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      • KCI등재

        강원도지방 소나무 동령임분의 최대임목본수 및 고사모델

        이우균,배상원,서정호 한국임학회 2000 한국산림과학회지 Vol.89 No.5

        Sterba's theory that stem number maintaining maximum basal area per ha is maximum stem number of a stand, had been applied to data from 103 temporary plots in even-aged Pinus densiflora stands in Kangwon province, Korea and a maximum stem number and mortality model was prepared. DBH growth model which estimates dbh with the independent variables of stem number per ha and dominant height shows the good statistical performance, and explains well differences in dbh growth that would be caused by stem number per ha and dominant height. Basal area model derived from dbh growth model also explains well differences in basal area according to stem number per ha and dominant height. The maximum stem number curve, which is derived from stem number per ha at maximum basal area for dominant height and dbh, represents well the upper range of stem number per ha observed. And maximum stand density index derived from the maximum stem number model for dbh could be used for the index of maximum potential density of a stand. The maximum stem number model and maximum stand density index in this study were not based on stand data with maximum density but based on the temporary data from stands with various density. This maximum stem number model can be applied to the estimation of mortality and maximum potential volume.

      • KCI등재

        Forest plot volume estimation using National Forest Inventory, Forest Type Map and Airborne LiDAR data

        이우균,박태진,이종열,변우혁,곽두안,Guishan Cui,김문일,정래선,Eko Pujiono,오수현,변정연,남기준,조현국,이정수,정동준,김성호 한국산림과학회 2012 Forest Science And Technology Vol.8 No.2

        The importance of estimating forest volume has been emphasized by increasing interest on carbon sequestration and storage which can be converted from volume estimates. With importance of forest volume, there are growing needs for developing efficient and unbiased estimation methods for forest volume using reliable data sources such as the National Forest Inventory (NFI) and supplementary information. Therefore, this study aimed to develop a forest plot volume model using selected explanatory variables from each data type (only Forest Type Map (FTM), only airborne LiDAR and both datasets), and verify the developed models with forest plot volumes in 60 test plots with the help of the NFI dataset. In linear regression modeling, three variables (LiDAR height sum, age, and crown density class) except diameter class were selected as explanatory independent variables. These variables generated the four forest plot volume models by combining the variables of each data type. To select an optimal forest plot volume model, a statistical comparing process was performed between four models. In verification, Model no. 3 constructed by both FTM and airborne LiDAR was selected as an optimal forest plot volume model through comparing root mean square error (RMSE) and coefficient of determination (R^2). The selected best performance model can predict the plot volume derived from NFI with RMSE and R2 at 50.41 (m^3) and 0.48, respectively.

      • KCI등재

        원격탐사와 지리정보시스템의 산림분야 활용

        이우균,김문일,송철호,이슬기,차성은,김강선,Lee, Woo-Kyun,Kim, Moonil,Song, Cholho,Lee, Sle-gee,Cha, Sungeun,Kim, GangSun 한국국토정보공사 공간정보연구원 2016 지적과 국토정보 Vol.46 No.2

        산림은 우리나라 토지피복 면적의 64%에 해당하는 넓은 면적을 차지한다. 이와 같이 넓은 면적의 산림을 조사, 모니터링, 관리하기 위해서는 원격탐사 및 지리정보시스템 기술이 필수적이다. 위성영상의 분광반사 특성을 이용하여 임상 및 수종분류가 가능하며, 이를 통해 임상도를 제작할 수 있다. 3차원 자료인 LiDAR를 이용하여 개체목의 위치와 수고 측정, 이를 통해 바이오매스와 탄소량 추정이 가능하다. 그 외에도 대상물의 반사특성을 이용해서 각종 지수들이 추출될 수 있는데, 예를 들어 식생지수와 표면토양지수 등을 통해 식생의 활력도와 산림 황폐화 정도를 파악 할 수 있다. 이러한 식생지수들의 변이를 파악하여 소나무 재선충병, 참나무 시들음병 등의 조기탐지 및 관리도 가능하다. 또한 A/R CDM, REDD+ 등 최근 기후변화 대응 사업에 있어서 원격탐사는 사업성 판단과 이산화탄소 흡수 및 저장량을 산정하는데 중요한 역할을 하고 있다. 기후변화 취약성 평가에서는 지리정보시스템의 시공간자료를 이용하여 국가 및 지자체 단위의 취약성이 시공간적으로 평가되고 있다. 또한, 시공간자료를 영향변수로 추가시킨 각종 모델을 통해 산림생장, 입목고사, 산사태 및 산불 등의 예측이 시공간적으로 이루어 질 수 있다. Forest accounts for almost 64 percents of total land cover in South Korea. For inventorying, monitoring, and managing such large area of forest, application of remote sensing and geographic information system (RS/GIS) technology is essential. On the basis of spectral characteristics of satellite imagery, forest cover and tree species can be classified, and forest cover map can be prepared. Using three dimensional data of LiDAR(Light Detection and Ranging), tree location and tree height can be measured, and biomass and carbon stocks can be also estimated. In addition, many indices can be extracted using reflection characteristics of land cover. For example, the level of vegetation vitality and forest degradation can be analyzed with VI (vegetation Index) and TGSI (Top Grain Soil Index), respectively. Also, pine wilt disease and o ak w ilt d isease c an b e e arly detected and controled through understanding of change in vegetation indices. RS and GIS take an important role in assessing carbon storage in climate change related projects such as A/R CDM, REDD+ as well. In the field of climate change adaptation, impact and vulnerability can be spatio-temporally assessed for national and local level with the help of spatio-temporal data of GIS. Forest growth, tree mortality, land slide, forest fire can be spatio-temporally estimated using the models in which spatio-temporal data of GIS are added as influence variables.

      • KCI등재

        산림시업(山林施業)의 지속성을 위한 동적 지역산림경영모델 : 산림생장 및 경제적 여건을 고려한 considering forest growth and economical conditions

        이우균 한국산림경제학회 1995 산림경제연구 Vol.3 No.1

        A dynamic regional forest management model has been developed to ensure the sustainable forest practice in a regional forest. The model was composed of two models ; 1) a forest planning model, 2) a dynamic growth model. The forest planning model makes a forest working plan, considering economical conditions as well as forest growth. In the model, a working kind by the forest age and working priority order based on the forest growth are ;allocated to the each compartment. According to the priority order, working compartments are then temporarily selected with the working history of the compartment considered. Finally, real working compartments are determined under the given amount of forest investment. The dynamic growth and yield model enables the user to simulate and project the development process of stands under various working kinds, intensities and cycles. Under the planned working kinds and intensities, this model estimates the produced volume and predicts the stand growth to the next plan year. Using the developed model, an optimum working and investment level for the regional forest can be established. The model would be suitable for the regional forest planning and the decision-making in the forest subsidy or support policy

      • KCI등재

        Lorenz 곡선에 근거한 임분구조지수추정

        이우균 한국임학회 1997 한국산림과학회지 Vol.86 No.2

        This study presents the method to quantify the stand structure diversity or homogeneity. Gadow's dbh differentiation(Durchmesserdifferenzierung) is introduced which quantifies the horizontal stand structure by the ratio of the dbh between subject tree and neighbour trees. And new stand structure diversity index based on Lorenz curve, which is made by ratio of tree number and basal area or volume by dbh class, is presented. The horizontal stand structure index based on Lorenz curve has a value from 0 to 1 as Gadow's index, and approximates to 1 if the stand structure has high diversity. In the comparative analysis for performance, the new stand structure index based on Lorenz curve is considered to compare with the Gadow's index for describing the stand structure.

      • KCI등재

        Impact of thinning intensity on the diameter and height growth of Larix kaempferi stands in central Korea

        이우균,김문일,김유승,임철희,송철호,박태진,손요환,손영모 한국산림과학회 2016 Forest Science And Technology Vol.12 No.2

        The objective of this study was to examine the effect of thinning intensity on the diameter at breast height (DBH) and height growth of Japanese larch (Larix kaempferi) stands located in the Yangpyeong-gun region of central Korea. In addition, a growth model was developed from the thinning practice. Four sample plots were prepared separately and thinned at different intensities (0%, 10%, 20%, and 40% cutting based on the number of trees, respectively) in 1997. DBH and height of individual trees were measured independently in 1997 and 2009. The mean DBH for LT00, LT01, LT02, and LT03 increased from 12.0, 12.1, 12.0, and 12.7 cm in 1997 to 15.3, 16.1, 16.2, and 17.1 cm in 2009, respectively. In addition, the mean height for each plot increased from 11.9, 13.5, 13.6, and 12.0 m in 1997 to 17.0, 17.0, 17.1, and 18.1 m in 2009, respectively. Thinning intensity was found to have a significant positive effect on DBH growth (P < 0.05), whereas there was no definite effect on height growth (P > 0.05). This result can be attributed to the fact that thinning promotes DBH growth by reducing horizontal-spacing competition between neighboring trees for securing sunlight and growing space. The developed growth model with our results showed a high degree of reliability (R2 D 0.86) and could generalize the thinning intensity based on DBH growth.

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