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      • KCI등재

        퍼지집합 모델을 이용한 암설지형 분포 가능지 추출 연구

        위눈솔 ( Wi Nun-sol ),장동호 ( Jang Dong-ho ) 한국지형학회 2017 한국지형학회지 Vol.24 No.1

        Many debris landforms in the mountains of Korea have formed in the periglacial environment during the last glacial stage when the generation of sediments was active. Because these landforms are generally located on steep slopes and mostly covered by vegetation, however, it is difficult to observe and access them through field investigation. A scientific method is required to reduce the survey range before performing field investigation and to save time and cost. For this purpose, the use of remote sensing and GIS technologies is essential. This study has extracted the potential area of debris landform formation using a fuzzy set model as a mathematical data integration method. The first step was to obtain information about the location of debris landforms and their related factors. This information was verified through field observation and then used to build a database. In the second step, we conducted the fuzzy set modeling to generate a map, which classified the study area based on the possibility of debris formation. We then applied a cross-validation technique in order to evaluate the map. For a quantitative analysis, the calculated potential rate of debris formation was evaluated by plotting SRC(Success Rate Curve) and calculating AUC(Area Under the Curve). The prediction accuracy of the model was found to be 83.1%. We posit that the model is accurate and reliable enough to contribute to efficient field investigation and debris landform management.

      • KCI등재

        퍼지집합과 베이지안 확률 기법을 이용한 암설사면지형 분포지역 추출에 관한 연구

        위눈솔 ( Wi Nun-sol ),장동호 ( Jang Dong-ho ) 한국지형학회 2017 한국지형학회지 Vol.24 No.3

        The debris slope landforms which are existent in Korean mountains is generally on the steep slopes and mostly covered by vegetation, it is difficult to investigate the landform. Therefore a scientific method is required to come up with an effective field investigation plan. For this purpose, the use of Remote Sensing and GIS technologies for a spatial analysis is essential. This study has extracted the potential area of debris slope landform formation using Fuzzy set and Bayesian Predictive Discriminate Model as mathematical data integration methods. The first step was to obtain information about debris locations and their related factors. This information was verified through field investigation and then used to build a database. In the second step, the map that zoning the study area based on the degree of debris formation possibility was generated using two modeling methods, and then cross validation technique was applied. In order to quantitatively analyze the accuracy of two modeling methods, the calculated potential rate of debris formation within the study area was evaluated by plotting SRC(Success Rate Curve) and calculating AUC(Area Under the Curve). As a result, the prediction accuracy of Fuzzy set model wes 83.1% and Bayesian Predictive Discriminate Model wes 84.9%. It showed that two models are accurate and reliable and can contribute to efficient field investigation and debris landform management.

      • KCI등재

        지형요소를 기반으로 한 전북지역 논매기소리의 공간분포 특성 연구

        위눈솔 ( Nun-sol Wi ),장동호 ( Dong-ho Jang ) 한국사진지리학회 2016 한국사진지리학회지 Vol.26 No.2

        본 연구는 논매기소리의 지역성을 분석하고자 전라북도를 대상으로 지리적 공간분포 특성 및 지역구분을 실시하였다. 연구결과, 논매기소리의 시·군별 분포 특성은 노령산맥을 경계로 하여 순창군을 중심으로 하는 동부산간권과 고창군을 중심으로 하는 서부평야권으로 크게 구분할 수 있었다. 이중 동부산간권은 5개 유형의 논매기소리가 뚜렷한 공간분포 특성을 나타냈으며, 이를 기반으로 2개의 권역으로 다시 나눌 수 있었다. Ⅰ권역은 ``짧은 방아``, ``상사류``, ``무후렴 경상도 모노래``가 주로 불리는 지역으로 금강과 그 지류들이 흐르는 좁은 곡저평야가 형성된 곳을 따라 분포한다. Ⅱ권역은 ``싸호소리``와 ``담담설음류``가 주로 불리는 지역으로 크고 작은 분지를 중심으로 그 지류 하곡을 따라 분포하는 양상을 보인다. 최종적으로 두 권역의 경계선은 금강 유역과 섬진강 유역을 나누는 분수계로 각각금강 문화권과 섬진강 문화권을 형성한다 To Analyze the locality according to Nonmaegi song, this study was conducted to analysis about characteristic of geographical spatial distribution and division of Jeollabuk-do province. As a result, according to the characteristic of Nonmaegi song distribution for each si·gun, Jeollabuk-do could be largely divided into Eastern mountainous region and Western plain region by Noryeong Mountainous Range where pivot on Sunchang-gun and Gochang-gun respectively. Especially, the Eastern mountainous region could be divided into two realms by 5 types of song which showed the distinct characteristic of spatial distribution. Realm Ⅰ was the region where narrow river plains of Geumgang or the branch are located, and ``Banga in a fast tempo.``, ``Sangsa``, ``Gyeongsangdo rice seeding song`` are mainly sung. Realm Ⅱ was the region where the river vallies of lowland in great and small basins are located, and ``Ssaho`` and ``DamDamseoleum`` are mainly sung. Finally, Realm Ⅰ·Ⅱ form respectively Geumgang cultural realm and Seomjingang cultural realm by the watershed that divide into Geumgang basin and Seomjingang basin.

      • KCI등재

        국가토지피복도를 활용한 세종시의 토지피복 변화 분석

        김성훈 ( Kim Sung Hoon ),김찬수 ( Kim Chansoo ),위눈솔 ( Wi Nun Sol ),김도희 ( Kim Do Hui ),장동호 ( Jang Dong Ho ) 한국사진지리학회 2016 한국사진지리학회지 Vol.26 No.3

        본 연구는 국가토지피복도(2002∼2015)를 이용하여 세종특별자치시 건설에 따른 토지피복 변화를 탐지하고 분석의 한계점과 그에 따른 대안을 제시하고자 하였다. 단계별 토지피복 변화 분석을 통한 시기별 토지피복 변화를 분석 한 결과, 2002년에서 2009년 사이는 농업지역에서 주거/문화체육, 공업/상업, 교통/공공시설 등의 지역과 인공초지로의 변화가 특징적이었다. 2009년에서 2015년 사이는 농업과 산림지역에서 인공초지, 기타나지, 도로 등으로의 변화가 탁월하였다. 또한 최신 토지피복도를 이용한 과거 시기의 산림지 토지피복 및 보안지역에 대한 수정방안도 효과적인 것으로 나타났다. 이상과 같이 본 연구는 토지피복도를 활용하여 지표경관에 대한 변화를 정량적으로 파악하였고, 그 결과를 토대로 국가토지피복도의 활용성에 대해 검토할 수 있었다. 이와 같은 결과들은 환경적 변화요인 등을 반영한 환경정책수립과 환경부문 의사결정을 위한 기초자료로서 활용될 수 있을 것으로 기대된다. This study intended to detect land-cover change in Sejong city by development of a new town using national land-cover map(2002∼2015), and suggested limitations of analysis and alternative. According to result of time-series change analysis which was applied phased land-cover change detection, it showed the outstanding change characteristics in two periods. In the period of time 2002 to 2009, especially farmland had changed into residential/cultural area, industrial/commercial area, traffic/public facilities area, and artificial grassland. As well as, during the time 2009 to 2015, farmland and forest area had changed into artificial grassland, dry field, and road. Furthermore, the result also showed that modification method using the latest land-cover map about forest and security area is efficient. In conclusion, this study quantitatively figured out the change of land cover, and based on the result, it could review availability of national land-cover map. The desired result from this study was expected to utilized as base data to be establish an environmental policy and make decision for environmental sector reflecting environmental change factor.

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