• Smart Structures and Systems
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• 제12권3_4호
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• pp.251-269
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• 2013

Measurement of deflections of certain bridges is usually hampered by corruption of the GPS signal by multipath associated with passing vehicles, resulting to unrealistically large apparent displacements. Field data from the Gorgopotamos train bridge in Greece and systematic experiments revealed that such bias is due to superimposition of two major effects, (i) changes in the geometry of satellites because of partial masking of certain satellites by the passing vehicles (this effect can be faced with solutions excluding satellites that get temporarily blocked by passing vehicles) and (ii) dynamic multipath caused from reflection of satellite signals on the passing trains, a high frequency multipath effect, different from the static multipath. Dynamic multipath seems to have rather irregular amplitude, depending on the geometry of measured satellites, but a typical pattern, mainly consisting of a baseline offset, wide base peaks correlating with the sequence of main reflective surfaces of the vehicles passing next to the antenna. In cases of limited corruption of GPS signal by dynamic multipath, corresponding to scale distortion of the short-period component of the GPS waveforms, we propose an algorithm which permits to reconstruct the waveform of bridge deflections using a weak fusion of GPS and RTS data, based on the complementary characteristics of the two instruments. By application of the proposed algorithm we managed to extract semi-static and dynamic displacements and oscillation frequencies of a historical railway bridge under train loading by using noisy GPS and RTS recordings. The combination of GPS and RTS is possible because these two sensors can be fully collocated and have complementary characteristics, with RTS and GPS focusing on the long- and short-period characteristics of the displacement, respectively.

• 한국지리정보학회지
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• 제20권1호
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• pp.85-97
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• 2017

최근 전 세계적으로 지구온난화, 기후변화 등으로 태풍, 지진해일, 폭염 및 폭설 등과 같은 수재해의 피해가 대규모로 확대되었다. 특히 태풍으로 인한 경제적 손실은 1960년대 이후 경제개발 및 도시화로 인한 인구과밀지역에서 크게 나타나고 있다. 본 연구에서는 2016년 한반도를 강타한 태풍 차바를 비롯하여 태풍 루사('02), 태풍 매미('03) 및 태풍 볼라벤('12)에 대하여 한반도 내습 전 후 촬영된 위성 현황에 대하여 조사 및 분석을 실시한 결과, 기존 위성을 활용함에 있어 한계를 느끼게 되었다. 국내 위성은 주로 기상, 해양, 지형 및 통신 등의 목적으로 개발 운영됨으로 물 관리 및 수재해 대응에 필요한 시 공간적 데이터 관측 정보가 많이 부족하였다. 때문에 국외 위성으로 범위를 넓혀 조사를 실시하였으며, 이에 GMS, TRMM, COMS 및 GPM 등의 위성 자료를 수집하였다. 향후 한반도에 빠르고 정확한 수재해 정보를 얻기 위하여 시 공간적 데이터 분석단위를 만족시키는 수자원 위성의 개발 및 적용이 필요하다.

• Journal of Astronomy and Space Sciences
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• 제28권4호
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• pp.299-304
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• 2011

As more satellites are designed to downlink their observed image data through the X-band frequency band, it is inevitable that the occupied bandwidth of a target satellite will overlap with that of other X-band downlink satellites. For sun-synchronized low earth orbit satellites, in particular, it can be expected that two or more satellites be placed within the looking angle of a ground station antenna at the same time. Due to the overlapping in the frequency band, signals transmitted from the adjacent satellites act as interferers, leading to degraded link performance between target satellite and ground station. In this paper, link analysis was initiated by modeling the radiation pattern of ground station antenna through a validated Jet Propulsion Laboratory peak envelope model. From the relative antenna gain depending on the offset angle from center axis of maximum antenna directivity, the ratio of received interference signal level to the target signal level was calculated. As a result, it was found that the degradation increased when the offset angle was within the first point of radiation pattern. For a 7.3 m antenna, serious link degradation began at an offset angle of 0.4 degrees. From this analysis, the link performance of the coming satellite passes can be recognized, which is helpful to establish an operating procedure that will prevent the ground station from receiving corrupted image data in the event of a degraded link.

• Journal of Astronomy and Space Sciences
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• 제36권3호
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• pp.187-197
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• 2019

The Optical Wide-field patroL-Network (OWL-Net) is a Korean optical space surveillance system used to track and monitor objects in space. In this study, the characteristics of four Initial Orbit Determination (IOD) methods were analyzed using artificial observational data from Low Earth Orbit satellites, and an appropriate IOD method was selected for use as the initial value of Precise Orbit Determination using OWL-Net data. Various simulations were performed according to the properties of observational data, such as noise level and observational time interval, to confirm the characteristics of the IOD methods. The IOD results produced via the OWL-Net observational data were then compared with Two Line Elements data to verify the accuracy of each IOD method. This paper, thus, suggests the best method for IOD, according to the properties of angles-only data, for use even when the ephemeris of a satellite is unknown.

• Journal of Astronomy and Space Sciences
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• 제34권1호
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• pp.19-30
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• 2017

The optical wide-field patrol network (OWL-Net) is a Korean optical surveillance system that tracks and monitors domestic satellites. In this study, a batch least squares algorithm was developed for optical measurements and verified by Monte Carlo simulation and covariance analysis. Potential error sources of OWL-Net, such as noise, bias, and clock errors, were analyzed. There is a linear relation between the estimation accuracy and the noise level, and the accuracy significantly depends on the declination bias. In addition, the time-tagging error significantly degrades the observation accuracy, while the time-synchronization offset corresponds to the orbital motion. The Cartesian state vector and measurement bias were determined using the OWL-Net tracking data of the KOMPSAT-1 and Cryosat-2 satellites. The comparison with known orbital information based on two-line elements (TLE) and the consolidated prediction format (CPF) shows that the orbit determination accuracy is similar to that of TLE. Furthermore, the precision and accuracy of OWL-Net observation data were determined to be tens of arcsec and sub-degree level, respectively.

• Journal of Positioning, Navigation, and Timing
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• 제11권4호
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• pp.297-304
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• 2022

The models used for ionosphere error correction in positioning using Global Navigation Satellite System (GNSS) are representatively Klobuchar model and NeQuick model. Although these models can correct the ionosphere error in real time, the disadvantage is that the accuracy is only 50-60%. In this study, a method for polynomial modeling of Global Ionosphere Map (GIM) which provides Vertical Total Electron Content (VTEC) in grid type was studied. In consideration of Ionosphere Pierce Points (IPP) of satellites with a receivable elevation angle of 15 degrees or higher on the Korean Peninsula, the target area for model generation and provision was selected, and the VTEC at 88 GIM grid points was modeled as a polynomial. The developed VTEC polynomial model shows a data reduction rate of 72.7% compared to GIM regardless of the number of visible satellites, and a data reduction rate of more than 90% compared to the Slant Total Electron Content (STEC) polynomial model when there are more than 10 visible satellites. This VTEC polynomial model has a maximum absolute error of 2.4 Total Electron Content Unit (TECU) and a maximum relative error of 9.9% with the actual GIM. Therefore, it is expected that the amount of data can be drastically reduced by providing the predicted GIM or real-time grid type VTEC model as the parameters of the polynomial model.

• 대한원격탐사학회지
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• 제37권5_1호
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• pp.927-938
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• 2021

편대 비행하는 저궤도위성에는 비슷한 크기의 비중력 섭동이 일정한 시간 차이를 두고 가해진다. 이러한 시간상관관계를 이용하면 한 개 위성의 가속도계에서 측정된 가속도 값으로 다른 편대비행 저궤도위성의 비중력가속도를 추정할 수 있다. 편대비행 저궤도위성인 GRACE 및 GRACE-FO 위성에서 한 개 위성의 가속도계 데이터를 사용할 수 없는 기간이 존재하는데, 앞서 기술된 시간 이식 기법이 JPL (Jet Propulsion Laboratory)에서 공식적으로 가속도계 데이터 복원 시 사용되고 있다. 본 논문에서는 기존의 시간 이식 기법의 가속도계 추정 정확도를 개선하기 위하여 신경망 (neural network; NN) 모델 기반 편대비행 저궤도위성 가속도계 데이터 추정 방법을 제안하였다. 시간 이식 기법은 위성의 위치 및 우주환경요소 등을 반영할 수 없지만, NN 모델은 이를 모델 입력으로 사용할 수 있으므로 예측 정확도를 높일 수 있다. 1개월간 NN 모델을 사용하여 가속도계 예측 시험을 수행하고 시간 이식 기법과 예측 정확도를 비교하였다. 그 결과 along-track 및 radial 방향에서 NN모델의 가속도계 데이터의 예측 오차는 시간 이식 기법에 비해 각각 55.0%, 40.1% 감소하였다.

• 한국농림기상학회:학술대회논문집
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• 한국농림기상학회 2001년도 춘계 학술발표논문집
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• pp.43-48
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• 2001

Many applications in the areas of agricultural, hydrological and environmental resource management require data over very large areas and with a high imaging frequency - monitoring crop growth, water stress, seasonal wetland flooding and natural vegetation development. This precludes the use of fine resolution data (Landsat, Spot) on the grounds of cost, accessibility and low imaging frequency. Meteorological satellites have the potential to fill this need, given their very wide spatial coverage, and high repeat imaging. The Remote Sensing Unit (RSU) at the Zambia Meteorological Department routinely receives, processes and archives imagery from both Meteosat and NOAA AVHRR satellites. Here I wish to present some examples of applications of these data sets that arise from the RSU work - relationships between rainfall and vegetation development as assessed by satellite, derived information and seasonal patterns of flooding in the Barotse floodplain and the Kafue flats. I also wish to outline ways in which a more widespread use of this data by the Zambian institutions canbe achieved.

• 대한원격탐사학회지
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• 제26권6호
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• pp.653-664
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• 2010

The land surface reflectance is a key parameter influencing the climate near the surface. Therefore, it must be determined with sufficient accuracy for climate change research. In particular, the characteristics of the bidirectional reflectance distribution function (BRDF) when using earth observation system (EOS) are important for normalizing the reflected solar radiation from the earth's surface. Also, wide swath satellites like SPOT/VGT (VEGETATION) permit sufficient angular sampling, but high resolution satellites are impossible to obtain sufficient angular sampling over a pixel during short period because of their narrow swath scanning. This gives a difficulty to BRDF model based reflectance normalization of high resolution satellites. The principal objective of the study is to add BRDF modeling of high resolution satellites and to supply insufficient angular sampling through identifying BRDF components from SPOT/VGT. This study is performed as the preliminary data for apply to high-resolution satellite. The study provides surface parameters by eliminating BRD effect when calculated biophysical index of plant by BRDF model. We use semi-empirical BRDF model to identify the BRD components. This study uses SPOT/VGT satellite data acquired in the S1 (daily) data. Modeled reflectance values show a good agreement with measured reflectance values from SPOT satellite. This study analyzes BRD effect components by using the NDVI(Normalized Difference Vegetation Index) and the angle components such as solar zenith angle, satellite zenith angle and relative azimuth angle. Geometric scattering kernel mainly depends on the azimuth angle variation and volumetric scattering kernel is less dependent on the azimuth angle variation. Also, forest from land cover shows the wider distribution of value than cropland, overall tendency is similar. Forest shows relatively larger value of geometric term ($K_1{\cdot}f_1$) than cropland, When performed comparison between cropland and forest. Angle and NDVI value are closely related.

• 대한원격탐사학회지
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• 제28권1호
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• pp.69-77
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• 2012

표면도달일사량은 전 지구시스템에 대한 기후 연구에 가장 중요한 요소 중 하나다. 기후 연구에서는 동일 지역을 관측하는 두 개 혹은 그 이상의 위성자료로부터 넓은 공간적 범위를 가지는 장기간의 데이터를 사용하는 것이 필요하다. 시간적 연속성을 가지는 서로 다른 위성으로부터 산출 된 표면도달일사량의 연속성과 일관성을 향상시키는 것은 매우 중요하다. 본 연구에서는 물리적 모델을 이용하여 GOES-9과 MTSAT-1R 위성의 중복 관측 기간 동안의 표면도달일사량을 산출하고, 두 위성의 채널자료와 실측치 비교를 통해 위성간의 연속성과 일관성을 향상시키는 방법을 연구하였다. 두 위성의 적외 채널 온도는 매우 잘 일치하는 경향을 보였다 : RMSE=5.595 Kelvin; Bias=2.065 Kelvin. 반면에, 가시채널은 다른 값의 분포를 보였지만 비슷한 경향을 보였다. 그리고 두 위성으로부터 산출 된 표면도달일사량은 실측치와 일치성이 낮았다. 표면도달일사량의 품질 향상을 위해 구름감쇠계수 조정을 통해 표면도달일사량 산출물을 재생산하였다. 그리고 채널 자료의 비교 분석을 통해 GOES-9 위성을 위한 구름감쇠계수를 생산하였다. 그 결과, 구름 효과를 고려한 GOES-9의 표면도달일사량 산출물은 MTSAT-1R과 실측치에 대해 매우 높은 일치성을 보였다 : RMSE=$83.439W\;m^{-2}$; Bias=$27.296W\;m^{-2}$. 구름감쇠계수 조정을 통해 향상 된 정확도는 두 개 이상의 위성으로부터 산출 된 표면도달일사량 산출물의 연속성과 일관성을 향상 시킬 수 있을 것이다.