• Korean Journal of Remote Sensing
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• v.39 no.5_4
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• pp.1145-1153
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• 2023

Urban trees play an important role in absorbing carbon dioxide from the atmosphere, improving air quality, mitigating the urban heat island effect, and providing ecosystem services. To effectively manage and conserve urban trees, accurate spatial information on their location, condition, species, and population is needed. In this study, we propose an algorithm that uses a high-resolution urban tree cover map constructed from deep learning approach to separate trees from the urban land surface and accurately detect tree locations through local maximum filtering. Instead of using a uniform filter size, we improved the tree detection performance by selecting the appropriate filter size according to the tree height in consideration of various urban growth environments. The research output, the location and height of individual trees in human settlement over Suwon, will serve as a basis for sustainable management of urban ecosystems and carbon reduction measures.

• Journal of Korea Technology Innovation Society
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• v.16 no.3
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• pp.630-649
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• 2013

Korea Meteorological Administration has promoted the next generation urban and rural smart weather service project. The purpose of this project is to provide the necessary information to urban and rural districts by using the subdivided meteorological information. This study attempts to assess the value of the next generation urban and rural smart weather service project by using contingent valuation method. According to estimating result, annual mean willingness to pay per household for the next generation urban and rural smart weather service project is 2,947 won.

• Journal of KIBIM
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• v.6 no.2
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• pp.19-28
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• 2016

Social costs analysis seeks to reveal the environmental effects of transportation policy. It delivers a sense of the effects of the public's daily travel and the costs that are or would be incurred from individual trips. Moreover, the accumulated total number of trips will uncover the effects of travel on society. This article shows the quantitative analysis of the economic outcomes of travel using social costs estimation methods. In order to support urban planning tasks, this research implemented analysis tool for social costs estimation by travel behavior. For a case study, a jave based application which can convert people's trip data into social costs is developed. the application used for simulating student-housing effects by estimating social costs changes. The analysis included the attributes, building scale and locational changes of the student housing as well as transforms of the students' trips.

• Journal of Korean Society for Geospatial Information Science
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• v.17 no.4
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• pp.81-86
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• 2009

This research is a part of the Intelligent Urban Facility Management project of the Korean Land Spatialization Group (KGSL). First, this study started from the investigation of existing u-City service model in order to drive essential components and considerations for the urban facilities management system. Considering the driven conclusions, this study finally proposed the new classification system of urban facilities management service model and the adequate application method in u-City.

• Journal of Korean Society for Geospatial Information Science
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• v.16 no.2
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• pp.23-29
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• 2008

This study deals with the systematic classification and analysis of urban facilities as a fundamental foundation of the intelligent and active management of urban facilities using Ubiquitous Sensor Network(USN). In the results of recent studies, the necessities and simple examples of USN application were already shown, but there were few studies about the systematic classification and specific application methods considering characteristics of urban facilities. In this study, we try to classify the main management characteristics of facilities and analyze the results, furthermore to contribute to the development of convergence of facility management and USN technology.

• Journal of Environmental Science International
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• v.16 no.11
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• pp.1209-1218
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• 2007

Advertisement signboards on the buildings have functionally a visual value as factor of urban and building design. But it is not easy to find any reasonable principles and regulations, how well the signboards deliver the information of stores to the customers, and how they contribute the visual amenity from the sight of urban landscape. Under this context, this study tries to analyze the information delivery power of signboards in relation to the visual cognition. The analysis method is the Two-Way ANOVA (Analysis of Variance) evaluation with factors, such as scale, amount and arrangement of signboards. The scale of letters or figures at Signboards is specified in 3 different sizes such as big, medium and small. The amount is classified into 5 grades from 100% to 20% installation. And the arrangement is divided into orderly and disorderly installation. As the results of the Two-Way ANOVA, the identical scale of signboards is much better for the awareness. And the orderly arrangement shows also the same result. Above all, including these two results, the 80% of installation showed the biggest different result of awareness.

• Journal of the Korean Institute of Rural Architecture
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• v.23 no.1
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• pp.51-58
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• 2021

The purpose of this study is to use urban regeneration management types through classification and step-setting of physical types by administrative dong as the basis data for future urban management plans in local small and medium cities. The analysis was conducted on the physical density of each administrative dong by setting the data on urban and architecture provided by the government as three elements: buildings, lots, roads, etc. Through the system classified in this study, Mokpo City's 23 administrative districts were divided into nine management types and three management steps. Methodology can be utilized to establish areas of similar areas within the city and to use them as basic data for planning management. It is meaningful that it is possible to extract areas that need actual regeneration and maintenance through physical density analysis and plan suitable projects.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2007.04a
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• pp.413-416
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• 2007

To construct road spatial information database, it is the main object of this study that an analysis of road factors and furthermore this is used to the rescue activities in case of urban disasters. When urban disasters such as earthquake or explosion cause fire and collapses people of the affected region happen to evacuate. But only to manage roads and monitor traffic volume, the road data is designed and managed using digital topographic map so it is short that the design of road spatial data to prevent disasters. In this study, we tried to suggest the evaluative factors of evacuation to design database : road width, traffic volume, the fixed or movable obstacles installed, the surrounding environments that dominate the land-use planning, the uses, materials, structures, sizes, and densities of the buildings. Thus, these could provide fundamental data to determine the disasters management planning for evacuation and rescue activities, to evaluate the riskiness, and to draw up hazard information map.

• Proceedings of the KSRS Conference
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• 2001.03a
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• pp.62-69
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• 2001

본 연구에서는 해상도가 상이한 시기별 위성영상과 GIS를 이용하여 경남 통영시 한산면 추봉도 지역의 소나무재선충(Bursaphelenchus Xylophilus) 피해지역을 탐지하고 다양한 영상처리를 통하여 이를 효율적으로 추출 할 수 있는 기법을 선정하였다. 연구결과 피해지역의 공간적 범위를 추출하기 위해서는 감독분류의 MHC(Mahalanobis Distance Classification)가 유용하였고 벌채 후의 토지피복 분류로 인한 피해지역 추출을 위해서는 MLC(Maximum Likelihood Classification)가 최적한 기법으로 나타났다. 아울러 이에 관련된 GIS를 구축하여 공간정보를 추출함으로써 피해지역의 공간적 분포특성을 규명하였는데 고도 약 120-160m, 경사 21$^{\circ}$-40$^{\circ}$ 그리고 서쪽 방향 사면에서 소나무재선충이 가장 활발하게 활동하였음이 밝혀졌다.

• Proceedings of the KSRS Conference
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• 2004.10a
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• pp.148-151
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• 2004

In this study the micro landform of tide flat in west Seohan bay. North Korea was classified and the change of this environment was detected by using Landsat TM. FTM+, KOMPAST. For this. ISODATA method of the unsupervised methods was used to classify the micro landform while tasseled cap method was used to detect the change of environment in west Seohan bay, North Korea by passing years. This study shows the possibility that the topography analysis and change especially in unapproachable area could be detected and monitored by using satellite images.