• Title/Summary/Keyword: 공간 해상도

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Spatial distribution of hydrocarbon reservoirs in the West Korea Bay Basin in the northern part of the Yellow Sea, estimated by 3D gravity forward modeling (3차원 중력 모델링에 의해 예측된 황해 북부 서한만 분지 석유 저류층의 공간적 분포)

  • Choi, Sungchan;Ryu, In-Chang
    • Journal of the Geological Society of Korea
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    • v.54 no.6
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    • pp.641-656
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    • 2018
  • Although an amount of hydrocarbon has been discovered in the West Korea Bay Basin (WKBB), located in the North Korean offshore area, geophysical investigations associated with these hydrocarbon reservoirs are not permitted because of the current geopolitical situation. Interpretation of satellite derived potential field data can be alternatively used to image three-dimensional (3D) density distribution in the sedimentary basin associated with hydrocarbon deposits. We interpreted the TRIDENT satellite-derived gravity field data to provide detailed insights into the spatial distribution of sedimentary density structures in the WKBB. We used 3D forward density modeling for the interpretation that incorporated constraints from existing geological and geophysical information. The gravity data interpretation and 3D forward modeling showed that there are two modeled areas in the central subbasin that are characterized by very low density structures, with a maximum density of about $2,000kg/m^3$, indicating some type of hydrocarbon reservoir. One of the anticipated hydrocarbon reservoirs is located in the southern part of the central subbasin with a volume of about $250km^3$ at a depth of about 3,000 m in the Cretaceous/Jurassic layer. The other hydrocarbon reservoir should exist in the northern part of the central subbasin, with an average volume of about $300km^3$ at a depth of about 2,500 m. A comparison between the TRIDENT derived gravity field and the ship-based gravity field measured in 1980s shows us that our results are highly reliable and there is a very high probability to detect another low-density layer existings in the northwestern part of the central subbasin.

Missions and User Requirements of the 2nd Geostationary Ocean Color Imager (GOCI-II) (제2호 정지궤도 해양탑재체(GOCI-II)의 임무 및 요구사양)

  • Ahn, Yu-Hwan;Ryu, Joo-Hyung;Cho, Seong-Ick;Kim, Suk-Hwan
    • Korean Journal of Remote Sensing
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    • v.26 no.2
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    • pp.277-285
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    • 2010
  • Geostationary Ocean Color Imager(GOCI-I), the world's first space-borne ocean color observation geostationary satellite, will be launched on June 2010. Development of GOCI-I took about 6 years, and its expected lifetime is about 7 years. The mission and user requirements of GOCI-II are required to be defined at this moment. Because baseline of the main mission of GOCI-II must be defined during the development time and early operational period of GOCI-I. The main difference between these missions is the global-monitoring capability of GOCI-II, which will meet the necessity of the monitoring and research on climate change in the long-term. The user requirements of GOCI-II will have higher spatial resolution, $250m{\times}250m$, and 12 spectral bands to fulfill GOCI-I's user request, which could not be implemented on GOCI-I for technical reasons. A dedicated panchromatic band will be added for the nighttime observation to obtain fishery information. GOCI-II will have a new capability, supporting user-definable observation requests such as clear sky area without clouds and special-event areas, etc. This will enable higher applicability of GOCI-II products. GOCI-II will perform observations 8 times daily, the same as GOCI-I's. Additionally, daily global observation once or twice daily is planned for GOCI-II. In this paper, we present an improved development and organization structure to solve the problems that have emerged so far. The hardware design of the GOCI-II will proceed in conjunction with domestic or foreign space agencies.

Ionosphere Modeling and Estimation Using Regional GPS Data (지역적인 GPS 관측 데이터를 이용한 이온층 모델링 및 추정)

  • 황유라;박관동;박필호;임형철;조정호
    • Korean Journal of Remote Sensing
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    • v.19 no.4
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    • pp.277-284
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    • 2003
  • We present a GPS-derived regional ionosphere model, which estimates Total Electron Content (TEC) in a rectangular grid on the spherical shell over Korea. After dividing longitude and latitude over Korea with 1$^{\circ}$$\times$1$^{\circ}$ spatial resolution, the TEC at the vertex of the grid was estimated by the Kalman filter. The GPS data received from nine nationwide GPS stations, operated by Korea Astronomy Observatory (KAO), were used for this study. To reduce inherent noises, the pseudorange data were phase-leveled by a linear combination of pseudoranges and carrier phases. The solar-geomagnetic reference frame, which is less variable to the ionosphere movement due to the Sun and the geomagnetic field than an Earth-fixed frame, was used. During a quiet time of solar activity, the KAO's regional ionosphere map indicated 30-45 Total Electron Content Unit at the peak of the diurnal variation. In comparison with the Global ionosphere Map of the Center for Orbit Determination in Europe, RMS differences were at the level of 4-5 TECU for five days.

SAR Image Impulse Response Analysis in Real Clutter Background (실제 클러터 배경에서 SAR 영상 임펄스 응답 특성 분석)

  • Jung, Chul-Ho;Jung, Jae-Hoon;Oh, Tae-Bong;Kwang, Young-Kil
    • Korean Journal of Remote Sensing
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    • v.24 no.2
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    • pp.99-106
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    • 2008
  • A synthetic aperture radar (SAR) system is of great interest in many fields of civil and military applications because of all-weather and luminance free imaging capability. SAR image quality parameters such as spatial resolution, peak to sidelobe ratio (PSLR), and integrated sidelobe ratio (ISLR) can be normally estimated by modeling of impulse response function (IRF) which is obtained from various system design parameters such as altitude, operational frequency, PRF, etc. In modeling of IRF, however, background clutter environment surrounding the IRF is generally neglected. In this paper, analysis method for SAR mage quality is proposed in the real background clutter environment. First of all, SAR raw data of a point scatterer is generated based on various system parameters. Secondly, the generated raw data can be focused to ideal IRF by range Doppler algorithm (RDA). Finally, background clutter obtained from image of currently operating SAR system is applied to IRF. In addition, image quality is precisely analyzed by zooming and interpolation method for effective extraction of IRF, and then the effect of proposed methodology is presented with several simulation results under the assumption of estimation error of Doppler rate.

Land Cover Classification of the Korean Peninsula Using Linear Spectral Mixture Analysis of MODIS Multi-temporal Data (MODIS 다중시기 영상의 선형분광혼합화소분석을 이용한 한반도 토지피복분류도 구축)

  • Jeong, Seung-Gyu;Park, Chong-Hwa;Kim, Sang-Wook
    • Korean Journal of Remote Sensing
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    • v.22 no.6
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    • pp.553-563
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    • 2006
  • This study aims to produce land-cover maps of Korean peninsula using multi-temporal MODIS (Moderate Resolution Imaging Spectroradiometer) imagery. To solve the low spatial resolution of MODIS data and enhance classification accuracy, Linear Spectral Mixture Analysis (LSMA) was employed. LSMA allowed to determine the fraction of each surface type in a pixel and develop vegetation, soil and water fraction images. To eliminate clouds, MVC (Maximum Value Composite) was utilized for vegetation fraction and MinVC (Minimum Value Composite) for soil fraction image respectively. With these images, using ISODATA unsupervised classifier, southern part of Korean peninsula was classified to low and mid level land-cover classes. The results showed that vegetation and soil fraction images reflected phenological characteristics of Korean peninsula. Paddy fields and forest could be easily detected in spring and summer data of the entire peninsula and arable land in North Korea. Secondly, in low level land-cover classification, overall accuracy was 79.94% and Kappa value was 0.70. Classification accuracy of forest (88.12%) and paddy field (85.45%) was higher than that of barren land (60.71%) and grassland (57.14%). In midlevel classification, forest class was sub-divided into deciduous and conifers and field class was sub-divided into paddy and field classes. In mid level, overall accuracy was 82.02% and Kappa value was 0.6986. Classification accuracy of deciduous (86.96%) and paddy (85.38%) were higher than that of conifers (62.50%) and field (77.08%).

Development of Experimental System for Green Roof System (옥상녹화 효율성 검증실험장비 개발)

  • Park, JaeRock;Kim, SaeBom;Cheon, JongHyeon;Kim, ByungSung;Shin, HyunSuk
    • Proceedings of the Korea Water Resources Association Conference
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    • 2017.05a
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    • pp.495-495
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    • 2017
  • 도시화는 불투수면의 증가를 야기 시켜 물순환 왜곡, 다양한 오염 물질의 유입으로 인한 비점오염물질 유출, 인공 배출열의 증가로 인한 도시열섬효과 등 다양한 문제를 유발한다. 이러한 수리수문학적 및 환경생태학적 문제를 저감하기 위하여 도시지역과 같은 개발 사업에서는 수환경을 가능한 자연 상태로 복원하는 저영향개발(Low Impact Development, LID)기법이 중요한 대안으로 제시되고 있다. LID기법 중 하나인 옥상녹화는 에너지 이용을 최소한으로 한 자연 녹음의 효과적인 이용을 도모하여 환경공생도시 조성과 식물을 매개로한 자연 순환 과정을 도시구조에 도입하여 순환 시스템 재생이 가능 하도록한다. 노지녹화는 두꺼운 자연 토양을 이용하는 반면 옥상녹화는 적재하중의 제약(옥상의 적재하중 조건은 $150{\sim}180kgf/m^2$이다. 비중이 1.6~1.8인 토양을 20cm 객토한 경우, 약 $320kgf/m^2 $이상의 적재하중이 되기에 식재기반의 경량화는 중요한 사안이다.)으로 인해 용적밀도가 작은 인공경량토양 또는 개량토양을 이용하며, 토양 두께도 얇게 설정된다. 또한 토양의 두께는 식물의 크기와 종류 및 토양의 조성에 따라 다르기에 적재하중 조건을 고려한 적절한 토양과 식재 식물의 크기와 종류 결정은 중요하다. 이에 본 연구에서는 옥상녹화식생에 대한 평가와 이에 대한 시험 프로세스가 가능한 실험 장치를 개발하였다. 옥상녹화 효율성 검증실험장비는 1m*1m*0.6m 아크릴 재질의 녹화셀로 경사조절이 가능하도록 설계하여 경사변화에 따른 유출, 침투, 증발산량의 탄성도 모의 평가를 할 수 있다. 또한 4점식 형태의 로드셀을 이용하여 녹화셀에서 발생하는 증발산량을 측정하고 관측된 증발산량은 RS-232c 이상의 통신프로토콜을 사용하여 주기적인 관측치의 송수신이 가능하며 주기적 자료송수신 외에도 옥상 녹화셀의 측면에 하중 표시기를 설치하여 관측이 가능하다. 또한 저면에 바퀴설치를 통하여 이동 실험이 용이하며 현재 부산대학교 양산캠퍼스 한국 GI&LID 실증단지 연구센터 내 옥상녹화 실험장에 옥상녹화 효율성 검증 실험 장비를 설치하여 자연 혹은 인공강우를 통한 유출, 침투, 증발산량의 시험계측을 실시중이다. 이러한 옥상녹화 효율성 검증실험장비는 최대 하중 2,000kg, 측정해상도 0.02kg 이상을 허용하는 로드셀과 녹화셀을 이용하여 하중을 고려한 식생의 종류에 따른 평가가 가능하므로 최적 식재기반 단면구조 개발에 이용될 수 있을 것이다. 또한 토양 함수량 변화 측정으로 옥상녹화에 이용되는 다양한 종류의 식물의 염분에 대한 저항성과 식물의 성장능력을 평가하여 녹화공간에 따른 옥상녹화에 사용할 식생을 결정할 수 있다.

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Analysis of the Cloud Removal Effect of Sentinel-2A/B NDVI Monthly Composite Images for Rice Paddy and High-altitude Cabbage Fields (논과 고랭지 배추밭 대상 Sentinel-2A/B 정규식생지수 월 합성영상의 구름 제거 효과 분석)

  • Eun, Jeong;Kim, Sun-Hwa;Kim, Taeho
    • Korean Journal of Remote Sensing
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    • v.37 no.6_1
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    • pp.1545-1557
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    • 2021
  • Crops show sensitive spectral characteristics according to their species and growth conditions and although frequent observation is required especially in summer, it is difficult to utilize optical satellite images due to the rainy season. To solve this problem, Constrained Cloud-Maximum Normalized difference vegetation index Composite (CC-MNC) algorithm was developed to generate periodic composite images with minimal cloud effect. In thisstudy, using this method, monthly Sentinel-2A/B Normalized Difference Vegetation Index (NDVI) composite images were produced for paddies and high-latitude cabbage fields from 2019 to 2021. In August 2020, which received 200mm more precipitation than other periods, the effect of clouds, was also significant in MODIS NDVI 16-day composite product. Except for this period, the CC-MNC method was able to reduce the cloud ratio of 45.4% of the original daily image to 14.9%. In the case of rice paddy, there was no significant difference between Sentinel-2A/B and MODIS NDVI values. In addition, it was possible to monitor the rice growth cycle well even with a revisit cycle 5 days. In the case of high-latitude cabbage fields, Sentinel-2A/B showed the short growth cycle of cabbage well, but MODIS showed limitations in spatial resolution. In addition, the CC-MNC method showed that cloud pixels were used for compositing at the harvest time, suggesting that the View Zenith Angle (VZA) threshold needsto be adjusted according to the domestic region.

Experimental Study on Flow Direction of Fire Smoke in DC Electric Fields (DC 전기장 내에서 발생하는 화재연기 진행 방향에 대한 실험적 연구)

  • Park, Juwon;Kim, Youngmin;Seong, Seung Hun;Park, Sanghwan;Kim, Ji Hwan;Chung, Yongho;Yoon, Sung Hwan
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.27 no.5
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    • pp.675-682
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    • 2021
  • Fire accidents on land and at sea can cause serious casualties; specifically, owing to the nature of marine plants and ships, the mortality rate at sea from suffocation in confined spaces is significantly higher than that on land. To prevent such cases of asphyxiation, it is essential to install ventilation fans that can outwardly direct these toxic gases from fires; however, considering the scale of marine fires, the installation of large ventilation fans is not easy owing to the nature of marine structures. Therefore, in this study, we developed a new concept for fire safety technology to control toxic gases generated by fires from applied direct current (DC) electric fields. In the event of a fire, most flames contain large numbers of positive and negative charges from chemi-ionization, which generates an "ionic wind" by Lorentz forces through the applied electric fields. Using these ionic winds, an experimental study was performed to artificially control the fire smoke caused by burning paper and styrofoam, which are commonly used as insulation materials in general buildings and ships. The experiments showed that a fire smoke could be artificially controlled by applying a DC voltage in excess of ±5 kV and that relatively effective control was possible by applying a negative voltage rather than a positive voltage.

Bias Characteristics Analysis of Himawari-8/AHI Clear Sky Radiance Using KMA NWP Global Model (기상청 전구 수치예보모델을 활용한 Himawari-8/AHI 청천복사휘도 편차 특성 분석)

  • Kim, Boram;Shin, Inchul;Chung, Chu-Yong;Cheong, Seonghoon
    • Korean Journal of Remote Sensing
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    • v.34 no.6_1
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    • pp.1101-1117
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    • 2018
  • The clear sky radiance (CSR) is one of the baseline products of the Himawari-8 which was launched on October, 2014. The CSR contributes to numerical weather prediction (NWP) accuracy through the data assimilation; especially water vapor channel CSR has good impact on the forecast in high level atmosphere. The focus of this study is the quality analysis of the CSR of the Himawari-8 geostationary satellite. We used the operational CSR (or clear sky brightness temperature) products in JMA (Japan Meteorological Agency) as observation data; for a background field, we employed the CSR simulated using the Radiative Transfer for TOVS (RTTOV) with the atmospheric state from the global model of KMA (Korea Meteorological Administration). We investigated data characteristics and analyzed observation minus background statistics of each channel with respect to regional and seasonal variability. Overall results for the analysis period showed that the water vapor channels (6.2, 6.9, and $7.3{\mu}m$) had a positive mean bias where as the window channels(10.4, 11.2, and $12.4{\mu}m$) had a negative mean bias. The magnitude of biases and Uncertainty result varied with the regional and the seasonal conditions, thus these should be taken into account when using CSR data. This study is helpful for the pre-processing of Himawari-8/Advanced Himawari Imager (AHI) CSR data assimilation. Furthermore, this study also can contribute to preparing for the utilization of products from the Geo-Kompsat-2A (GK-2A), which will be launched in 2018 by the National Meteorological Satellite Center (NMSC) of KMA.

Feasibility Assessment of Spectral Band Adjustment Factor of KOMPSAT-3 for Agriculture Remote Sensing (농업관측을 위한 KOMPSAT-3 위성의 Spectral Band Adjustment Factor 적용성 평가)

  • Ahn, Ho-yong;Kim, Kye-young;Lee, Kyung-do;Park, Chan-won;So, Kyu-ho;Na, Sang-il
    • Korean Journal of Remote Sensing
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    • v.34 no.6_3
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    • pp.1369-1382
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    • 2018
  • As the number of multispectral satellites increases, it is expected that it will be possible to acquire and use images for periodically. However, there is a problem of data discrepancy due to different overpass time, period and spatial resolution. In particular, the difference in band bandwidths became different reflectance even for images taken at the same time and affect uncertainty in the analysis of vegetation activity such as vegetation index. The purpose of this study is to estimate the band adjustment factor according to the difference of bandwidth with other multispectral satellites for the application of KOMPSAT-3 satellite in agriculture field. The Spectral band adjustment factor (SBAF) were calculated using the hyperspectral satellite images acquired in the desert area. As a result of applying SBAF to the main crop area, the vegetation index showed a high agreement rate of relative percentage difference within 3% except for the Hapcheon area where the zenith angle was 25. For the estimation of SBAF, this study used only one set of images, which did not consider season and solar zenith angle of SBAF variation. Therefore, long-term analysis is necessary to solve SBAF uncertainty in the future.