• Journal of the Korean Association of Geographic Information Studies
• /
• v.20 no.1
• /
• pp.1-14
• /
• 2017

A land cover map provides basic information to help understand the current state of a region, but its utilization in the ecological research field has deteriorated due to limited temporal and spatial resolutions. The purpose of this study was to investigate the possibility of using a land cover map with data based on high resolution images acquired by UAV. Using the UAV, 10.5 cm orthoimages were obtained from the $2.5km^2$ study area, and land cover maps were obtained from object-based and pixel-based classification for comparison and analysis. From accuracy verification, classification accuracy was shown to be high, with a Kappa of 0.77 for the pixel-based classification and a Kappa of 0.82 for the object-based classification. The overall area ratios were similar, and good classification results were found in grasslands and wetlands. The optimal image segmentation weights for object-based classification were Scale=150, Shape=0.5, Compactness=0.5, and Color=1. Scale was the most influential factor in the weight selection process. Compared with the pixel-based classification, the object-based classification provides results that are easy to read because there is a clear boundary between objects. Compared with the land cover map from the Ministry of Environment (subdivision), it was effective for natural areas (forests, grasslands, wetlands, etc.) but not developed areas (roads, buildings, etc.). The application of an object-based classification method for land cover using UAV images can contribute to the field of ecological research with its advantages of rapidly updated data, good accuracy, and economical efficiency.

• Journal of the Korean Society for Library and Information Science
• /
• v.41 no.2
• /
• pp.257-276
• /
• 2007

The purpose of this study is to design the metadata for sharing and efficiently using the informations of Earth Observations in Korea. Recently the GEO(Group on Earth Observations) has been starting to manage all nation's informations in a way that benefits the environment as well as humanity by taking a pulse of the plants. For that reason, we have to construct the infra-system to manage and integrate the 12 social benefit areas in Korea; disaster, health, energy, climate, water, biodiversity, agriculture, forest, ocean, space information and geographical information system(GIS). But these informations have only been managed with varied metadatas in each area of observation, and then it is difficult to integrate varied informations. In this study, we solve the problem with meta-metadata.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2022.05a
• /
• pp.284-287
• /
• 2022

In order to respond to the complexity and uncertainty of water management due to the climate crisis, K-water established a digital twin water management platform based on our experience in operating ICT infrastructure such as hydrological data sensing and high-quality data management and water management capabilities. In this platform, data from related organizations and real-time observation data in the basin are displayed on 3D topographic domain. Also it is configured to support optimal decision-making through simulation for various situations, displaying and analyzing results, and feedback on them. It is completed to establish the platform for Sunjim river basin. Based on this technologies and experience, K-water is planning to expand this digital twin to 5 major rivers in Korea. Through this, it plans to build comprehensive decision-making system for efficient water management considering various conditions in entire basin. Also it aims to create a new water industrial ecosystem and contribute to secure technological competitiveness cooperating with private companies.

• 한국정보교육학회:학술대회논문집
• /
• 2021.08a
• /
• pp.361-368
• /
• 2021

Daily life such as society, economy, and culture is fundamentally changing due to COVID-19, and digital transformation based on information technology (IT) such as artificial intelligence, data, and cloud is accelerating. In this study, we focused on the metaverse, which is based on the interaction between the virtual world and the real world, and explored the possibility of using the metaverse-based platform for education. The metaverse-based platform was approached from the perspective of the online education ecosystem, which means that not only online teaching and learning activities but also holistic educational activities such as learning, communication, and empathy are performed within the metaverse. In this metaverse platform, learners can feel the presence of learning, and learning motivation and immersion can be promoted. In addition, it is possible to experience self-directed learning based on the autonomy of spatial movement. Although there are technical and ethical limitations to applying the metaverse platform, it would be preferable to focus more on the interaction between learners in the metaverse world rather than high expectations.

• Korean Journal of Remote Sensing
• /
• v.38 no.5_1
• /
• pp.627-646
• /
• 2022

Recently, the seriousness of climate change-related problems caused by global warming is growing, and the average temperature is also rising. As a result, it is affecting the environment in which various temperature-sensitive creatures and creatures live, and changes in the ecosystem are also being detected. Seasons are one of the important factors influencing the types, distribution, and growth characteristics of creatures living in the area. Among the most popular and easily recognized plant seasonal phenomena among the indicators of the climate change impact evaluation, the blooming day of flower and the peak day of autumn leaves were modeled. The types of plants used in the modeling were forsythia and cherry trees, which can be seen as representative plants of spring, and maple and ginkgo, which can be seen as representative plants of autumn. Weather data used to perform modeling were temperature, precipitation, and solar radiation observed through the ASOS Observatory of the Korea Meteorological Administration. As satellite data, MODIS NDVI was used for modeling, and it has a correlation coefficient of about -0.2 for the flowering date and 0.3 for the autumn leaves peak date. As the model used, the model was established using multiple regression models, which are linear models, and Random Forest, which are nonlinear models. In addition, the predicted values estimated by each model were expressed as isopleth maps using spatial interpolation techniques to express the trend of plant seasonal changes from 2003 to 2020. It is believed that using NDVI with high spatio-temporal resolution in the future will increase the accuracy of plant phenology modeling.

• Korean Journal of Agricultural and Forest Meteorology
• /
• v.8 no.4
• /
• pp.242-249
• /
• 2006

Potential impacts of the future climate change on crop production can be inferred by crop simulations at a landscape scale, if the climate data may be provided at appropriate spatial scales. Northern Gyunggi Province is one of the few prospective regions in South Korea for growing quality soybeans. Any geographical shift of production areas under the changing climate may influence the current land planning policy in this region. A soybean growth simulation was performed at 342 land units in northern Gyunggi province to test the potential geographical shift of the current production areas for quality soybeans in the near future (form 2011 to 2100). The land units for soybean cultivation were selected by the land use, the soil characteristics, and the minimum arable land area. Daily maximum and minimum temperature, precipitation, the number of rain days and solar radiation were extracted for each land unit from the future digital climate models (DCM, 2011-2040, 2041-2070, 2071-2100). Daily weather data for 30 years were randomly generated for each land unit for each normal year by using a well-known statistical method. They were used to run CROPGRO-Soybean model to simulate the growth, phonology, and yields of 3 cultivars representing different maturity groups grown at 342 land units. According to the model calculations, the warming trend in this region will accelerate the flowering and physiological maturity of all cultivars, resulting in a 7 to 9 days reduction in overall growing season and a 1 to 15% reduction in grain yield of early to medium maturity cultivars. There was a slight increase in grain yield of the late maturing cultivar under the projected climate by 2070, but a decreasing tend was dominant by the year 2100.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.10 no.4
• /
• pp.153-167
• /
• 2007

Dokdo research has been worked in various fields. However, the continuous accumulation and systematic management of Dokdo research data on marine science haven't been made. In particular, a systematic database system hasn't been established for the research data on marine environment and ecosystem in Dokdo and its surrounding sea. Therefore, GIS database construction on a spatial basis is required for the systematic management and efficient use of Dokdo marine research data, and a marine data model on a GIS basis is needed on the design stage to build the database. In this study, we collected previous observed marine data, and classified them as three groups, such as a framework data group on a GIS basis, a research data group and a thematic data group, according to the data types and characteristics. Moreover, the attributes of each research data were designed to be connected to GIS framework data. The result of the study to build an integrated GIS data model may be useful for developing a management system for marine research data observed in other sea as well as Dokdo.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.5 no.1
• /
• pp.48-57
• /
• 2002

River plays an important role both to nature and people. Also considering the limitation of land and water resources coupled with the continuous urbanization and industrialization of Korea, the effective river management becomes more and more important. The evaluation units consisted of main 3 factors(13 detail factors) are classified 5 grade and 5 scores system. The survey area was divided and selected by 5 zones in Musim-cheon river. The final result of evaluation for 5 Zone is good near natural river following next order; 1 (4.07), 2 (3.56), 5 (3.4), 4 (3.1) and 3 Zone(2.6 score) On this condition, the main purpose of this study was to apply GIS(geographic information system) spatial analysis for evaluation method of river naturalness in order to promote the river management and the process of ecological restoration of river corridors.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.11 no.4
• /
• pp.85-93
• /
• 2008

The MAEULSOOP, Korean traditional village groves have been installed and survived since 7th Century to serve local village dwellers as a community forest. The common sense of their reasons for being is related to the surroundings such as hills, waterways and wind-ways. To understand the roles in a local community, spatial characteristics of distribution, locations and shapes were tested at the two-characterized regions, the Southwestern Flat Region and the Eastern Hilly Region. Approximately more than 500 written evidences related to trees and forests were surveyed, for example village names, folk tales and lists of designated trees for protection. Twenty sites in each region were selected and tested for the spatial analysis. Aerial photographs, DEM and the ArcGIS with a modified AML for slope analysis are applied based on the criteria of the KLCIS(Kwon, 2002; 권진오, 2008). The major factors in the role of the MAEULSOOP based on the spatial character of two regions are; the array and locations of hills for encircling or exposure, locations against corridors and waterway or not, locations of the community to serve, the conservation of energy. Although locations and shapes of the MAEULSOOP are slightly different, it seems that one of the prime roles is what makes their everyday life difficult the most in the community.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
• /
• 2004.03a
• /
• pp.599-605
• /
• 2004

기존의 구축된 GIS 컴포넌트 혹은 개발 중이거나 향후개발을 목표로 설계단계에 있는 컴포넌트들의 최종 목표는 재사용성과 상호운용성의 가능성 여부이다. 하지만 컴포넌트 개발에 있어 시스템 개발환경의 다양성으로 인하여 그 재활용성은 생각만큼 쉬운 작업이 아니며, 특히 공간정보를 다루고 있는 GIS(Geographic Information System)분야에서의 GIS 컴포넌트 재활용은 전 세계의 산재한 각 데이터형의 포맷, 개발 환경, 운영환경을 고려하여 볼 때 시급한 일임에도 불구하고 그에 대한 노력이 상당히 미진한 실 정 이 다. 본 논문에서는 GIS 애플리케이션을 보다 효율적이고 유용하게 개발하기 위하여 GIS 컴포넌트의 개발과 관리에 이르는 전 과정을 관리 감독할 수 있는 COGIS(Component Oriented Geographic Information System)을 제안하고, COGIS 프로세스의 가이드라인이며 GIS 컴포넌트의 기능적인 면을 정의하기 위한 GCA(GIS based Component Architecture) 아키텍처를 제안하였다. 아울러 GIS 컴포넌트의 메타데이터를 분류 및 정의하여 GIS 컴포넌트의 비 기능적면을 제시하고 이를 이용하여 웹 기반 GIS 컴포넌트 등록/검색 에이전트 시스템을 개발하였으며 기존 GIS 컴포넌트 재사용 및 확장, 신규 컴포넌트의 등록, 검색이 가능하도록 한다. 사례연구로 웹 상에서 산불 발생 위험지수 표출을 위한 GIS 공간 분포도 작성이 쉽게 이루어지도록 2FDRV.avx와 2FDRC.exe 컴포넌트를 개발하였으며, COGIS 프로세스의 컴포넌트 관리방법을 통하여 여러 관련 컴포넌트를 조합함으로써 웹 기반 산불위험지수예보시스템을 구축하였다.입력 근거의 확보’, ‘갱신주체별 역할의 정의 및 유지관리 기준의 설정’, ‘분야별업무 특성을 고려한 관련 기준의 마련 및 타 시스템과 연계되는 항목을 고려한 절차 정의’ 등에 대한 다양한 접근을 시도하였다. 본 연구에서 제시하는 유지관리 모델을 기반으로 각 지자체별로 적절한 컨설팅이 진행되고 이에 따라 담당자의 실천이 이루어진다면 지자체 GIS의 투자대비 효과에 대한 기대는 이상이 아닌 현실로 다가오게 될 것이다.가오게 될 것이다. 동일하게 25%의 소유권을 가지고 있다. ？스굴 시추사업은 2008년까지 수행될 계획이며, 시추작업은 2005년까지 완료될 계획이다. 연구 진행과 관련하여, 공동연구의 명분을 높이고 분석의 효율성을 높이기 위해서 시료채취 및 기초자료 획득은 4개국의 연구원이 모여 공동으로 수행한 후의 결과물을 서로 공유하고, 자세한 전문분야 연구는 각 국의 대표기관이 독립적으로 수행하는 방식을 택하였다 ？스굴에 대한 제1차 시추작업은 2004년 3월 말에 실시하였다. 시추작업 결과, 약 80m의 시추 코아가 성공적으로 회수되어 현재 러시아 이르쿠츠크 지구화학연구소에 보관중이다. 이 시추코아는 2004년 8월 중순경에 4개국 연구팀원들에 의해 공동으로 기재된 후에 분할될 계획이다. 분할된 시료는 국내로 운반되어 다양한 전문분야별 연구에 이용될 것이다. 한편, 제2차 시추작업은 2004년 12월에서 2005년 2월 사이에 실시될 계획이다. 수백만년에 이르는 장기간에 걸쳐 지구환경변화 기록이 보존되어 있는 ？스굴호에 대한 시추사업은 후기 신생대 동안 유라시아 대륙 중부에서 일어난 지구환경 및 기후변화를 이해함과 동시에 이러한 변화가 육상생태계 및 지표지질환경에 미친 영향을 이해하는데 크게 기여할 것이다.