• 한국측량학회지
• /
• 제34권6호
• /
• pp.579-589
• /
• 2016

This research focuses on accomplishing analysis problems and issues by examining the policies and systems related to geo-spatial big data which have recently arisen, and suggests political and systemic improvement plan for service activation. To do this, problems and probable issues concerning geo-spatial big data service activation should be analyzed through the examination of precedent studies, policies and planning, pilot projects, the current legislative situation regarding geo-spatial big data, both domestic and abroad. Therefore, eight political and systematical improvement plan proposals are suggested for geo-spatial big data service activation: legislative-related issues regarding geo-spatial big data, establishing an exclusive organization in charge of geospatial big data, setting up systems for cooperative governance, establishing subsequent systems, preparing non-identifying standards for personal information, providing measures for activating civil information, data standardization on geo-spatial big data analysis, developing analysis techniques for geo-spatial big data, etc. Consistent governmental problem-solving approaches should be required to make these suggestions effectively proceed.

• Spatial Information Research
• /
• 제23권6호
• /
• pp.19-29
• /
• 2015

본 연구는 공간 빅데이터 서비스 활성화를 위한 정책과제 도출을 목적으로 수행하였다. 이를 위해 관련 선행연구를 검토하고, 국내 외 공간 빅데이터 관련 추진체계 및 정책현황을 분석하였다. 그 결과 미래 공간정보 융 복합 대응정책 미흡, 개인정보 보호 및 서비스 활성화 제도적 기반 미흡, 관련 기술 정책 마련 미흡, 공간 빅데이터 구축 활용을 위한 추진체계 미흡, 공공정보의 품질저하와 공유체계 미흡 등의 문제점이 도출되었다. 다음으로 도출된 문제점을 해결하기 위해 정책 추진방향을 설정하고, 공간 빅데이터 추진체계 마련, 관련 법 제도 개선, 공간 빅데이터 관련 기술 개발, 공간 빅데이터 지원 사업 추진, 공공DB 융 복합 공유체계 마련 총 5가지의 정책과제를 제시하였다.

• 환경정책연구
• /
• 제14권1호
• /
• pp.85-112
• /
• 2015

본 논문의 목적은 기후변화로 인한 재난으로부터 회복력이 높은 공간계획을 수립하기 위해 도시, 환경, 방재 분야 공간정보 현황을 분석하고 분야 간 공간정보 연계 활용방안을 제시하는 것이다. 이를 위해 문헌 자료 검토와 함께 관련 기관 담당자 전화 면접 인터뷰, 전문가 자문 등을 통해 분야별 공간계획 지침 및 공간정보 활용 현황을 파악하였다. 이러한 공간정보 조사결과를 통해 시 군 구 지자체 단위의 법정 공간계획 수립 시 각 분야에서 연계 활용 가능한 공간정보 목록을 도출하였다. 이러한 조사 결과를 바탕으로 기후변화 적응을 위한 공간계획 수립 시 도시, 환경, 방재 분야 간 공간정보 연계 및 정책적 활용 방안을 제시하였다.

• 한국실내디자인학회논문집
• /
• 제23권5호
• /
• pp.131-138
• /
• 2014

The purpose of this study is to examine spatial composition elements of the public sector through medium-sized first class urban hotels of Korea and Japan, the two countries with geopolitical closeness and high cultural and economic correlation, and to provide data needed for devising future urban hotel plans. The scope of this study included case studies on medium-sized first class urban hotels (10 urban hotels with concours composition type in the public sector) located in downtowns of Korea (5 hotels) and Japan (5 hotels). The study was conducted by analysis of drawing based on review of preceding studies and literature, and on-site survey. The results of survey and analysis on physical spatial elements shown in medium-sized urban hotels of Korea and Japan with concours composition type among composition types in the public sector are as follows. First, as a result of analyzing spatial elements of medium-sized urban hotels in the public sector, an in-depth checklist must be prepared with consideration on intimate correlation between elements to devise a construction spatial plan for urban hotel in the future. Second, as a result of comparatively analyzing area ratio for each function (public sector, sales sector and service sector) through area analysis on the lower floors of medium-sized urban hotels, reference data for planning were found in regards to spatial composition ratio of the public sector. Third, as a result of analyzing spatial elements of lobby hall and traffic line of visitors on the lower floors of medium-sized urban hotels in the public sector, there was a substantial difference between hotels of Korea and Japan.

• 대한원격탐사학회지
• /
• 제21권3호
• /
• pp.229-242
• /
• 2005

Photogrammetry is a current method of GIS data acquisition. However, as a matter of fact, a large manpower and expenditure for making detailed 3D spatial information is required especially in urban areas where various buildings exist. There are no photogrammetric systems which can automate a process of spatial information acquisition completely. On the other hand, LiDAR has high potential of automating 3D spatial data acquisition because it can directly measure 3D coordinates of objects, but it is rather difficult to recognize the object with only LiDAR data, for its low resolution at this moment. With this background, we believe that it is very advantageous to integrate LiDAR data and stereo CCD images for more efficient and automated acquisition of the 3D spatial data with higher resolution. In this research, the automatic urban object recognition methodology was proposed by integrating ultra highresolution stereo images and LiDAR data. Moreover, a method to enable more reliable and detailed stereo matching method for CCD images was examined by using LiDAR data as an initial 3D data to determine the search range and to detect possibility of occlusions. Finally, intellectual DSMs, which were identified urban features with high resolution, were generated with high speed processing.

• 대한건축학회논문집:계획계
• /
• 제36권5호
• /
• pp.53-58
• /
• 2020

The purpose of this study is to build a database of Spatial information Bigdata of cities using satellite images and spatial information, and to examine the correlations with the surface temperature. Using architectural structure and usage in building information, DEM and Slope topographical information for constructed with 300 × 300 mesh grids for Busan. The satellite image is used to prepare the Normalized Difference Built-up Index (NDBI), Normalized Difference Vegetation Index (NDVI), Bare Soil Index (BI), and Land Surface Temperature (LST). In addition, the building area in the grid was calculated and the building ratio was constructed to build the urban environment DB. In architectural structure, positive correlation was found in masonry and concrete structures. On the terrain, negative correlations were observed between DEM and slope. NDBI and BI were positively correlated, and NDVI was negatively correlated. The higher the Building ratio, the higher the surface temperature. It was found that the urban environment DB could be used as a basic data for urban environment analysis, and it was possible to quantitatively grasp the impact on the architecture and urban environment by adding local meteorological factors. This result is expected to be used as basic data for future urban environment planning and disaster prevention data construction.

• 토지주택연구
• /
• 제3권2호
• /
• pp.111-116
• /
• 2012

The primary purposes of this study are to identify the characteristics of land development in urban area through GIS and remote sensing techniques and to provide useful implications for urban spatial policy. To perform these tasks, Daegu metropolitan city and its vicinities were selected as a study area, and remote sensing data and attributed data were collected, organized and analyzed. This study focuses on the following three steps. First, it identifies the characteristics of land development in urban areas by utilizing multi-temporal satellite image data (Landsat TM, 1980, 1985, 1990, 1995, 2000 and 2005). Second, it tries to find an answer on a critical question concerning land use conversion, i.e., which land use leads expansion of urban area? Third, it derives implications for urban spatial policies based on these findings. The characteristics of the urban extents tell us that the main land use converted into urban use from non-urban uses is green areas. The public sector, central and local governments, leads the land use conversions of suburban lands as exclusive legal body to issue permission of land use change. Based on these findings, this study concludes that the more systematic and technically advanced management tools should be utilized for more effective spatial management for urban growth.

• 대한원격탐사학회:학술대회논문집
• /
• 대한원격탐사학회 2002년도 Proceedings of International Symposium on Remote Sensing
• /
• pp.388-393
• /
• 2002

Remote sensing data is collected and analyzed to enhance understanding of the terrestrial surface. Since Landsat satellite was launched in 1972, many researches using multispectral data has been achieved. Recently, with the availability of airborne and satellite hyperspectral data, the study on hyperspectral data are being increased. It is known that as the number of spectral bands of high-spectral resolution data increases, the ability to detect more detailed cases should also increase, and the classification accuracy should increase as well. In this paper, we classified the hyperspectral and multispectral data and tested the classification accuracy. The MASTER(MODIS/ASTER Airborne Simulator, 50channels, 0.4~13$\mu$m) and Landsat TM(7channels) imagery including Yeong-Gwang area were used and we adjusted the classification items in several cases and tested their classification accuracy through statistical comparison. As a result of this study, it is shown that hyperspectral data offer more information than multispectral data.

• 한국BIM학회 논문집
• /
• 제5권3호
• /
• pp.1-10
• /
• 2015

We have researched a character of BIM(Building Information Modeling) and GIS(Geographic Information System) data for integrated utilization of urban spatial data and building data for $CO_2$ reduction. We consider literature on integrated utilization of BIM and GIS and measure method of $CO_2$ in urban spatial unit. Among them without distortion of standard data structure, derive method how to install between BIM and GIS standard data. Rhino & Grasshopper is utilization tools of DB platform. The compatibility with existing BIM and GIS data format, graphic and numeric results can be output at the same time. And using the existing ARCHSIM, it can be easily combined for building energy analysis program. Based on BIM and GIS data to run an energy analysis target on Majang-dong, it could be poly synthetically derived the value information and graphic information.

• 한국지리정보학회지
• /
• 제24권2호
• /
• pp.40-51
• /
• 2021

본 연구의 목적은 지속 가능한 도시성장 관리를 위한 일환으로 도시균형발전을 위해 공간모델링 기법을 이용하여 도시공간 구조 진단하는 것이다. 도시공간구조는 다양한 활동의 상호작용이므로 공간구조 요소들의 패턴 변화 분석과 함께 요소들의 분석 결과를 연계하여 살펴볼 필요가 있다. 이를 위해 본 연구에서는 인구, 교통 분야에 대하여 접근하였으며, 대상지의 관련 법령에 따라 정의된 다양한 생활권별 공간구조를 분석하였다. 인구는 시계열별 변화 데이터를 공간통계기법인 Getis-Ord G_i^* 기법에 적용함으로써 인구 집중지역에 대한 군집 변화를 분석하였으며, 교통은 출퇴근 교통 O-D 데이터를 Social Network Analysis 기법에 적용함으로써 중심성 변화를 분석하였다. 분석결과 대상지 전체적으로 불균형이 심화되고 있었으며, 중심성의 변화가 분석되었다. 분석 결과는 다른 공간요인과 연계하여 해석함으로써 생활권별 도시공간구조를 전망하고 지속 가능한 도시성장관리를 위한 방향을 제시할 수 있었다. 이러한 결과는 해당 도시에서 진행되고 있는 도시정책뿐만 아니라, 전 세계 많은 도시에서도 급속한 도시발전과 통제할 수 없는 개발에 대응하기 위하여 도입하고 있는 다양한 도시 성장 관리 정책의 의사결정을 위한 도구로 활용할 수 있을 것이다.