• Title/Summary/Keyword: 모니터링 탐사

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Analysis on Survey, Exploration and Development Policy and Technology of China : Focused on Shale Gas Resources (셰일가스 자원을 중심으로 한 중국의 에너지·광물자원 조사·탐사·개발 기술 정책분석)

  • Lee, Jae-Wook;Kim, Seong-Yong;Ahn, Eun-Young;Park, Jung-Kyu
    • Economic and Environmental Geology
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    • v.47 no.3
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    • pp.291-302
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    • 2014
  • The Chinese government and its agencies were trying in order to solve the unstability of resource supply and demand. Ministry of Land and Resources of China(MLR) carried out a lot of national-level policy and planning for estimating the domestic mineral and energy resources potential and recoverable reserves, as the Chinese land and resources survey plan(1999~2010), the Chinese mineral resource survey and exploration plan(2008~2020), announcement for shale gas industry policies of China, the Chinese shale gas resources evaluation and selection project for its development priority areas(2012), and the plan for Chinese shale gas development(2011~2015). The two large sedimentary basins of Chinese shale gas reserves are Sichuan and Tarim basins with excellent potential, accounting for majority of the estimated national reserves. Recoverable gas-bearing shale of China was surveyed to be widespread. The volume of recoverable shale gas reservoirs in China has been estimated to be around 31 trillion cubic meters(1,115 trillion cubic feet). China is one of only three countries with the US and Canada to produce shale gas in commercial quantities. China is concentrating on technology development to enhance commercial production of shale gas, and on survey and exploration activities to increase its recoverable reserves. The trends related to shale gas development and R&D activities in China to respond to changes in international oil market should be actively monitored based on analysis of Chinese policies and technology.

Innovative Geostationary Communication and Remote Sensing Mutli-purpose Satellite Program in Korea-COMS Program

  • Baek, Myung-Jin;Park, Jae-Woo
    • Journal of Satellite, Information and Communications
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    • v.2 no.2
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    • pp.29-35
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    • 2007
  • COMS satellite is a multipurpose satellite in the geostationary orbit, which accommodates multiple payloads of the Ka band Satellite Communication Payload, Meteorological Imager, and Geostationary Ocean Color Imager into a single spacecraft platform. In this paper, Korea's first innovative geostationary Communication, Ocean and Meteorological Satellite (COMS) program is introduced which is fully funded by Korean Government. The satellite platform is based on the Astrium EUROSTAR 3000 communication satellite, but creatively combined with MARS Express satellite platform to accommodate three different payloads efficiently for COMS. The goals of the Ka band satellite communication mission are to in-orbit verify the performances of advanced communication technologies and to experiment wide-band multi-media communication service. The Meteorological Imager mission is to continuously extract meteorological products with high resolution and multi-spectral imager, to detect special weather such as storm, flood, yellow sand, and to extract data on long-term change of sea surface temperature and cloud. The Geostationary Ocean Color Imager mission aims at monitoring of marine environments around Korean peninsula, production of fishery information (Chlorophyll, etc.), and monitoring of long-term/short-term change of marine ecosystem. The system design difficulties are in the different kinds of payload mission requirements of communication and remote sensing purposes and how to combine them into one to meet the overall satellite requirements. In this paper, Ka band communication payload system is more highlighted.

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Persistent Scatterer Selection and Network Analysis for X-band PSInSAR (X-band PSInSAR를 위한 고정산란체 추출 및 네트워크 분석 기법)

  • Kim, Sang-Wan;Cho, Min-Ji
    • Korean Journal of Remote Sensing
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    • v.27 no.5
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    • pp.521-534
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    • 2011
  • The high-resolution X-band SAR systems such as COSMO-SkyMED and TerraSAR-X have been launched recently. In addition KOMPSAT-5 will be launched in the early of 2012. In this study we developed the new method for persistent scatterer candidate (PSC) selection and network construction, which is more suitable for PSInSAR analysis using multi-temporal X-band SAR data. PSC selection consists in two main steps: first, selection of initial PSCs based on amplitude dispersion index, mean amplitude, mean coherence. second, selection of final PSCs based on temporal coherence directly estimated from network analysis of initial PSCs. To increase the stability of network the Multi- TIN and complex network for non-urban area were addressed as well. The proposed algorithm was applied to twenty-one TerraSAR-X SAR of New Orleans. As a result many PSs were successfully extracted even in non-urban area. This research can be used as the practical application of KOMPSAT-5 for surface displacement monitoring using X-band PSInSAR.

Analysis on the Area of Deltaic Barrier Island and Suspended Sediments Concentration in Nakdong River Using Satellite Images (위성영상을 활용한 낙동강 삼각주 연안사주의 면적 및 부유퇴적물 농도 변화 분석)

  • Eom, Jinah;Lee, Changwook
    • Korean Journal of Remote Sensing
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    • v.33 no.2
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    • pp.201-211
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    • 2017
  • The estuary in Nakdong River has changes by the construction of harbors, land reclamation and artificial waterway changes. These resultslead to changes of extinction and creation of deltaic barrier island. The deltaic barrier island changes in the Nakdong River estuary affect the function of the barrier islands and cause environmental changes. Therefore, it is important to monitor the changes in the area of the Nakdong estuary. In this study, long-term changes of the area and suspended sediment of deltaic barrier island in the Nakdong River estuary were analyzed using Landsat TM/ETM+ images. As a result, end point rate (EPR) values of shoreline in Jinwoodo and Sinjado are about 5m/yr and about 50 m/yr, respectively. The EPR values of north-south and east-west direction in Doyodeung are 20 m/yr and -20 ~ 10 m/yr. The suspended sediment concentration (SSC) has a maximum value of $25g/m^3$ in the vicinity of Jinwoodo and Sinjado, while it has a maximum concentration of $40g/m^3$ in the vicinity of Shinjido and Doyodeung. In other words, the area and the SSC change are small in Jinwoodo, and the area change and the SSC variation are large in Sinjado and Doyodeung. As a result of analysis of correlation between area change and SSC variation using all data, the Pearson coefficient value (r) is 0.36 and it is 0.32 in winter data. In other words, it is considered that the SSC variation affectsthe deltatic barrier island area change. However, verification using advanced altimetry data is necessary in the future. These studies can be used for coastal monitoring and environmental monitoring.

Dimensionality Reduction Methods Analysis of Hyperspectral Imagery for Unsupervised Change Detection of Multi-sensor Images (이종 영상 간의 무감독 변화탐지를 위한 초분광 영상의 차원 축소 방법 분석)

  • PARK, Hong-Lyun;PARK, Wan-Yong;PARK, Hyun-Chun;CHOI, Seok-Keun;CHOI, Jae-Wan;IM, Hon-Ryang
    • Journal of the Korean Association of Geographic Information Studies
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    • v.22 no.4
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    • pp.1-11
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    • 2019
  • With the development of remote sensing sensor technology, it has become possible to acquire satellite images with various spectral information. In particular, since the hyperspectral image is composed of continuous and narrow spectral wavelength, it can be effectively used in various fields such as land cover classification, target detection, and environment monitoring. Change detection techniques using remote sensing data are generally performed through differences of data with same dimensions. Therefore, it has a disadvantage that it is difficult to apply to heterogeneous sensors having different dimensions. In this study, we have developed a change detection method applicable to hyperspectral image and high spat ial resolution satellite image with different dimensions, and confirmed the applicability of the change detection method between heterogeneous images. For the application of the change detection method, the dimension of hyperspectral image was reduced by using correlation analysis and principal component analysis, and the change detection algorithm used CVA. The ROC curve and the AUC were calculated using the reference data for the evaluation of change detection performance. Experimental results show that the change detection performance is higher when using the image generated by adequate dimensionality reduction than the case using the original hyperspectral image.

Analysis of Thermal Environment by Urban Expansion using KOMPSAT and Landsat 8: Sejong City (KOMPSAT과 Landsat 8을 이용한 도시확장에 따른 열환경 분석: 세종특별자치시를 중심으로)

  • Yoo, Cheolhee;Park, Seonyoung;Kim, Yeji;Cho, Dongjin
    • Korean Journal of Remote Sensing
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    • v.35 no.6_4
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    • pp.1403-1415
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    • 2019
  • Urban population growth and consequent rapid urbanization involve some thermal environmental problems in the cities. Monitoring of thermal environments in urban areas such as hot spot analysis is required for effective actions to resolve these problems. This study selected 14 dongs and surrounding administrative districts of Sejong city as study areas and analyzed the characteristics of changes in surface temperature due to the urban expansion in the summer from 2013 to 2018. In the study, the surface temperature distributions in the study areas were plotted using surface temperature values from Landsat 8 and NDVI (Normalized Difference Vegetation Index) and NDBI (Normalized Difference Built-up Index) based on KOMPSAT 2/3 data, and the patterns of surface temperature changes with urban expansion were discussed using the estimated NDVI and NDBI. In particular, the distinct urbanization in the study areas were selected for case studies, and the cause of the changes in the hot spots in the regions was analyzed using high-resolution KOMPSAT images. This study results present that hot spots appeared in urbanized regions within the study areas, and it was plotted that the lower the NDVI values and the higher the NDBI values indicate the temperature values are high. The land surface temperature and satellite-based products were used to divide the study areas into continuously urbanized regions and rapidly urbanized regions and to identify the different characteristics depending on land covers. In the regions with distinct surface temperature changes by urbanization, the analysis using high-resolution KOMPSAT images as presented in this study could provide effective information for urban planning and policy utilization in the future.

Quality Analysis of GCP Chip Using Google Map (Google Map을 이용한 GCP 칩의 품질 분석)

  • Park, Hyeongjun;Son, Jong-Hwan;Shin, Jung-Il;Kweon, Ki-Eok;Kim, Taejung
    • Korean Journal of Remote Sensing
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    • v.35 no.6_1
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    • pp.907-917
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    • 2019
  • Recently, the demand for high-resolution satellite images increases in many fields such as land monitoring and terrain analysis. Therefore, the need for geometric correction is increasing. As an automatic precision geometric correction method, there is a method of automatically extracting the GCP by matching between the GCP Chip and the satellite image. For automatic precision geometric correction, the success rate of matching GCP Chip and satellite image is important. Therefore, it is important to evaluate the matching performance of the manufactured GCP Chip. In order to evaluate the matching performance of GCP Chips, a total of 3,812 GCP Chips in South Korea were used as experimental data. The GCP Chip matching results of KOMPSAT-3A and Google Map showed similar matching results. Therefore, we determined that Google Map satellite imagery could replace high-resolution satellite imagery. Also, presented a method using center point and error radius of Google Map to reduce the time required to verify matching performance. As a result, it is best to set the optimum error radius to 8.5m. Evaluated the matching performance of GCP Chips in South Korea using Google Maps. And verified matching result using presented method. As a result, the GCP Chip s in South Korea had a matching success rate of about 94%. Also, the main matching failure factors were analyzed by matching failure GCP Chips. As a result, Except for GCP Chips that need to be remanufactured, the remaining GCP Chips can be used for the automatic geometric correction of satellite images.

Detection of Inflow Permeable Zones Using Fluid Replacement Conductivity Logging in Coastal Aquifer (공내수 치환 전기전도도검층을 이용한 연안지역 대수층의 탐지)

  • Hwang, Se-Ho;Park, Yun-Seong;Shin, Je-Hyun;Park, Kwon-Gyu
    • Geophysics and Geophysical Exploration
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    • v.9 no.3
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    • pp.225-230
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    • 2006
  • Fluid replacement and conductivity logging have been applied to three boreholes in coastal aquifer in order to identify permeable fractures and to estimate the origin of saline groundwater. Fluid replacement technique measures and monitors the change of borehole fluid conductivity with depth under ambient or pumping condition after replacing the original borehole fluid with different one (by pumping out original one and injecting simultaneously new one at the hole bottom). After the replacement of borehole fluid, the change of fluid conductivity can be the direct indicator of the intake flow of formation water through aquifer such as permeable fractures or porous formations. The conductivity profiles measured with times therefore indicate the locations of permeable zone or fractures within the open hole or the fully slotted casing hole. As a result of fluid conductivity logging for three boreholes at coastal area in Yeonggwang, Jeonam Province, it is interpreted that the seawater intrusion in this area is not by remnant saline groundwater after land reclamation but mainly by intrusion of saline water through fractured rock. This approach might be useful for assessing the characteristics of seawater intrusion, the design of optimal pumping, the mitigation of seawater intrusion using freshwater injection, and estimating the hydraulic characteristics in coastal aquifer.

Analysis of Regional Antecedent Wetness Conditions Using Remotely Sensed Soil Moisture and Point Scale Rainfall Data (위성토양수분과 지점강우량을 이용한 지역 선행습윤조건 분석)

  • Sunwoo, Wooyeon;Kim, Daeun;Hwang, Seokhwan;Choi, Minha
    • Korean Journal of Remote Sensing
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    • v.30 no.5
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    • pp.587-596
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    • 2014
  • Soil moisture is one of the most important interests in hydrological response and the interaction between the land surface and atmosphere. Estimation of Antecedent Wetness Conditions (AWC) which is soil moisture condition prior to a rainfall in the basin should be considered for rainfall-runoff prediction. In this study, Soil Wetness Index (SWI), Antecedent Precipitation Index ($API_5$), remotely sensed Soil Moisture ($SM_{rs}$), and 5 days ground Soil Moisture ($SM_{g5}$) were selected to estimate the AWC at four study area in the Korean Peninsula. The remotely sensed soil moisture data were taken from the AMSR-E soil moisture archive. The maximum potential retention ($S_{obs}$) was obtained from direct runoff and rainfall using Soil Conservation Service-Curve Number (SCS-CN) method by rainfall data of 2011 for each study area. Results showed the great correlations between the maximum potential retention and SWI with a mean correlation coefficient which is equal to -0.73. The results of time length representing the time scale of soil moisture showed a gap from region to region. It was due to the differences of soil types and the characteristics of study area. Since the remotely sensed soil moisture has been proved as reasonable hydrological variables to predict a wetness in the basin, it should be continuously monitored.

Application of Landsat TM/ETM+ Images to Snow Variations Detection by Volcanic Activities at Southern Volcanic Zone, Chile (Landsat TM/ETM+ 위성영상을 활용한 칠레 Southern Volcanic Zone의 화산과 적설변화와의 상관성 연구)

  • Kim, Jeong-Cheol;Jung, Hyung-Sup
    • Korean Journal of Remote Sensing
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    • v.33 no.3
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    • pp.287-299
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    • 2017
  • The Southern Volcanic Zone (SVZ) of Chile consists of many volcanoes, including the Mt.Villarrica and Mt.Llaima, and the two volcanoes are covered with snow at the top of Mountain. The purpose of this study is to analyze the relationship between the ice caps and the volcanic activity of the two volcanoes for 25 years by using the satellite image data are available in a time series. A total of 60 Landsat-5 TM and Landsat-7 ETM + data were used for the study from September 1986 to February 2011. Using NDSI (Normalized Difference Snow Index) algorithm and SRTM DEM, snow cover and snowline were extracted. Finally, the snow cover area, lower-snowline, and upper-snowline, which are quantitative indicators of snow cover change, were directly or indirectly affected by volcanic activity, were extracted from the satellite images. The results show that the volcanic activity of Villarrica volcano is more than 55% when the snow cover is less than 20 and the lower-snowline is 1,880 m in Llaima volcano. In addition, when the upper-snowline of the two volcanoes is below -170m, it can be confirmed that the volcano is differentiated with a probability of about 90%. Therefore, the changes in volcanic snowfall are closely correlated with volcanic activity, and it is possible to indirectly deduce volcanic activity by monitoring the snow.