• Title/Summary/Keyword: geophysics

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PmP파의 주행시간을 이용한 한반도 남부지역의 지각두께 연구

  • 박종찬;함인경;김우한;최광선
    • IUGG한국위원회:학술대회논문집
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    • IUGG한국위원회 2003년도 정기총회 및 학술발표회
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    • pp.21-21
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    • 2003
  • 국내 지진관측망에 기록된 지진기록으로부터 관측한 PmP파의 주행시간을 이용하여 한반도 남부지역에서의 지각두께를 추정한다. 모호면으로부터 반사된 파형인 PmP파의 주행시간은 지각두께와 속도구조에 의존한다. 만약 실제 지각의 평균속도와 모델속도 사이의 차이가 작다고 가정하면, 계산한 주행시간과 실제 지진기록으로부터 관측한 주행시간의 상대적인 차이는 반사점에서 지각의 상대적인 두께차이에만 의존한다. 따라서 PmP파가 반사된 지점에서의 지각두께는 주행시간의 상대적인 차이가 표본추출간격보다 작은 값을 가질 때까지 지각두께를 변화시켜줌으로서 계산되어진다. 계산결과 한반도 남부지역에서의 지각두께는 지리산 부근 지역이 가장 두껍고 경상분지 지역이 가장 얇으며 호남지역은 중간 두께를 나타낸다.

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Spectral Distorical data in the polar region

  • Kim, Jeong-Woo;Won, Joong-Sun;Min, Kyung-Duck;Kim, Hye-Yun
    • 대한자원환경지질학회:학술대회논문집
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    • 대한자원환경지질학회 2000년도 춘계공동학술발표회
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    • pp.308-310
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    • 2000
  • Sampling rates become inconsistent when spatial data in spherical coordinate are re-sampled with respect latitudinal or longitudinal degree for mathematical processes such as Fourier Transfrom, and this results in the distrtions of the processed data in the wavenmber domain. This distortions are more evident in the polar regions. An example is presented to show such distortions during the recovery process of free-air gravity anomalies from ERSI radar atimeter data in Russian Arctic Barents Sea, and a method is present to minimize the distortion using Lambect Conformal Conic map projection.

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Distortions of Spherical Data in the Wavenumber Domain

  • Kim, Jeong-Woo;Lee, Dong-Cheon
    • 대한원격탐사학회지
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    • 제18권3호
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    • pp.171-179
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    • 2002
  • Sampling rates become inconsistent when spatial data in the spherical coordinate are resampled with respect to latitudinal or longitudinal degree for mathematical processes such as Fourier Transform, and this results in distortions of the processed data in the wavenumber domain. These distortions are more evident in the polar regions. An example is presented to show such distortions during the recovery process of free-air gravity anomalies from ERS-1 satellite radar altimeter data from the Barents Sea in the Russian Arctic, and a method is presented to minimize the distortion using the Lambert Conformal Conic map projection. This approach was found to enhance the free-air gravity anomalies in both data and wavenumber domains.

Estimation of Ocean Current Velocity near Incheon using Radarsat-1 SAR and HF-radar Data

  • Kang, Moon-Kyung;Lee, Hoon-Yol
    • 대한원격탐사학회지
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    • 제23권5호
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    • pp.421-430
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    • 2007
  • This paper presents the results of the ocean surface current velocity estimation using 6 Radarsat-1 SAR images acquired in west coastal area near Incheon. We extracted the surface velocity from SAR images based on the Doppler shift approach in which the azimuth frequency shift is related to the motion of surface target in the radar direction. The Doppler shift was measured by the difference between the Doppler centroid estimated in the range-compressed, azimuth-frequency domain and the nominal Doppler centroid used during the SAR focusing process. The extracted SAR current velocities were statistically compared with the current velocities from the high frequency(HF) radar in terms of averages, standard deviations, and root mean square errors. The problem of the unreliable nominal Doppler centroid for the estimation of the SAR current velocity was corrected by subtracting the difference of averages between SAR and HF-radar current velocities from the SAR current velocity. The corrected SAR current velocity inherits the average of HF-radar data while maintaining high-resolution nature of the original SAR data.

Performance of Random Forest Classifier for Flood Mapping Using Sentinel-1 SAR Images

  • Chu, Yongjae;Lee, Hoonyol
    • 대한원격탐사학회지
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    • 제38권4호
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    • pp.375-386
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    • 2022
  • The city of Khartoum, the capital of Sudan, was heavily damaged by the flood of the Nile in 2020. Classification using satellite images can define the damaged area and help emergency response. As Synthetic Aperture Radar (SAR) uses microwave that can penetrate cloud, it is suitable to use in the flood study. In this study, Random Forest classifier, one of the supervised classification algorithms, was applied to the flood event in Khartoum with various sizes of the training dataset and number of images using Sentinel-1 SAR. To create a training dataset, we used unsupervised classification and visual inspection. Firstly, Random Forest was performed by reducing the size of each class of the training dataset, but no notable difference was found. Next, we performed Random Forest with various number of images. Accuracy became better as the number of images in creased, but converged to a maximum value when the dataset covers the duration from flood to the completion of drainage.

Activity of the Fushun West Open-pit Mine in China Observed by Sentinel-1 InSAR Coherence Images

  • Jung, Da-woon;Lee, Hoonyol
    • 대한원격탐사학회지
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    • 제38권4호
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    • pp.365-374
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    • 2022
  • Mining activity causes environmental pollution and geological hazards such as ground subsidence or landslide of which continuous monitoring is necessary. In this study, the activity on the Fushun West Open-Pit Mine (FWOPM), one of the largest open-pit coal mines in Asia located in Fushun, Liaoning Province, China, was analyzed by using a time-series Sentinel-1 InSAR coherence dataset. By using the difference between the two Digital Elevation Models (DEM) of the area, it was possible to confirm that there was a stockpiling activity in the western area of the FWOPM while excavation activity in the eastern area. By using RGB composite images using the yearly-averaged InSAR coherence images, the activity of the mine was confirmed by period, which was confirmed by Google Earth optical images. As a result, it was possible to confirm three landslides and the related activities on the northwest slope and the dumping activity on the west slope of FWOPM.