• Journal of Ecology and Environment
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• 제32권2호
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• pp.67-73
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• 2009

Soil $CO_2$ efflux can vary markedly in magnitude over both time and space, and understanding this variation is crucial for the correct measurement of $CO_2$ efflux in ecological studies. Although considerable research has quantified temporal variability in this flux, comparatively little effort has focused on its spatial variability. To account for spatial heterogeneity, we must be able to determine the number of sampling points required to adequately estimate soil $CO_2$ efflux in a target ecosystem. In this paper, we report the results of a study of the number of sampling points required for estimating soil $CO_2$ efflux using a closed-dynamic chamber in young and old Japanese cedar plantations in central Japan. The spatial heterogeneity in soil $CO_2$ efflux was significantly higher in the mature plantation than in the young stand. In the young plantation, 95% of samples of 9 randomly-chosen flux measurements from a population of 16 measurements made using 72-$cm^2$ chambers produced flux estimates within 20% of the full-population mean. In the mature plantation, 20 sampling points are required to achieve means within $\pm$ 20% of the full-population mean (15 measurements) for 95% of the sample dates. Variation in soil temperature and moisture could not explain the observed spatial variation in soil $CO_2$ efflux, even though both parameters are a good predictor of temporal variation in $CO_2$ efflux. Our results and those of previous studies suggest that, on average, approximately 46 sampling points are required to estimate the mean and variance of soil $CO_2$ flux in temperate and boreal forests to a precision of $\pm$ 10% at the 95% confidence level, and 12 points are required to achieve a precision of $\pm$ 20%.

• 한국농림기상학회지
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• 제4권3호
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• pp.175-196
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• 2002

The increase of meteorological uncertainty and unstable fluctuation of its behavior due to the global warming affect the temporal variation and spatial distribution of water resources and water use patterns in agriculture. There have been steady efforts to understand hydrological components and deal with such water related problems. This paper reviews firstly, the future effect of water resources due to climate changes, secondly, recent progress for precipitation, evapotranspiration, soil moisture, and thirdly, GIS/RS based integrated information systems conducted by both researchers and government ministries. There should be continuous studies and investments to cope with climate changes, and to accomplish sustainable development with the help of agricultural water resources. Some research topics were suggested to attempt with substantial contents considering our present capability and situation.

• Journal of Ecology and Environment
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• 제44권4호
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• pp.229-240
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• 2020

Background: Genus Quercus is a successful group that has occupied the largest area of forest around the world including South Korea. The acorns are an important food source for both wild animals and humans. Although the reproductive characteristics of this genus are highly variable, it had been rarely studied in South Korea. Therefore, in Seoraksan and Odaesan National Parks (i) we measured the acorn production of Quercus mongolica, an overwhelmingly dominant species in South Korea, for 3 years (2017-2019), (ii) evaluated the spatial-temporal variation of acorn production, and (iii) analyzed the effects of oak- and site-related variables on the acorn production. Results: The annual acorn production of Q. mongolica increased 36 times from 1.2 g m-2 in 2017 to 43.2 g m-2 in 2018, and decreased to 16.7 g m-2 in 2019, resulting in an annual coefficient of variation of 104%. The coefficient of spatial variation was high and reached a maximum of 142%, and the tree size was the greatest influencing factor. That is, with an increase in tree size, acorn production increased significantly (2018 F = 16.3, p < 0.001; 2019 F = 8.2, p < 0.01). Elevation and slope also significantly affected the production in 2019. However, since elevation and tree size showed a positive correlation (r = 0.517, p < 0.001), the increase in acorn production with increasing elevation was possibly due to the effect of tree size. The acorn production of Odaesan for 3 years was 2.2 times greater than that of Seoraksan. This was presumed that there are more distribution of thick oak trees and more favorable site conditions such as deep soil A-layer depth, high organic matter, and slower slopes. Conclusion: As reported for other species of the genus Quercus, the acorn production of Q. mongolica showed large spatial and annual variations. The temporal variability was presumed to be a weather-influenced masting, while the spatial variability was mainly caused by oak tree size.

• 한국정보디스플레이학회:학술대회논문집
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• 한국정보디스플레이학회 2000년도 제1회 학술대회 논문집
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• pp.165-166
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• 2000

Spatial independence and temporal stability of flat-panel LCD monitor, LG StudioWorks 500LC, were evaluated. The luminance and chromaticity of stimulus color were measured according to the variation of the size, background color, and location on the screen. The spatial independence at center location is very good and not a limiting factor in its colorimetric characterization, however the spatial non-uniformity is a little severe. The warmup time to stabilize after initial power is about 100 minutes and short-term variance of white stimulus is within 0.1 ${\Delta}E^*\;_{ab}$.

• 한국지역지리학회지
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• 제18권4호
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• pp.414-432
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• 2012

지가는 도시의 구조와 변화를 읽어 낼 수 있는 공간 텍스트이다. 본 연구의 목적은 대구시를 대상으로 상세한 공간 및 시간 해상도를 갖는 지가의 시공간적 변화를 탐색적으로 분석하여 공간구조 특성과 변동을 파악하는 것이다. 이를 위하여 1995년부터 2011년까지 2년 단위 표준지 공시지가를 이용하여 지가면(land value surface)을 생성하였다. 시기별 지가분포 및 변동률 패턴을 비교하여 지구적 혹은 국가적 수준의 경기변동 및 정책변화, 국지적 수준의 지역개발과 관련된 의사결정이 도시공간구조 변화에 어떻게 투영되었는지 파악하였다. 또한 음지수모형을 이용하여 도심으로부터의 거리 변수가 지가 분포의 공간적 변이를 얼마나 설명하는지를 분석하여 교외화 추세와 도시구조의 다핵화 경향을 파악하였다. 상이한 수준의 공간 의사결정을 반영하는 지가를 이용한 도시 분석은 도시 내부구조 변화에 대한 보다 상세한 이해를 제공할 뿐만 아니라 도시 및 지역개발 정책을 수립하고 그 영향을 평가하는데 유용한 정보를 제공할 것으로 기대한다.

• 한국물환경학회지
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• 제23권6호
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• pp.872-880
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• 2007

For effective management of sediment-related diffuse pollution, it is of utmost importance to estimate spatial variation of sediment transport processes within a catchment. A mathematical model can play a critical role in estimating sediment transport processes at the catchment scale provided that the model structure is appropriate for representing major sediment transport processes of the catchment of interest. This paper introduces a distributed catchment model River Basin Water Quality Simulator (RBWQS) and presents some results of its application to a small rural catchment in Korea. The model has been calibrated and validated for a wet period using hourly hydrographs and sediment concentrations observed at the catchment outlet. Based on the model simulation results, the spatial variation of sediment transport processes across the catchment and the effects of paddy fields and small reservoirs on hydrology and sediment transport have been analyzed at the catchment scale.

• Journal of Positioning, Navigation, and Timing
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• 제2권2호
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• pp.109-114
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• 2013

The vulnerability of GPS to interference signals was reported in the early 2000s, and an eLORAN system has been suggested as a backup navigation system for replacing the existing GPS. Thus, relevant studies have been carried out in the United States, Europe, Korea, etc., and especially, in Korea, the research and development is being conducted for the FOC of the eLORAN system by 2018. The required performance of the eLORAN system is to meet the HEA performance, and to achieve this, it is essential to perform ASF correction based on a dLORAN system. ASF can be divided into temporal ASF, nominal ASF, and spatial ASF. Spatial ASF is the variation due to spatial characteristics, and is stored in an eLORAN receiver in the form of a premeasured map. Temporal ASF is the variations due to temporal characteristics, and are transmitted from a dLORAN site to a receiver via LDC. Unlike nominal ASF that is obtained by long-term measurement (over 1 year), temporal ASF changes in a short period of time, and ideally, real-time correction needs to be performed. However, it is difficult to perform real-time correction due to the limit of the transmission rate of the LDC for transmitting correction values. In this paper, to determine temporal ASF correction frequency that shows satisfactory performance within the range of the limit of data transmission rates, relative variations of temporal ASF in summer and winter were measured, and the stability of correction values was analyzed using the average of temporal ASF for a certain period.

• 한국위성정보통신학회논문지
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• 제6권2호
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• pp.41-45
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• 2011

본 논문에서는 컬러 화재영상에 포함된 화염의 색상 분석과 시공간적 특징 분석을 통하여 신뢰성 높은 화재 판정 조건을 제시한다. 이를 위하여 컬러영상에서 화염을 판정하는 컬러속성으로서 Y-휘도 성분과 Cr-색차 성분을 조합한 문턱치를 도출하고 화염 후보영역을 선정하였다. 선정된 화염 후보영역에 대해서는 화염의 공간적인 질감분석과 시간적인 동적변화를 DCT와 프레임간 휘도성분 변화량을 분석하여 최종 화염 판정 기준으로 제시하였다. 컴퓨터 모의실험을 통하여 제시한 화염 판정 조건의 신뢰성과 실용성을 검증하였다.

• 대한원격탐사학회지
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• 제27권4호
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• pp.403-410
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• 2011

연안 환경에 대한 효과적인 관측을 위해서는 높은 주기 및 공간 해상도의 지속적인 관측이 필요하다. 지상에 설치한 기기로부터 이루어지는 원격 관측은 소수의 현장 기기 개수로는 관측할 수 없는 넓은 범위의 해역을 통시에 관측할 수 있고 또한 높은 빈도의 지속적인 관측이 가능하다. 본 연구에서는 연안 환경에 대한 대표적인 지상 원격 관측 기기인 마린 레이다와 카메라 시스템의 활용에 대하여 고찰해본다. 마린 레이다는 시간적으로 연속된 레이다 영상으로부터 파수 스펙트럼을 계산하고 이를 통합 적분하고 조정 전달함수를 적용하여 시간에 따른 주파수 스펙트럼을 산출할 수 있다. 또한 시간에 따른 파랑 레이다 영상을 평균함으로서 쇄파대와 이안류 그리고 연안사주의 위치 등에 대한 분석도 기능하다. 카메라 시스템은 해안선의 변화뿐만 아니라 오염 등으로 인하여 해안에서 발생하는 거품 발생량의 변화에 대한 분석을 할 수 있다. 빗각 촬영된 거품 영상을 기하 보정 후 거품부분을 따로 추출함으로서 거품량에 대한 정량적인 분석이 가능하다. 위의 두 기기는 각기 그 특성이 다른 센서로서 이를 동시에 활용하면 연안환경 관측에 있어 시너지 효과를 얻을 수 있다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume I
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• pp.450-453
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• 2006

Hydrographic data including particulate organic carbon (POC) from the Northeastern Gulf of Mexico (NEGOM) study were used along with remotely sensed data obtained from NASA's Sea-viewing Wide Field-of-view Sensor (SeaWiFS) to develop POC algorithms to estimate POC concentration based on empirical and model-based principal component analysis (PCA) methods. In Case I and II waters empirical maximized simple ratio (MSR) and model-based PCA algorithms using full wavebands (blue, green and red wavelengths) provide more robust estimates of POC. The predicted POC concentrations matched well the spatial and seasonal distributions of POC measured in situ in the Gulf of Mexico. The ease in calculating the MSR algorithm compared to PCA analysis makes MSR the preferred algorithm for routine use. In order to determine the inter-annual variations of POC, MSR algorithms applied to calculate 100 monthly mean values of POC concentrations (September 1997-December 2005). The spatial and temporal variations of POC and sea surface temperature (SST) were analyzed with the empirical orthogonal function (EOF) method. POC estimates showed inter-annual variation in three different locations and may be affected by El $Ni{\tilde{n}}o/Southern$ Oscillation (ENSO) events.