A5047367448- Atmospheric Ozone and Climate
- Atmospheric aerosols and clouds
- Atmospheric chemistry and aerosols
- Atmospheric and Environmental Gas Dynamics
- Meteorological Phenomena and Simulations
- Video Surveillance and Tracking Methods
- Remote Sensing and Land Use
- Precipitation Measurement and Analysis
- Indoor and Outdoor Localization Technologies
- Gas Sensing Nanomaterials and Sensors
- Image Enhancement Techniques
- Innovation in Digital Healthcare Systems
- Advanced Image and Video Retrieval Techniques
- Smart Parking Systems Research
- Fault Detection and Control Systems
- Stock Market Forecasting Methods
- Advanced Decision-Making Techniques
- Tactile and Sensory Interactions
- Transportation and Mobility Innovations
- Environmental Changes in China
- Remote Sensing and LiDAR Applications
- Flood Risk Assessment and Management
- Cryospheric studies and observations
- Space Exploration and Technology
Yonsei University
2023-2024
Ewha Womans University
2021-2024
Korea Advanced Institute of Science and Technology
2024
Ewha Womans University Medical Center
2023
Abstract. The Geostationary Environment Monitoring Spectrometer (GEMS) on board GEO-KOMPSAT-2B was launched in February 2020 and has been monitoring atmospheric chemical compositions over Asia. We present the first evaluation of operational GEMS formaldehyde (HCHO) vertical column densities (VCDs) during after in-orbit test (IOT) period (August–October 2020) by comparing them with products from TROPOspheric Instrument (TROPOMI) Fourier-transform infrared (FTIR) multi-axis differential...
Abstract. This paper introduces a cloud retrieval algorithm for the Geostationary Environmental Monitoring Spectrometer (GEMS), first environmental geostationary orbit satellite, and validates its products by comparing them with those produced other instruments (OMI, TROPOMI, AMI, CALIOP). The GEMS are corrected impact of clouds on atmospheric components using O2–O2 absorption band to retrieve effective fraction centroid pressure. performance was similar that OMI. We analyzed characteristics...
Abstract. This research introduces the cloud retrieval algorithm for Geostationary Environmental Monitoring Spectrometer (GEMS), first geostationary orbit satellite, and shows validation of its products through comparison with other satellites: OMI, TROPOMI, AMI, CALIOP. The purpose GEMS is to correct impact clouds on atmospheric components retrieval, which use O2-O2 absorption band retrieve effective fraction (ECF) centroid pressure (CCP). showed similar performance OMI. We analyzed...
Abstract. The Geostationary Environment Monitoring Spectrometer (GEMS) onboard GEO-KOMPSAT 2B was successfully launched in February 2020 and has monitored Asia. We present the first evaluation of operational GEMS formaldehyde (HCHO) vertical column densities (VCDs) during in-orbit test period (IOT) (August–October 2020) onward by comparing them with products from Tropospheric Instrument (TROPOMI), Fourier-Transform Infrared (FTIR), Multi-Axis Differential Optical Absorption Spectroscopy...
Recent studies have attempted to monitor global air quality with geostationary satellites. However, the monitoring accuracy is affected by a high solar zenith angle (SZA) during day-to-night transition period, since retrieval algorithms commonly use shortwave radiation. This study investigates inaccuracy of background cloud retrievals for at SZAs that O2–O2 absorption band 477 nm. To this end, differential optical spectroscopy (DOAS) method radiative transfer model (RTM) simulations used...
국내에서 7번째로 큰 섬인 영종도는 인천으로부터 남서쪽으로 약 4.8 km 떨어져 있다. 영종도 주변에는 조수 차에 따라 드러나는 갯벌이 존재하며, 이곳은 지속적으로 감소하고 있는 겨울철새의 중요한 도래지라는 점에서 환경적 가치가 높은 곳이기도 하다. 그러나 최근 인천국제공항의 건설과 간척사업과 같은 인위적인 자연개발로 인해 갯벌 보존에 대한 우려가 증가하고 본 연구에서는 미국 지질조사소 (USGS)가 제공하고 Landsat 7 ETM+영상을 기반으로 지역을 분석하였다. 갯벌의 경계선을 뚜렷이 나타내기 위하여 물과 육지의 경계가 분명하게 구분하는 RGB 7, 5, 3 밴드조합으로 위성영상 가합성 (False color composite)을 수행하고 지표피복분류를 통해 갯벌을 탐지하여 면적을 계산하였으며, 수치화하는 작업을 반복 수행하였다. 또한 조위관측소가 자료를 제공하는 기간인 2000년부터 2015년까지 총 16년간 기반으로, 조위의 변화에 동북부 지역의 수치화하여, 각...
Short-term rentals of shared mobility devices (SMDs) including bikes, e-bikes, and e-scooters are gaining significant popularity across different countries. These services equip their SMDs with GPS receivers which allows the riders flexibility to park anywhere, next user simply finds nearest parked SMDs. However, accuracy decreases significantly in urban areas causes real-world problems (e.g., users chargers not being able locate SMDs). To overcome this problem, we propose Ramp-Scope that...
Table S1.Summary of the data field variables archived in GEMS Level 2 HCHO product.Layer, spatial, and image represent number vertical layers a priori profile, cross-track, along-track observation.
Abstract In this study, we propose a new approach to improve the accuracy of horizontal atmospheric motion vector (AMV) in cloud-free skies and its forecasting. We adapted optical flow convolutional neural network (CNN) framework model using two 10-min interval infrared images at water vapor channels (centered 6.3, 7.0, 7.3 $$\mu m$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>μ</mml:mi> <mml:mi>m</mml:mi> </mml:mrow> </mml:math> ) from Korean geostationary...
Locating and replacing lost items can be a time-consuming demanding task, requiring significant amount of resources. While tag-based object tracking systems like Apple's AirTags are suggested, attaching tags on objects compromise their usability become costly as the number increases. To mitigate this challenge, we propose AcousTrack, novel object-tracking system that eliminates need for additional tags. AcousTrack instead leverages smartwatches to capture acoustic signals emitted when come...
Abstract The Korean Peninsula frequently experiences localized torrential rainfall (LTR) in the summer. However, on August 8, 2022, a peculiar LTR occurred by continuous generation of convective clouds within few hours, numerical weather prediction model was hard to forecast such high intensity LTR. This study explores possibility uncovering potential precursory signals using remote sensing techniques both Geostationary Korea Multi-Purpose Satellite 2A (GK2A) and operational RKSG (Camp...
The demand for masks and air filters with effective filtration capabilities is skyrocketing as there are many applications that require protecting users from inhaling pollutants or hazardous particles. Unfortunately, we witnessing a surge in the number of counterfeit substandard attributed to malicious inept manufacturers. Hence, left vulnerable not knowing which products reliable. Exacerbating problem, diverse filter standards, each unique expression efficiencies, adding user confusion....
The cloud retrieval algorithm used by the Geostationary Environment Monitoring Spectrometer (GEMS) to monitor atmospheric conditions over East Asia is presented in this paper. In UV-VIS range, increase radiance and shorten beam bath length. We defined products as effective fraction, which represents reflecting impact of clouds, centroid pressure, indicates height at clouds reflect. absorption O2-O2 band, results from collisions oxygen molecules atmosphere with generally constant...
Atmospheric motion vector (AMV) is an important factor that affects most meteorological phenomena in numerical weather prediction. Despite of its significance, the conventional algorithm moisture tracking for AMV calculated with remote sensing data uses cross-correlation coefficient (CCC) method, resulting low-resolution (target-based) output and much errors. In addition, forecasting AMVs impossible method because it requires water vapor 10 minutes from current time to calculate winds. For...
The Korean Peninsula frequently experiences localized torrential rainfall (LTR) in the summer. LTR occurs rapidly few hours, requiring use of geostationary satellites with nowcasting capabilities. This study identified precursory phenomenon that occurred on August 8, 2022. We investigated changes cloud property values convective clouds (CC) from Geostationary Korea Multi-Purpose Satellite 2A (GK2A) trigger events. movement distance CC was calculated using top temperature (CTT). maintained a...
본 논문에서는 붓스트랩을 이용한 Value-at-Risk 추정에 대해 연구하였다. 구체적으로 기존에 단변량으로 제안된 방법들을 다변량으로 확장하기 위해 다변량 CCC-GARCH모형을 고려하여 붓스트랩 수익률 자료를 생성하고 이를 이용하여 VaR를 추정하였다. 실증분석을 코스피200과 S&P500 주가지수를 포트폴리오를 구성하여 논문에서 제안한 고려한 방법과 정규분포를 가정한 지수가중이동평균법으로 추정한 비교하여 분석하였다. 사후검정결과에 의하면 방법을 VaR 추정이 지수가중이동평균법에 의한 비해 효율이 향상됨을 확인하였다.