• Proceedings of the Korean Society of Soil and Groundwater Environment Conference
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• 2003.09a
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• pp.112-115
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• 2003

쓰레기매립장의 침출수 누출 탐지를 위한 물리탐사법은 침출수의 전기전도도를 대상으로 한 전기탐사법이 주로 적용되어 왔다. 이 연구는 제주도에 위치한 비위생매립지를 대상으로 주변 수리지질환경 파악을 위한 전기비저항 탐사와 더불어 매립장 경계부와 토양층을 통한 침출수 누출 영역을 효율적으로 규명하기 위하여 다중주파수를 이용한 소형루프 전자탐사를 병행하여 수행하였으며, 아울러 오염지역의 천부 지하수 유동 방향을 추정하기 위하여 침출수의 유동에 의해 발생될 수 있는 자연전위를 모니터링 하였다. 전기비저항 탐사 및 자연전위 모니터링 결과 매립지 주변을 통한 침출수의 누출 가능성은 거의 없는 것으로 나타났으며, 이는 주변 하천에서 정기적으로 실시한 수질 분석 결과와 일치된다. 또한 소형루프 전자탐사 자료에 대하여 공간 필터링 및 1차원 역산법을 적용한 결과 매립장 경계부의 위치 및 매립장 내부의 심도별 매립물에 의한 저비저항 이상대를 효과적으로 도출 할 수 있었다.

• The Journal of Engineering Geology
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• v.28 no.2
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• pp.247-258
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• 2018

In the demonstration-scale offshore $CO_2$ storage project, the monitoring team studies geophysical and geochemical monitoring of $CO_2$ injections in the Yeongil Bay, in which a $CO_2$ test injection (about 100t) was performed in January, 2017 and further injections in larger scales are planned for 2018 and 2019. In this study, the development status of the Korea-type Hydro-Geophone OBS (Ocean Bottom Sensor) and the geochemical baseline survey (focused on some anions of sediment pore water) are suggested as the preliminary results of the pre-injection test.

• Journal of the Korean Association of Geographic Information Studies
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• v.27 no.1
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• pp.99-114
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• 2024

Domestic coastal debris monitoring encounters challenges due to labor-intensive methods and limited survey scope. Consequently, research is utilizing remote sensing techniques to enhance efficiency in data collection. However, standards for domestic remote sensing based monitoring methods remain insufficient. In this study, we conducted a meta-analysis of 19 coastal debris monitoring studies utilizing drones and other remote sensing devices. We analyzed data collection methods, collected data information, monitoring target details, monitoring status, detection targets, and utilization models. Based on our meta-analysis results, we proposed monitoring criteria, recommended items, and performance standards for monitoring coastal debris using drones. Our findings define necessary conditions and standards for establishing operational guidelines for coastal debris monitoring using drones. Furthermore, we anticipate that incorporating foreign case analyses and field application results will enable the development of national-level guidelines for coastal debris monitoring utilizing remote sensing devices.

• Geophysics and Geophysical Exploration
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• v.14 no.3
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• pp.203-213
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• 2011

Time-lapse seismic surveys make repeated seismic surveys at different stages of oil production of a hydrocarbon reservoir to monitor changes in reservoir like fluid saturation. Since the repeatable surface seismic measurements can identify fluid types and map fluid saturations, oil and gas companies can make much more informed decision during not only production but also drilling and development. If time-lapse seismic surveys compare 3D seismic surveys, the time-lapse surveys are widely called as 4D seismic. A meaningful time-lapse interpretation is based on the repeatability of seismic surveys, which mainly depends on improved positioning and reduced noise (if surveys were designed properly through a feasibility study). The time-lapse interpretation can help oil and gas companies to maximize oil and gas recovery. This paper discusses about time-lapse seismic surveys mainly focused on feasibility, repeatability, data processing and interpretation.

• Korean Journal of Remote Sensing
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• v.37 no.5_1
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• pp.939-946
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• 2021

Monitoring of post wildfire provides important information for vegetation restoration. In particular, remote sensing data are known to provide useful information necessary for monitoring. However, there are insufficient research results which is monitoring the vegetation recovery using remote sensing data. This study is directed to monitoring post-wildfire vegetation restoration. It proposes a method for monitoring vegetation restoration using Sentinel-2 satellite data by compositing Tasseled Cap linear regression trend in a post wildfire study sites. Although it is a simple visualization technique using satellite images, it was able to confirm the possibility of effective monitoring.

• Korean Journal of Remote Sensing
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• v.37 no.6_2
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• pp.1803-1818
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• 2021

As the frequency of drought increases due to climate change, it is very important to have a monitoring system that can accurately determine the situation of widespread drought. However, while ground-based meteorological data has limitations in identifying all the complex droughts in Korea, satellite remote sensing data can be effectively used to identify the spatial characteristics of drought in a wide range of regions and to detect drought. This study attempted to analyze the possibility of using remote sensing data for drought identification in South Korea. In order to monitor various aspects of drought, remote sensing and ground observation data of precipitation and potential evapotranspiration, which are major variables affecting drought, were collected. The evaluation of the applicability of remote sensing data was conducted focusing on the comparison with the observation data. First, to evaluate the applicability and accuracy of remote sensing data, the correlations with observation data were analyzed, and drought indices of various aspects were calculated using precipitation and potential evapotranspiration for meteorological drought monitoring. Then, to evaluate the drought monitoring ability of remote sensing data, the drought reproducibility of the past was confirmed using the drought index. Finally, a high-resolution drought map using remote sensing data was prepared to evaluate the possibility of using remote sensing data for actual drought in South Korea. Through the application of remote sensing data, it was judged that it would be possible to identify and understand various drought conditions occurring in all regions of South Korea, including unmeasured watersheds in the future.

• Journal of Korean Tunnelling and Underground Space Association
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• v.10 no.4
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• pp.405-420
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• 2008

Resistivity survey is one of the widely used methods for the investigation of stability of the ground or bedrock around tunnel and is also used as an essential base data for stability and reduction of construction cost through first-hand approximation of rock quality at design step. Generally, the analysis of resistivity survey data is performed by single measurement. When distribution variation of groundwater around a tunnel over time is necessary for maintenance of a tunnel, resistivity monitoring is very useful survey method to grasp distribution variation of groundwater. So we performed the grid line resistivity survey to monitoring resistivity variation for six times. And we also tried to evaluate application possibility of the resistivity monitoring for construction safety through providing detailed information on fault zones.

• Proceedings of the KSRS Conference
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• 2009.03a
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• pp.242-245
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• 2009

본 연구는 한반도 국토 전역을 모니터링 하기 위해 MODIS(Moderate Resolution Imaging Spectroradiometer) 위성영상을 이용하는데 있어서 필요한 기본적 자료처리 및 모니터링 시스템 구축을 목표로 한다. 현재 MODIS관련 product는 대부분 NASA에서 제공하는 알고리즘을 구현하여 제작되며 이러한 product들은 여러 웹싸이트에 접근하여 획득하도록 되어있다. 이러한 방식은 장기적으로 국토를 모니터링 하는데 필요한 자료를 원활하게 공급하지 못하게 되는 단점을 가지고 있다. 그러므로 이 연구는 한반도의 국토환경을 모니터링 하는데 MODIS 자료를 원활히 공급하기 위한 처리 시스템을 구축하고자 한다. 본 연구에서는 Windows환경을 기반으로 사용자 인터페이스를 제공하고 다양한 MODIS 관련 모듈을 내부적으로 자동화 처리하여 보다 쉽게 사용할 수 있도록 개선하였다. 특히 MODIS 원시영상(Production Data Set) Level0 취득부터 보정된 영상자료 Level1B까지의 자동화 처리에 중점을 두었고, Level2이후의 주로 육상(Land)부분에 해당하는 자료를 생성하는 부분을 구현한다. 이러한 MODIS 자료의 생성 이후에 국토 모니터링에 필요한 토지 피복 변화, 산불 탐지 등의 정보를 생성하는 알고리즘 구현 등으로 범위를 확장하려고 한다.

• Journal of the Korean Association of Geographic Information Studies
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• v.23 no.3
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• pp.236-251
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• 2020

As remote sensing technologies are evolving, and more satellites are orbited, the demand for using satellite data for disaster monitoring is rapidly increasing. Although natural and social disasters have been monitored using satellite data, constraints on establishing an integrated satellite-based near real-time disaster monitoring system have not been identified yet, and thus a novel framework for establishing such system remains to be presented. This research identifies constraints on establishing satellite data-based near real-time disaster monitoring systems by devising and testing a new conceptual framework of disaster monitoring, and then presents a feasible disaster monitoring system that relies mainly on acquirable satellite data. Implementing near real-time disaster monitoring by satellite remote sensing is constrained by technological and economic factors, and more significantly, it is also limited by interactions between organisations and policy that hamper timely acquiring appropriate satellite data for the purpose, and institutional factors that are related to satellite data analyses. Such constraints could be eased by employing an integrated computing platform, such as Amazon Web Services(AWS), which enables obtaining, storing and analysing satellite data, and by developing a toolkit by which appropriate satellites'sensors that are required for monitoring specific types of disaster, and their orbits, can be analysed. It is anticipated that the findings of this research could be used as meaningful reference when trying to establishing a satellite-based near real-time disaster monitoring system in any country.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2003.04a
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• pp.568-574
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• 2003

오늘날 급속하게 팽창하는 도시외형과 더불어 도심의 집약적이고 다양한 토지이용 패턴 속에서 계획적인 도시개발을 유도하기 위해서는 도시변화 추세 및 그 상세 정보를 주기적으로 모니터링 할 수 있는 종합적인 도시성장관리시스템이 요구된다 이에 앞서 본 연구에서는 토지이용변화를 바탕으로 한 도시성장 모니터링에 있어서 다중시기 원격탐사자료의 활용성과 그 적용범위를 명확하게 규명함과 동시에 향후 도시성장관리시스템 개발에 필요한 기초 자료를 효과적으로 생성하기 위하여 3단계로 구분하여 연구를 수행하였다. 우선 다중시기 원격탐사자료를 이용한 도시의 외형적 성장을 파악하고, 기존의 토지이용도 및 영상자료를 이용하여 시기별 토지이용도를 생성하고 이를 바탕으로 도시성장과정을 체계적으로 분석하였다. 또한 적용 결과를 통하여 기존자료의 최 신성을 확보하는 한편 막대한 예산을 투자하여 구축된 기존 토지이용자료를 원격탐사자료와 더불어 도시변화/성장 연구에 있어 보다 효과적으로 활용할 수 있는 방안을 제시하였다.