• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2010.06a
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• pp.130-136
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• 2010

This study estimates and evaluates the parameters to relate spectral intensities of aerial and terrestrial images through spectral analysis of each band. For the experiment, an aerial image covering the headquater of the Kyungpook National University was used and terrestrial images were taken by the Sony DSC-F828 DSLR camera. For finding the spectral correspondence, gray intensity, RGB variance, mean, standard deviation were computed, from which parameters of a linear model between patches of both images were computed and evaluated using check patches.

• Journal of Korean Society for Geospatial Information Science
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• v.13 no.2 s.32
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• pp.71-77
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• 2005

Digital maps that art the primitive components for GIS has been increasingly used for various applications. Although their production processes has been noticeably improved, particularly, the geographic survey and structural editing processes still depends on the traditional process depending on maps printed on papers. This study thus proposes a new efficient method employing a computerized filed survey system into these processes. We applied this method to producing a digital map ver 2.0 and compare the results nth those based on the existing method. From this comparison analysis, it is shown that the proposed method saves about 5% from the overall cost by reducing the man power and processing steps required for digital map production.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2004.03a
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• pp.475-479
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• 2004

위성에서 감지되는 조간대 원격 반사도는 함수율, 퇴적상, 지형과 생물체 등의 영향에 의해 결정된다. 따라서 다른 환경요인을 제거하지 않고 위성자료 값을 분류하여 퇴적상과 비교한다면 좋은 결과를 얻을 수 없다. 하지만 퇴적상과 다른 환경요인은 관계가 복잡하고 미묘하게 얽혀있기 때문에 위성 자료 값에서 정량적으로 분리하거나 고려하는 것은 매우 어렵다. 특히 mud flat의 조류로나 세곡 부분은 배수구배의 발달로 인해 표층이 빠르게 마르게 되어 매우 높은 광학 반사도를 보이고 이는 sand가 우세한 지역의 높은 광학반사도와의 구별을 어렵게 만든다. 따라서 본 연구에서는 위성자료의 원격반사도 값만으로 조간대의 표층 퇴적상을 분류할 경우 에러가 발생할 수 있는 이러한 문제를 해결하기 위하여 조간대 texture와 표층 퇴적상과의 관계를 파악하고자 한다. 6.6 m 해상도를 갖는 EOC 자료를 이용하여 조류로의 형태와 밀도를 알아내고, 현장에서 샘플 된 입도 자료를 분석하여 비교함으로서 상관관계를 알아보고자 한다. mud flat의 경우, 대부분 복잡한 texture 구조를 갖고 밀도가 매우 높게 나타났으며 mixed flat 지역에서는 직선 구조를 갖는 큰 조류로가 발달하며 일부지역에서는 표면수가 잔존함에 의해 조간대에서 가장 어둡게 나타났다. 반면 sand shoal 이나 chenier 등과 같이 sand의 함량이 매우 높은 곳에서는 지형이 높아 함수율이 매우 낮아 높은 광학 반사도를 보임을 알 수 있었다.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2008.06a
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• pp.465-470
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• 2008

우리나라는 산림은 단순림이 많고 밀도가 높기 때문에 산불이 한번 발생하면 대형 산불로 확산될 우려가 크다. 이 때문에 산불 발생을 미리 예측하여 대응할 필요가 있다. 산불 발생예측을 위해서는 산불 발생에 영향을 미치는 인자와 산불 발생의 관계를 파악하는 것이 중요하다. 본 연구는 1997년부터 2006년까지 발생한 전국에서 발생한 산불의 point data를 이용하였다. 산불 발생 지점의 지형인자와 지리인자, 그리고 산불 발생 당시의 기상인자로 DB를 구축하고 산불 발생과의 관계를 구명하였다. 지형인자 분석은 고도, 방위, 경사에 따른 산불 발생 빈도를 분석하였고, 그 상관관계를 분석하였다. 지리인자 분석에서는 인구밀도, 산불 발생지역의 접근성(도로에 따른 접근성, 대도시와의 거리에 따른 접근성)에 대한 산불 발생의 상관관계를 분석하였다. 기상인자와 산불 발생의 관계는 전국 76개소에서 관측된 온습도 데이터를 보간한 자료와 산불 발생과의 관계를 분석하였다. 기상인자 분석은 산불이 가장 빈번하게 발생하는 3월 하순, 4월 초순, 4월 중순 자료를 평균하여 산불 발생 빈도와의 상관관계를 분석하고 산불 발생 위험지역을 도출하였다. 본 연구를 통해서 각 인자와 산불 발생의 관계를 분석해보았다. 하지만 각 인자간의 관계를 분석하지 못한 것이 한계점이라고 할 수 있다. 차후 연구에서는 각 인자간의 관련성을 분석하고 산불 발생의 원인과 인자간의 구체적인 인과관계를 밝히는 것도 필요할 것으로 보인다.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.277-279
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• 2003

The study utilizes remote sensing as the main monitoring means. With different spatial high-resolution, multichannel ASTER remote sensing image as the main information in Beijing city zone; with regional border and statistical data as auxiliary factor a study between the thermal space distribution character and the underground medium is analyzed based on the GIS logical algorithm and synthetic analysis technology. Results show thermal forming mechanism and the rule of distribution is mainly related to the underground medium and the change of the city distribution. Different underground medium has different degree and intensity influence on the thermal space distribution. Furthermore, urban greenbelt and water areas can reduce the thermal effect and large-scale greenbelt creates green island effect. In addition, Road net, residential area, population density, heat resources and so on have some positive effect on the thermal distribution, which increase the local temperature and intensity on the other hand. It is important to study the thermal distribution and its related factors, which contributes to the plan, construction and development of the city.

• Proceedings of the Korea Water Resources Association Conference
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• 2012.05a
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• pp.198-198
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• 2012

본 연구에서는 서울지방의 최근 10년간 우기시 강우자료를 이용하여 시공간패턴에 따른 강수의 변화를 분석하였다. 이를 위하여 GIS 기법, 강우사상 구분법 및 공간의 상관성 분석 등을 적용하였다. 본 연구의 대상지역인 서울은 북위 $37^{\circ}$34', 동경 $126^{\circ}$59' 부근에 위치하며 남북방향으로 30.3 km, 동서방향으로 36.8km에 걸쳐 있으며 그 면적은 약 $605.41km^2$이다. 또 서울 중앙에서는 한강이 동쪽에서 서쪽으로 흐르며 서울을 강북과 강남으로 양분하고 있으며, 서울을 관통하고 있는 한강으로 수많은 지천이 합류하고 있다. 이러한 지리적 특성들로 인하여 서울 지역의 기후는 매우 복잡한 양상을 나타내고 있다. 과거에는 서울지역에 강우관측소의 수가 매우 적어 이러한 현상을 분석하는데 한계가 있었으나 최근에 자동기상관측소(AWS)들의 확충으로 인하여 자료의 양이 넓어졌다. 본 연구에서는 이러한 자료들을 사용하여 강수의 시공간 패턴을 분석하고자 한다. 이를 위하여 강수의 사상을 구분하기 위한 방법인 IETD법(Inter Event Time Definition)을 적용하였으며, 요인분석 및 군집분석을 이용하여 서울의 강수 지역 구분 및 패턴 분석을 실시하였다. 이러한 분석을 통하여 최종적으로 최근 10년간 서울지방의 강수의 시공간 패턴을 제시하고자 하였다.

• Journal of KIBIM
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• v.9 no.1
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• pp.32-41
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• 2019

As population in Sarasota and Manatee Counties, Florida in the United States is projected to increase, land use changes from land development happen continuously. The more land development means the more impervious surfaces and stormwater runoff to Sarasota Bay, which causes critical impact on the resiliency of the ecosystem. In order to decrease its impact on water quality and the ecosystem function of Sarasota Bay, it is important to assess the resilient status of communities that create negative impacts on the ecosystem. Three types of guiding principles of resiliency for Sarasota Bay watershed are suggested. To assess resiliency status, three indexes - vulnerability index, socio-economic index, and ecological index are developed and analyzed by using geographic information system for each census tract in the two counties. Since each indicator for vulnerability index, socio-economic index, and ecological index is measured with different metrics, statistical standardizing method - distance from the best and worst performers is used for this study to directly compare and combine them all to show total resilience score for each census tract. Also, the ten most and the ten least scores for the total resilience index scores are spatially distributed for better understanding which census tracts are most or least resilient. As Sarasota Watershed boundary is also overlaid, it is easy to understand how each census tract attains its resilience and how each census tract impacts to Sarasota Bay ecosystem. Based on results of the resiliency assessment several recommendations, guidelines, or policies for attaining or enhancing resiliency are suggested.

• Proceedings of the Korea Water Resources Association Conference
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• 2016.05a
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• pp.49-49
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• 2016

The impact of land cover changes on streamflow of the Akaki catchment will be assessed using Soil and Water Assessment Tool (SWAT) model. The study will analyze the historical land cover changes (1993 to 2016) that have taken place in the catchment and its effect on the streamflow of the study area. Arc GIS will be used to analysis the satellite images obtained from the United States Geological Survey (USGS). To investigate the impact of land cover change on streamflow the model set up will be done using readily available spatial and temporal data, and calibrated against measured discharge. Two third of the data will be used for model calibration (1993?2000) and the remaining one-third for model validation (2001?2004). Model performance will be evaluated by using Nash and Sutcliff efficiency (NS) and coefficient of determination (R2). The calibrated model will be used to assess two land cover change (2002 and 2016) scenarios and its likely impacts of land use changes on the runoff will be quantified. The evaluation of the model response to these changes on streamflow will be presented properly. The study will contribute a lot to understand land use and land cover change on streamflow. This enhances the ability of stakeholder to implement sound policies to minimize undesirable future impacts and management alternatives which have a significant role in future flood control of the study area.

• Journal of the Architectural Institute of Korea Planning & Design
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• v.35 no.1
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• pp.117-125
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• 2019

The purpose of this study is to examine urban built environments associated with the walking behavior in order to identify the problem of urban infrastructure from the perspective of Universal design theory. Using the walkability criteria developed based on the findings of previous studies on Universal design theory and walking environment, the urban built environments in old town area of Seoul were evaluated. The results of the evaluation indicated that the pedestrian infrastructure in the study area had several shortcomings to improve in order to provide walking-friendly environments. First, the pedestrian infrastructure for visually impaired people were severely limited. Second, walking traffics in large portion of the street networks were interrupted by a variety of obstacles such as parked cars, signboards, and illegal street shops. Third, there were certain areas where the quality of pavement was not properly managed. In summary, this study provides an empirical data to understand the current situation of pedestrian infrastructure in the urban areas. Improvement of pedestrian infrastructure is needed to address the issues related to the mobility of the disabled people. It is also recommended to construct the GIS data on walking environment in order to develop and mange a long-term public investment plan for walking-friendly urban environments.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.3
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• pp.669-678
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• 2018

This study developed information technology infrastructures for building a driving environment analysis platform using various big data, such as vehicle sensing data, public data, etc. First, a small platform server with a parallel structure for big data distribution processing was developed with H/W technology. Next, programs for big data collection/storage, processing/analysis, and information visualization were developed with S/W technology. The collection S/W was developed as a collection interface using Kafka, Flume, and Sqoop. The storage S/W was developed to be divided into a Hadoop distributed file system and Cassandra DB according to the utilization of data. Processing S/W was developed for spatial unit matching and time interval interpolation/aggregation of the collected data by applying the grid index method. An analysis S/W was developed as an analytical tool based on the Zeppelin notebook for the application and evaluation of a development algorithm. Finally, Information Visualization S/W was developed as a Web GIS engine program for providing various driving environment information and visualization. As a result of the performance evaluation, the number of executors, the optimal memory capacity, and number of cores for the development server were derived, and the computation performance was superior to that of the other cloud computing.