http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
VIIRS와 MODIS 자료를 활용한 중분류 토지이용별 알베도 분석
이용관,정지훈,장원진,김진욱,김성준,Lee, Yonggwan,Chung, Jeehun,Jang, Wonjin,Kim, Jinuk,Kim, Seongjoon 대한원격탐사학회 2022 大韓遠隔探査學會誌 Vol.38 No.6
This study was to analyze the change in albedo by level-2 land cover map for 20 years(2002-2021) using MODerate resolution Imaging Spectroradiometer (MODIS) data. Also, the difference from the MODIS data was analyzed using the 10-year (2012-2021) data of Visible Infrared Imaging Radiometer Suite (VIIRS). For the albedo data of MODIS and VIIRS, daily albedo data, MCD43A3 and VNP43IA, of 500 m spatial resolution of sinusoidal tile grid produced by Bidirectional Reflectance Distribution Function (BRDF) model were prepared for the South Korea range. Reprojection was performed using the code written based on Python 3.9, and the nearest neighbor was applied as the resampling method. White sky albedo and black sky albedo of shortwave were used for analysis. As a result of 20-year albedo analysis using MODIS data, the albedo tends to rise in all land use. Compared to the 2000s (2002-2011), the average albedo of the 2010s (2012-2021) showed the most significant increase of 0.0027 in the forest area, followed by the grass increase of 0.0024. As a result of comparing the albedo of VIIRS and MODIS, it was found that the albedo of VIIRS was larger from 0.001 to 0.1, which was considered to be due to differences in the surface reflectivity according to the time of image capture and sensor characteristics.
다중선형 회귀모형과 천리안 지면온도를 활용한 토양수분 산정 연구
이용관,정충길,조영현,김성준,Lee, Yong Gwan,Jung, Chung Gil,Cho, Young Hyun,Kim, Seong Joon 한국농공학회 2017 한국농공학회논문집 Vol.59 No.1
This study is to estimate the spatial soil moisture using multiple linear regression model (MLRM) and 15 minutes interval Land Surface Temperature (LST) data of Communication, Ocean and Meteorological Satellite (COMS). For the modeling, the input data of COMS LST, Terra MODIS Normalized Difference Vegetation Index (NDVI), daily rainfall and sunshine hour were considered and prepared. Using the observed soil moisture data at 9 stations of Automated Agriculture Observing System (AAOS) from January 2013 to May 2015, the MLRMs were developed by twelve scenarios of input components combination. The model results showed that the correlation between observed and modelled soil moisture increased when using antecedent rainfalls before the soil moisture simulation day. In addition, the correlation increased more when the model coefficients were evaluated by seasonal base. This was from the reverse correlation between MODIS NDVI and soil moisture in spring and autumn season.
Systems Engineering approach to Reliability Centered Maintenance of Containment Spray Pump
이용관,정재천,Ohaga, Eric Owino,Lee, Yong-Kwan,Jung, Jae Cheon 한국시스템엔지니어링학회 2013 시스템엔지니어링학술지 Vol.9 No.1
This paper introduces a systems engineering approach to reliability centered maintenance to address some of the weaknesses. Reliability centered maintenance is a systematic, disciplined process that produces an efficient equipment management strategy to reduce the probability of failure [1]. The study identifies the need for RCM, requirements analysis, design for RCM implementation. Value modeling is used to evaluate the value measures of RCM. The system boundary for the study has been selected as containment spray pump and its motor drive. Failure Mode and Criticality Effects analysis is applied to evaluate the failure modes while the logic tree diagram used to determine the optimum maintenance strategy. It is concluded that condition based maintenance tasks should be enhanced to reduce component degradation and thus improve reliability and availability of the component. It is recommended to apply time directed tasks to age related failures and failure finding tasks to hidden failures.
SEBAL 모형과 Terra MODIS 영상을 이용한 혼효림, 논 지역에서의 공간증발산량 산정 연구
이용관,정충길,안소라,김성준,Lee, Yong Gwan,Jung, Chung Gil,Ahn, So Ra,Kim, Seong Joon 한국수자원학회 2016 한국수자원학회논문집 Vol.49 No.3
본 연구는 Surface Energy Balance Algorithm for Land (SEBAL) 모형을 이용해 국내의 혼효림(설마천)과 논(청미천) 유역에 대해 일 증발산량을 산정하고 각 유역의 플럭스 타워 실측 증발산량과 비교하였다. SEBAL 모형의 입력 자료로 위성자료는 2개년(2012-2013)의 Terra MODIS product 중 Albedo, Land Surface Temperature (LST), Normalized Difference Vegetation Index (NDVI)를 활용하였으며, 기상자료는 유역 인근에 위치한 기상청 기상관측소로부터 풍속, 일사량 자료를 제공받아 공간 내삽(Interpolation)하여 활용하였다. 모의결과 플럭스 타워의 연평균 증발산량은 설마천에서 302.8 mm, 청미천에서 482.0 mm, SEBAL 모의 증발산량은 각각 183.3 mm, 371.5 mm로 산정되었다. 전체 모의기간에 대한 SEBAL 모의 증발산량의 실측 증발산량과의 결정계수는 설마천 플럭스 타워에서 0.54, 청미천 플럭스 타워에서 0.79로 나타났다. 두지점에서 SEBAL 모의 증발산량이 과소 추정된 주된 이유로는 일별 hot pixel과 cold pixel로부터 산정한 현열 플럭스의 과대추정으로 인한 것으로 판단된다. This study is to estimate Surface Energy Balance Algorithm for Land (SEBAL) daily spatial evapotranspiration (ET) comparing with eddy covariance flux tower ET in Seolmacheon mixed forest (SMK) and Cheongmicheon rice paddy (CFK). The SEBAL input data of Albedo, Land Surface Temperature (LST), Normalized Difference Vegetation Index (NDVI) from Terra MODIS products and the meteorological data of wind speed, and solar radiation were prepared for 2 years (2012-2013). For the annual average flux tower ET of 302.8 mm in SMK and 482.0 mm in CFK, the SEBAL ETs were 183.3 mm and 371.5 mm respectively. The determination coefficients ($R^2$) of SEBAL ET versus flux tower ET for total periods were 0.54 in SMK and 0.79 in CFK respectively. The main reason of SEBAL ET underestimation for both sites was from the determination of hot pixel and cold pixel of the day and affected to the overestimation of sensible heat flux.
Sentinel-1 SAR와 지표상태인자를 활용한 토양의 동결 융해 상태 분석 연구
이용관,정지훈,장원진,김진욱,김성준,Yonggwan Lee,Jeehun Chung,Wonjin Jang,Jinuk Kim,Seongjoon Kim 대한원격탐사학회 2023 大韓遠隔探査學會誌 Vol.39 No.5
In this study, we used Sentinel-1 C-band synthetic aperture radar to calculate the surface state factor (SSF) for distinguishing the frozen-thawed state of soil. The accuracy of SSF classification was analyzed through comparison with air temperature (AT), grass temperature (GT), and underground temperature (UT). For the analysis, 116 Sentinel-1B Descending nodes observed over a period of 4 years from 2017 to 2020 were established for the central region of South Korea. AT, GT, and UT data were obtained from 23 soil moisture observation points of the Rural Development Administration during the same period, and analyzed using the 06:00 am data adjacent to the shooting time of the Sentinel-1B images. The average accuracy and F1-score for all stations were 0.63 and 0.47 for AT, 0.63 and 0.48 for GT, and 0.57 and 0.21 for UT, respectively. For winter (December-February) data, the average accuracy and F1-score were 0.66 and 0.76 for AT, 0.67 and 0.76 for GT, and 0.47 and 0.44 for UT, respectively. The increase in accuracy during winter data may be attributed to the fact that errors occurring in other seasons are not included.
천리안 위성 자료를 활용한 한반도의 일별 지면 온도 산정을 위한 적정 관측시간 설정 연구
이용관,정충길,이지완,김성준,Lee, Yong Gwan,Jung, Chung Gil,Lee, Ji Wan,Kim, Seong Joon 한국농공학회 2016 한국농공학회논문집 Vol.58 No.4
This study is to estimate COMS (Communication, Ocean and Meteorological Satellite) daily land surface temperature (LST) of Korea Peninsula from 15 minutes interval COMS LST (COMS LST-15) satellite data. Using daily observed LST data of Automated Agriculture Observing System (AAOS) 11 stations from January 2013 to May 2015, the COMS daily LST was compared and validated. For the representative time for daily mean LST value from COMS LST-15, the time of 23 : 45 and 0:00 showed minimum deviations with AAOS daily LST. The time zone from 23 : 45 to 1:15 and from 7 : 30 to 9 : 45 showed high determination coefficient (R2) of 0.88 and 0.90 respectively. The daily COMS LST by averaging COMS LST-15 of the day showed R2 of 0.83. From the 5 cases of results, the COMS daily LST could be extracted from the average LST by using 15 minutes data from 7 : 30 to 9 : 45.