 분포특성을 파악하는 중요자료가 된다. 소유역을 크게 기여사면 면적을 기준으로 상부, 중부, 하부로 나누어 대공극의 유효 공극율과 대공극흐름율을 계산하였다. 상부에서의 유효 대공극율의 평균값과 변동계수는 각각 4.3%, 42.1%이고, 대공극흐름율의 평균값과 변동계수는 각각 45.0%, 26.6%이다. 중부에서는 유효 대공극율의 평균값과 변동계수는 6.8%, 37.3%이고, 대공극흐름율의 평균값과 변동계수는 56.2%, 14.4% 이다. 그리고 하부에서의 유효공극율의 평균값과 변동계수는 12.5%, 58.3% 이고 대공극흐름율의 평균값과 변동계수는 64.5%, 24%이다. 이는 유효 대공극율과 대공극흐름율의 비율은 기여사면 면적이 증가할수록 증가하였다. 이는 대공극을 통한 물 이송 능력이 원두부로 갈수록 증가한다는 것을 보여주고 있다.e, taurine, methionine, phenylalanine은 함량(含量)이 적었다. 5. 일건(日乾)중 총유리아미노산의 변화(變化)는 생시료(生試料)의 경우 2,041.2 mg%였으나 1일(日) 건조(乾燥) 후는 1,784.0 mg%로 감소(減少)하다가 그 이후 계속 증가(增加)하여 20일(日) 건조(乾燥) 후는 5,277.0 mg%였다. 6. 일건(日乾)중 leucine, isoleucine, valine은 대체로 증가(增加)하는 경향(傾向)을 나타내었으나 aspartic acid, proline, taurine은 대체로 감소(減少)하는 경향(傾向)을 나타내었다. 436.59mg%로 가장 많았고 군유산(軍有山) 차엽(茶葉)이 146.94mg%로 가장 적었으며 일반차엽(一般茶葉)의 평균치(平均値)는 264.59mg%, 용장(龍欌) 차엽(茶葉)이 223.10mg%, Yabukita 차엽(茶葉)이 256.49mg%였다. 7) 이상(以上)의 결과(結果)를 종합(綜合)할 때 용장(龍欌) 차엽(茶葉)은 일반차엽(一般茶葉)과 형질(形質) 뿐만 아니라, 성분(成分)도 다르므로 품종(品種)이 다른 수종(樹種)으로 추정(推定)되며 와운(臥雲) 차엽(茶葉)은 일반차엽(一般茶葉)과 형질(形質)은 다르나 성분상(成分上)의 비슷한 점으로 보아 동일계통(同一系統)의 변이(變異)된 대엽종(大葉種)으로 추정(推定)된다.5(${\pm}0.77$0.77) % 의 오차로 크게 감소하였다. 결론: 방사선이 통과하는 경로에 불균질조직인 폐가 존재할 경우에도 불균질조직에 대하여 조직의 밀도를 이용하여 보정하는 방법을 사용하여 투과선량으로부터 종양선량을 계산할 수 있음을 알 수 있었다.X>로 평균$43.26{\m

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Analysis of the Effect of Forest Fires on the Mineralogical Characteristics of Soil (산불 영향에 따른 토층의 광물학적 특성 변화에 관한 연구)

  • Man-Il Kim;Chang-Oh Choo
    • The Journal of Engineering Geology
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    • v.33 no.1
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    • pp.69-83
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    • 2023
  • Forest fires increase the risk of subsequent soil erosion and mass movement in burned areas, even under rainfall conditions below landslide alert thresholds, by destroying plants and vegetation and causing changes to soil properties. These effects of forest fires can alter runoff in burned areas by altering soil composition, component minerals, soil water repellency, soil mass stability, and soil fabric. Heat from forest fires not only burns shallow organic matter and plants but also spreads below the surface, affecting soil constituents including minerals. This study analyzed X-ray diffraction and physical properties of topsoil and subsoil obtained from both burned and non-burned areas to identify the composition and distribution of clay minerals in the soil. Small amounts of mullite, analcite, and hematite were identified in burned soils. Vermiculite and mixed-layer illite/vermiculite (I/V) were found in topsoil samples from burned areas but not in those from non-burned areas. These findings show changes in soil mineral composition caused by forest fires. Expansive clay minerals increase the volume of soil during rainfall, degrading the structural stability of slopes. Clay minerals generated in soil in burned areas are therefore likely to affect the long-term stability of slopes in mountainous areas.

Railway Object Recognition Using Mobile Laser Scanning Data (모바일 레이저 스캐닝 데이터로부터 철도 시설물 인식에 관한 연구)

  • Luo, Chao;Jwa, Yoon Seok;Sohn, Gun Ho;Won, Jong Un;Lee, Suk
    • Journal of Korea Society of Industrial Information Systems
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    • v.19 no.2
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    • pp.85-91
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    • 2014
  • The objective of the research is to automatically recognize railway objects from MLS data in which 9 key objects including terrain, track, bed, vegetation, platform, barrier, posts, attachments, powerlines are targeted. The proposed method can be divided into two main sub-steps. First, multi-scale contextual features are extracted to take the advantage of characterizing objects of interest from different geometric levels such as point, line, volumetric and vertical profile. Second, by considering contextual interactions amongst object labels, a contextual classifier is utilized to make a prediction with local coherence. In here, the Conditional Random Field (CRF) is used to incorporate the object context. By maximizing the object label agreement in the local neighborhood, CRF model could compensate the local inconsistency prediction resulting from other local classifiers. The performance of proposed method was evaluated based on the analysis of commission and omission error and shows promising results for the practical use.