• Title/Summary/Keyword: sentinel-1A/B

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Estimation of spatial distribution of snow depth using DInSAR of Sentinel-1 SAR satellite images (Sentinel-1 SAR 위성영상의 위상차분간섭기법(DInSAR)을 이용한 적설심의 공간분포 추정)

  • Park, Heeseong;Chung, Gunhui
    • Journal of Korea Water Resources Association
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    • v.55 no.12
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    • pp.1125-1135
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    • 2022
  • Damages by heavy snow does not occur very often, but when it does, it causes damage to a wide area. To mitigate snow damage, it is necessary to know, in advance, the depth of snow that causes damage in each region. However, snow depths are measured at observatory locations, and it is difficult to understand the spatial distribution of snow depth that causes damage in a region. To understand the spatial distribution of snow depth, the point measurements are interpolated. However, estimating spatial distribution of snow depth is not easy when the number of measured snow depth is small and topographical characteristics such as altitude are not similar. To overcome this limit, satellite images such as Synthetic Aperture Radar (SAR) can be analyzed using Differential Interferometric SAR (DInSAR) method. DInSAR uses two different SAR images measured at two different times, and is generally used to track minor changes in topography. In this study, the spatial distribution of snow depth was estimated by DInSAR analysis using dual polarimetric IW mode C-band SAR data of Sentinel-1B satellite operated by the European Space Agency (ESA). In addition, snow depth was estimated using geostationary satellite Chollian-2 (GK-2A) to compare with the snow depth from DInSAR method. As a result, the accuracy of snow cover estimation in terms with grids was about 0.92% for DInSAR and about 0.71% for GK-2A, indicating high applicability of DInSAR method. Although there were cases of overestimation of the snow depth, sufficient information was provided for estimating the spatial distribution of the snow depth. And this will be helpful in understanding regional damage-causing snow depth.

Predictive Distribution Modelling of Calamus andamanicus Kurz, an Endemic Rattan from Andaman and Nicobar Islands, India

  • Sreekumar, V.B.;Suganthasakthivel, R.;Sreejith, K.A.;Sanil, M.S.
    • Journal of Forest and Environmental Science
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    • v.32 no.1
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    • pp.94-98
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    • 2016
  • Calamus andamanicus Kurz is one of the commercially important solitary rattans endemic to Andaman and Nicobar islands. The habitat suitability modeling program, MaxEnt, was used to predict the potential ecological niches of this species, based on bioclimatic variables. The study revealed high potential distribution of C. andamanicus across both Andaman and Nicobar islands. Of the 33 spatially unique points, 21 points were recorded from South and North Andamans and 12 from Great Nicobar Islands. The islands like Little Andaman, North Sentinel, Little Nicobar, Tllangchong, Teressa were also predicted positive even though this rattan is not recorded from these islands. Mean diurnal range, higher precipitation in the wettest month of the year, annual precipitation and precipitation in the driest month are the main predictors of this species distribution.

Validation of Satellite Altimeter-Observed Sea Surface Height Using Measurements from the Ieodo Ocean Research Station (이어도 해양과학기지 관측 자료를 활용한 인공위성 고도계 해수면고도 검증)

  • Hye-Jin Woo;Kyung-Ae Park;Kwang-Young Jeong;Seok Jae Gwon;Hyun-Ju Oh
    • Korean Journal of Remote Sensing
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    • v.39 no.5_1
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    • pp.467-479
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    • 2023
  • Satellite altimeters have continuously observed sea surface height (SSH) in the global ocean for the past 30 years, providing clear evidence of the rise in global mean sea level based on observational data. Accurate altimeter-observed SSH is essential to study the spatial and temporal variability of SSH in regional seas. In this study, we used measurements from the Ieodo Ocean Research Station (IORS) and validate SSHs observed by satellite altimeters (Envisat, Jason-1, Jason-2, SARAL, Jason-3, and Sentinel-3A/B). Bias and root mean square error of SSH for each satellite ranged from 1.58 to 4.69 cm and 6.33 to 9.67 cm, respectively. As the matchup distance between satellite ground tracks and the IORS increased, the error of satellite SSHs significantly amplified. In order to validate the correction of the tide and atmospheric effect of the satellite data, the tide was estimated using harmonic analysis, and inverse barometer effect was calculated using atmospheric pressure data at the IORS. To achieve accurate tidal corrections for satellite SSH data in the seas around the Korean Peninsula, it was confirmed that improving the accuracy of tide data used in satellites is necessary.

Development of an AI-based Waterside Environment and Suspended Solids Detection Algorithm for the Use of Water Resource Satellite (수자원위성 활용을 위한 AI기반 수변환경 및 부유물 탐지 알고리즘 개발)

  • Jung Ho Im;Kyung Hwa Cho;Seon Young Park;Jae Se Lee;Duk Won Bae;Do Hyuck Kwon;Seok Min Hong;Byeong Cheol Kim
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.4-4
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    • 2023
  • C-band SAR 센서를 탑재한 수자원위성은 한반도 수자원 모니터링을 위해 개발되어 2025년 발사가 계획되어 있으며, 수변환경 및 부유물 탐지 및 다양한 활용이 기대되고 있다. 그 중 수변환경은 수변 생태계 안정성을 유지하는 역할을 담당하여 이에 대한 모니터링은 중요하다. s현장 관측 기반 탐지 방법과 비교하여 위성 원격탐사는 광범위한 지역을 반복적으로 관측하여, 연속적인 수변환경 및 부유물 정보를 제공할 수 있다. 이러한 특성에 기반하여 다양한 다중분광 및 SAR (Synthetic Aperture Radar) 위성 원격탐사 자료를 바탕으로 수변환경 및 부유물의 탐지 연구가 이루어졌다. 특히 단일 영상만을 사용하는 기법에 비해 다중분광 및 SAR 영상을 융합하여 높은 정확도를 보인 바 있다. 초기 연구에서는 임계값 알고리즘 또는 현장관측 기반의 부유물 농도와 위성 자료간의 선형관계를 분석하는 단순한 알고리즘이 주를 이루었으나, 최근에는 RF, CNN 등 보다 복잡하고 다양한 인공지능 알고리즘이 적용되어 높은 정확도로 해당 문제들을 해결하고 있다. 본 연구에서는 수자원위성 활용을 위해 인공지능 기반 수변환경 및 부유물 탐지 알고리즘을 개발하고자 한다. 수자원위성의 대체 자료로 유럽우주국의 Sentinel-1 A/B 위성의 C-band SAR 영상을 이용하였으며, 보조자료로 Sentinel-2 다중분광 영상을 이용하였다. 개발된 알고리즘은 수자원 관리를 위한 환경변화 탐지에 유용한 정보로 활용될 수 있을 것으로 기대된다.

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Verification of Kompsat-5 Sigma Naught Equation (다목적실용위성 5호 후방산란계수 방정식 검증)

  • Yang, Dochul;Jeong, Horyung
    • Korean Journal of Remote Sensing
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    • v.34 no.6_3
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    • pp.1457-1468
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    • 2018
  • The sigma naught (${\sigma}^0$) equation is essential to calculate geo-physical properties from Synthetic Aperture Radar (SAR) images for the applications such as ground target identification,surface classification, sea wind speed calculation, and soil moisture estimation. In this paper, we are suggesting new Kompsat-5 (K5) Radar Cross Section (RCS) and ${\sigma}^0$ equations reflecting the final SAR processor update and absolute radiometric calibration in order to increase the application of K5 SAR images. Firstly, we analyzed the accuracy of the K5 RCS equation by using trihedral corner reflectors installed in the Kompsat calibration site in Mongolia. The average difference between the calculated values using RCS equation and the measured values with K5 SAR processor was about $0.2dBm^2$ for Spotlight and Stripmap imaging modes. In addition, the verification of the K5 ${\sigma}^0$ equation was carried out using the TerraSAR-X (TSX) and Sentinel-1A (S-1A) SAR images over Amazon rainforest, where the backscattering characteristics are not significantly affected by the seasonal change. The calculated ${\sigma}^0$ difference between K5 and TSX/S-1A was less than 0.6 dB. Considering the K5 absolute radiometric accuracy requirement, which is 2.0 dB ($1{\sigma}$), the average difference of $0.2dBm^2$ for RCS equation and the maximum difference of 0.6 dB for ${\sigma}^0$ equation show that the accuracies of the suggested equations are relatively high. In the future, the validity of the suggested RCS and ${\sigma}^0$ equations is expected to be verified through the application such as sea wind speed calculation, where quantitative analysis is possible.

Molecular Characterization and Phylogenetic Analysis of Season Influenza Virus Isolated in Busan during the 2006-2008 Seasons (부산지역에서 유행한 계절인플루엔자바이러스의 유전자 특성 및 계통분석('06-'08 절기))

  • Park, Yon-Koung;Kim, Nam-Ho;Choi, Seung-Hwa;Lee, Mi-Oak;Min, Sang-Kee;Kim, Seong-Joon;Cho, Kyung-Soon;Na, Young-Nan
    • Journal of Life Science
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    • v.20 no.3
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    • pp.365-373
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    • 2010
  • To monitor newly emerged influenza virus variants and to investigate the prevalence pattern, our laboratory performed isolation of the viruses from surveillance sentinel hospitals. In the present study, we analysed influenza A/H1N1, A/H3N2, B viruses isolated in Busan during the 2006/07 and 2007/08 seasons by sequence analysis of the hemagglutinin (HA1 subunit) and neuraminidase (NA) genes. The isolates studied here were selected by the stratified random sample method from a total of 277 isolates, in which 15 were A/H1N1, 16 were A/H3N2 and 29 were B. Based on the phylogenetic tree, the HA1 gene showed that A/H1N1 isolates had a 96.7% to 97.7% homology with the A/Brisbane/59/2007, A/H3N2 isolates had a 98.4% to 99.7% homology with the A/Brisbane/10/2007, and B isolates had a 96.5% to 99.7% homology with the B/Florida/4/2006(Yamagata lineage), which are all the vaccine strains for the Northern Hemisphere in 2008~2009 season. In the case of the NA gene, A/H1N1 isolates had 97.8% to 98.5% homologies, A/H3N2 isolates had 98.9% to 99.4% homologies, and B isolates had 98.9% to 100% homologies with each vaccine strain in the 2008~2009 season, respectively. Characterization of the hemagglutinin gene revealed that amino acids at the receptor-binding site and N-linked glycosylation site were highly conserved. These results provide useful information for the control of influenza viruses in Busan and for a better understanding of vaccine strain selection.

Analysis of Influenza Virus Isolates in Seoul during 2003-2004 Season (2003-2004 절기 서울지역의 인플루엔자 바이러스 분리 및 아형 분석)

  • Hwang Young-Ok;Lee Jae-In;Seo Byung-tae
    • Korean Journal of Microbiology
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    • v.41 no.1
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    • pp.53-59
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    • 2005
  • Influenza is an important public health problem which occurs almost every winter in temperate climates and is often associated with increased rates of hospitalization and death. In 1999, our influenza surveillance was initiated with 4 voluntary sentinel physicians and the Public Health Center. During the 2003-2004 influenza season, 124 influenza viruses were isolated from 401 clinical specimens, which were collected from patients with Influenza-like illness(ILI) in Seoul. The case definition of ILI is a case with fever more than $38^{\circ}C$ and systemic symptoms; cough, or sore throat. ILI was the highest at the 20-49 age $group(23\%)$ and the rate of virus isolation was the highest at the 7-19 age $group(50\%)$. Among 124 influenza viruses, isolates 83 were identified as A/H3N2 type and others were subtyped as influenza B viruses in 2003-2004 season. Influenza viruses were collected $39.1\%$ at Nowon-Gu, $13.5\%$ Gangnam-Gu and Seocho-Gu etc. and the isolate rate of virus had the area difference; Yongsan-Gu $66.7\%$, Gangnam-gu $50.0\%$, Nowon-Gu $39.9\%$, Kangbuk-Gu $36.8\%$, Seocho-Gu $27.8\%$, Dongjak-Gu $21.2\%$. Out of 401 individuals, 160 was vaccinated $(40\%)$ and the vaccination rate was the highest at the 20-49 age $group(32\%)$. These findings may contribute to the recommondation of the influenza vaccine formulation and the development of influenza control measure.

Role of PKR and EGR-1 in Induction of Interleukin-S by Type B Trichothecene Mycotoxin Deoxynivalenol in the Human Intestinal Epithelial Cells (B형 트리코테센 곰팡이 독소 데옥시니발레놀에 의한 인체 장관 상피세포 염증성 인터루킨 8유도에서의 PKR과 EGR-1의 상호 역할 규명)

  • Park, Seong-Hwan;Yang, Hyun;Choi, Hye-Jin;Park, Yeong-Min;Ahn, Soon-Cheol;Kim, Kwan-Hoi;Lee, Soo-Hyung;Ahn, Jung-Hoon;Chung, Duk-Hwa;Moon, Yu-Seok
    • Journal of Life Science
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    • v.19 no.7
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    • pp.949-955
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    • 2009
  • Mucosal epithelia sense external stress signals and transmit them to the intracellular cascade responses. Ribotoxic stress-producing chemicals such as deoxynivalenol (DON) or other trichothecene mycotoxins have been linked with gastrointestinal inflammatory diseases by Fusarium-contamination. The purpose of this study was to test the hypothesis that DON evokes the epithelial sentinel signals of RNA-dependent protein kinase (PKR) and early growth response gene 1 (EGR-1), which together contribute to the pro-inflammatory cytokine interleukin 8 (IL-8) in human intestinal epithelial cells. PKR suppression by the dominant negative PKR expression attenuated DON-stimulated interleukin-8 production. Moreover, 1L-8 transcriptional activation by DON was also reduced by PKR inhibition in the human intestinal epithelial cells. Treatment with the PKR inhibitor also suppressed EGR-1 promoter activity, mRNA and protein induction, although mitogen-activated protein (MAP) kinases such as extracellular signal-regulated protein kinases (ERK) 1/2, p38, c-Jun N-terminal Kinase (INK) were little affected or even enhanced in presence of a PKR inhibitor. These patterns were also compared in the EGR-1-suppressed cells, which showed much more suppressed production of 1L-8. All things taken into consideration, DON-activated sentinel signals of EGR-1 via PKR mediated interleukin-8 production in human intestinal epithelial cells, which provide insight into the possible general mechanism associated with mucosal inflammation as an intestinal toxic insult by ribotoxic trichothecene mycotoxins.

Serological evidence of Anaplasma spp., Borrelia burgdorferi and Ehrlichia canis in dogs from the Republic of Korea by rapid diagnostic test kits

  • Miranda, Evelyn Alejandra;Han, Sun-Woo;Rim, Ji-Min;Cho, Yoon-Kyoung;Choi, Kyoung-Seong;Chae, Joon-Seok
    • Journal of Veterinary Science
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    • v.23 no.2
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    • pp.20.1-20.8
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    • 2022
  • Background: Emergent and re-emergent canine tick-borne infections are attracting increasing attention worldwide. The rise in pet ownership and the close relationship between dogs and their owners are the most concerning factors because dogs may act as competent reservoirs for human tick-transmitted infectious agents. Objectives: This study contributes to the epidemiological surveillance of canine tick-transmitted infections with zoonotic risk in the Republic of Korea (ROK) by investigating the seroprevalence of the pathogens, Anaplasma spp., Borrelia burgdorferi, and Ehrlichia canis. Methods: Four hundred and thirty whole blood samples from domestic dogs were collected in seven metropolitan cities and nine provinces in the ROK and tested using SensPERT Ab test kits (VetAll Laboratories®) to detect seroreactive animals. Results: The seroprevalence rates identified were 9.8% (42/430) for Anaplasma spp., 2.8% (12/430) for B. burgdorferi, and 1.4% (6/430) for E. canis. The risk factors evaluated in this study that could be associated with the development of a humoral immune response, such as sex, age, and history of tick exposure, were similar. There was only one exception for dogs seroreactive to Anaplasma spp., where the risk factor "tick exposure" was statistically significant (p = 0.047). Conclusions: This serological survey exhibited the widespread presence of Anaplasma spp., B. burgdorferi, and E. canis throughout the ROK. Hence, dogs may play a key role as the sentinel animals of multiple zoonotic infectious agents in the country.

Epidemiological Characteristics of Influenza in Children during the 2017-2018 and 2018-2019 Influenza Seasons in Jeju, Korea (2017-2018, 2018-2019 절기 제주 지역 소아 인플루엔자의 역학적 특성)

  • Kim, Yoon-Joo;Choe, Young June;Choi, Jae Hong
    • Pediatric Infection and Vaccine
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    • v.27 no.3
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    • pp.171-179
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    • 2020
  • Purpose: In Korea, seasonal influenza is an important respiratory illness afflicting children every year. We aimed to investigate the childhood epidemiology in Jeju during the 2017-2018 and 2018-2019 seasons. Methods: Children aged <13 years, who were tested for influenza at the Jeju National University Hospital during the 2017-2018 and 2018-2019 influenza seasons, were included. Demographics and the influenza test results were retrospectively reviewed from their medical records. Results: This study included 5,219 cases of influenza-like illness (ILI) (2017-2018: n=2,279; 2018-2019: n=2,940). The mean age of the eligible children was 2.85±2.79 years, and the most common age among ILI patients in each season was 1 year group. There were 902 (17.3%, 902/5,219) confirmed influenza cases during the 2 seasons. The rate of influenza confirmed by rapid influenza diagnostic test or polymerase chain reaction among ILI patients in the 2017-2018 and 2018-2019 seasons was 10.4% (236/2,279) and 10.3% (303/2,940) for influenza A, and 9.1% (208/2,279) and 5.3% (155/2,940) for influenza B, respectively. The mean age of influenza-confirmed cases was 4.09 years and 5.05 years in the 2017-2018 and 2018-2019 seasons, respectively (P<0.05). Weekly distribution of influenza was similar to that of ILI in the clinical sentinel surveillance system in both seasons. Conclusion: The difference in the influenza epidemic trend and age-group distribution between the 2017-2018 and 2018-2019 seasons was distinct in Jeju. Steady epidemiological studies on influenza in Jeju are needed for comparison with other regions of Korea.