• 대한원격탐사학회지
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• 제37권3호
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• pp.409-418
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• 2021

토지피복도는 국토정책, 환경정책을 위한 의사결정 근거 자료로 활용되는 매우 중요한 자료이다. 토지피복도는 원격탐사 자료를 활용하여 제작되는데, 이때 사용되는 데이터의 취득 시기에 따라 동일한 지역을 대상으로 하더라도 분류 결과가 달라질 수 있다. 본 연구에서는 단시기 데이터의 분류 정확도를 개선하기 위해 다중시기 위성영상을 활용하였으며 계절에 따른 지표면의 분광 반사 특성 차이를 딥러닝 알고리즘의 하나인 U-Net 모델에 학습시켜 분류하였다. 또한 단시기 분류 결과와 정확도 비교를 통해 분류 정확도의 향상 정도를 비교하였다. 구역 내에 30%의 녹지와 한강을 포함하여 다양한 토지피복으로 이루어진 서울특별시를 연구대상지로 설정하고 2020년 분기별 Sentinel-2 위성영상을 산출하였다. 대한민국 환경부에서 작성한 세분류 토지피복도를 활용하여 U-Net 모델을 학습시켰다. 학습한 U-Net 모델을 통해 단시기, 2시기, 3시기, 4시기로 모델을 학습하여 분류한 결과, 단시기를 제외하고 토지피복도 분류 정확도 확보기준인 75%를 상회하는 81%, 82% 79%의 정확도를 나타냈다. 이를 통해 다중 시계열 학습을 통해 토지피복의 분류 정확도 향상이 가능하다는 것을 확인하였다.

• 산업경영시스템학회지
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• 제35권3호
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• pp.192-203
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• 2012

As a leading nation of ubiquitous technology, South Korea has been promoting u-City pilot projects throughout the country. According to 'Fundamental Construction Law of u-City,' u-City projects are classified into old-town and new-town types. However, most projects have focused only on the new-town type. Pushing forward large-scale land development projects, Korea Land and Housing Corporation (LH Co.) under Ministry of Land Transport and Maritime Affairs (MLTM) has gained a development profit out of the u-City infrastructure and then donated the infrastructure to a local government without making any plan for operations. In the process of u-City pilot projects, old-towns have been relatively ignored and various of unexpected problems have emerged. Building the u-City of an old-town is not easy due to many constraints such as huge initial investment, long validity and verification procedures, lack of useful services for citizens, lack of professional outsourcing methods for business promotion, high operating costs of the integrated control center, inadequate law related, insufficient institutional requirements and so on. This paper introduces a case study on u-City development for an old-town, Ansan City, as a private investment project. The case will help boost u-City projects for old-towns by solving their problems and providing an effective operational mechanism. As the first BTL (Build-Transfer-Lease) project for constructing u-City, 'Broadband Information Network Development Project' of Ansan City will provide a reference model of expanding u-City projects for other cities.

• 농업과학연구
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• 제25권1호
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• pp.138-147
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• 1998

U-turn migration is one of the prominent phenomenon after IMF controlled Korean economy. However a number of U-turn migrants were settled in rural area before that time. This paper is aims at studying the socio-economic effects of U-turn migration in rural area. The study results are summarized as follows; First, migrants are relatively young and engaged in overall parts of the farming. The farmer with age under 50 is represented at 71.4% of migrants comparing with 53.7% of those farmers in rural area. Second, owing to the increasing number of U-turn migrants, the decreasing price of rural wages, the decreasing of idle land, and the increasing price of farm land are the outstanding phenomenon at present. Third, even though there are many kinds of supporting systems for U-turn migrants, the systems are not so successfully functioned. For the successful supporting system they must be changed for the individual migrant rather than target group.

• Ocean and Polar Research
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• 제37권1호
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• pp.23-35
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• 2015

A 450 m-long sediment section was recovered from Hole U1359D located at the eastern levee of the Jussieau submarine channel on the Wilkes Land continental rise (East Antarctica) during IODP Expedition 318. The age model for Hole U1359D was established by paleomagnetic stratigraphy and biostratigraphy, and the ages of core-top and core-bottom were estimated to be about 5 Ma and 13 Ma, respectively. Biogenic opal content during this period varied between 3% and 60%. In the Southern Ocean, high biogenic opal content generally represents warm climate characterized by the increased light availability due to the decrease of sea-ice distribution. The surface water productivity change in terms of biogenic opal content at about 10.2 Ma in the Wilkes Land continental rise was related to the development of Northern Component Water. After about 10.2 Ma, more production of Northern Component Water in the North Atlantic caused to increase heat transport to the Southern Ocean, resulting in the enhanced diatom production. Miocene isotope events (Mi4~Mi7), which are intermittent cooling intervals during the Miocene, appeared to be correlated to the low biogenic opal contents, but further refinement was required for precise correlation. Biogenic opal content decreased abruptly during 6 Ma to 5.5 Ma, which most likely corresponds to the Messinian salinity crisis. Short-term variation of biogenic opal content was related to the extent of sea-ice distribution associated with the location of Antarctic Polar Front that was controlled by glacial-interglacial paleoclimate change, although more precise dating and correlation will be necessary. Diatom production in the Wilkes Land continental rise increased during the interglacial periods because of the reduced sea-ice distribution and the southward movement of Antarctic Polar Front.

• 한국항행학회논문지
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• 제11권3호
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• pp.343-349
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• 2007

본 연구에서는 전형적인 패턴인식 기법을 적용한 지적도면 인식 방법의 시간지연 문제를 해결하기 위하여 퍼지추론을 이용한 지적도면 인식 방법을 제안하였다. 퍼지 입력 파라미터는 지적도면에 있는 선분의 굵기와 색, 문자 및 숫자를 활용하였다. 퍼지 관계맵(Fuzzy Association Map: FAM)을 생성하였고 추론결과 지적도에서 서비스에 필요한 정보들을 추출 할 수 있었다. 결과물은 지적도를 이용하여 건축물이 들어설 수 있는 공간을 예측하고 이를 3차원으로 자동 형성시키는 방안의 전 단계 과정인 바, u-Gov 기반의 토지 등기 열람 서비스 사업과 인터넷 민원서비스 고도화 사업과 연계하여 적용 시킬 수 있다.

• 한국지리정보학회지
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• 제25권4호
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• pp.63-80
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• 2022

현실의 공간을 가상의 공간으로 구현하여 문제를 분석하고 예측하는 기술이 개발되면서, 복잡한 도시 내의 정밀한 공간정보를 취득하는 것이 중요해지고 있다. 본 연구는 복잡한 경관을 가진 도시지역을 대상으로 무인항공기를 통해 영상을 취득하고 고해상도 영상에 적합한 영상분류 기법인 객체기반 영상분석 기법과 의미론적 분할 기법을 적용하여 토지피복 분류를 수행하였다. 또한, 동일시기에 수집된 영상을 바탕으로 인공지능이 학습하지 않은 지역에 대해 각 인공지능 모형의 토지피복 분류 재현성을 확인하고자 하였다. 학습 지역을 대상으로 인공지능 모형을 학습하였을 때, 토지피복 분류 정확도가 OBIA-RF는 89.3%, OBIA-DNN은 85.0%, U-Net의 경우 95.3%로 분석되었다. 재현성을 평가하기 위해 검증 지역에 인공지능 모형을 적용하였을 때, OBIA-RF는 7%, OBIA-DNN은 2.1%, U-Net은 2.3%의 정확도가 감소하였다. 형태학적인 특성과 분광학적인 특성을 모두 고려한 U-Net이 토지피복 분류 정확도 및 재현성 평가에서 우수한 성능을 보이는 것으로 나타났다. 본 연구의 결과는 정밀한 공간정보가 중요해짐에 따라 기초자료 생성 방법으로써 도시환경 연구분야에 기여할 수 있을 것으로 판단된다.

• 한국디지털정책학회:학술대회논문집
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• 한국디지털정책학회 2007년도 춘계학술대회
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• pp.325-332
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• 2007

The purpose of this study is to get a politic advanced idea to operate a pro-environment based u-city through the overcome problems on the construction policy for the even areal distribution, and the development for the model structure of the high level. Advanced pro-environmental ubiquitous urban construction becomes an example of the practical level linked by the national agenda as uKorea policy. The Idea of the national land informal ion systems transforms to enhance or to guide the national strategic industry to implement balanced development as grand objectives of the national land due to the factor that 'the economic development 5 years plan' altered to 'the national land 5 years plan'. Therefore, ubiquitous echo city construct ion becomes realized as static spatial informal ion construct ion and dynamic mobile based ubiquitous lives operable by the information infrastructure and IT839 policy items operation. For the synergy effects through this task, it requires a strong empowerment of the information industries and a new growing core engine of the national economy through the policy of the mutual satisfaction on the spat io-temporal information and the pro-environment information systems.

• 한국광물학회:학술대회논문집
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• 한국광물학회 1996년도 유황비료 국제 심포지엄
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• pp.81-89
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• 1996

영국을 비롯한 유럽의 많은 농경지에서는 대기 중으로 아황산가스의 방출량 감소로 유황의 천연공급이 적어짐에 따라 일부 농작물의 수량 감소로 이어졌다. 반대로 자연식생하의 토양에서는 이같은 산성물질의 강하로 산성화가 진행되고 있다. 산성화의 범위와 정도를 규명하기 위하여 산성 물질의 임계부하량 연구를 추진하게 되었다. 이 결과 스코틀랜드의 많은 지역의 토양이 부하량 이상으로 산성물질이 강하되어 식물 및 생태계생존과 다양성을 위협하는 것으로 나타났다.

• 한국대기환경학회지
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• 제25권3호
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• pp.196-210
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• 2009

The land surface precesses is very important to predict urban meteorological conditions. Thus, the latest land use data set to reflect the rapid progress in urbanization was applied to simulate urban thermal environment in Daegu. Because use of the U.S geological Survey (USGS) 25-category data, currently in the fifth-generation Pennsylvania State University-National Center for Atmospheric Research Mesoscale Model (MM5), does not accurately described the heterogeneity of urban surface, we replaced the land use data in USGS with the latest land-use data of the Korea Ministry of Environment over Daegu. The single urban category in existing 24-category U.S. Geological survey land cover classification used in MM5 was divided into 5 classes to account for heterogeneity of urban land cover. The new land cover classification (MC-LULC) improved the capability of MM5 to simulate the daytime part of the diurnal temperature cycle in the urban area. The 'MC-LULC' simulation produced the observed temperature field reasonably well, including spatial characteristics. The warm cores in western Daegu is characterized by an industrial area.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume II
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• pp.647-650
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• 2006

Compact Airborne Spectrographic Imager (CASI) hyperspectral imagery was acquired over the Little Miami River Watershed (1756 square miles) in Ohio, U.S.A., which is one of the largest hyperspectral image acquisition. For the development of a 4m-resolution land cover dataset, a hierarchical approach was employed using two different classification algorithms: 'Image Object Segmentation' for level-1 and 'Spectral Angle Mapper' for level-2. This classification scheme was developed to overcome the spectral inseparability of urban and rural features and to deal with radiometric distortions due to cross-track illumination. The land cover class members were lentic, lotic, forest, corn, soybean, wheat, dry herbaceous, grass, urban barren, rural barren, urban/built, and unclassified. The final phase of processing was completed after an extensive Quality Assurance and Quality Control (QA/QC) phase. With respect to the eleven land cover class members, the overall accuracy with a total of 902 reference points was 83.9% at 4m resolution. The dataset is available for public research, and applications of this product will represent an improvement over more commonly utilized data of coarser spatial resolution such as National Land Cover Data (NLCD).