• Journal of the Korean association of regional geographers
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• v.17 no.1
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• pp.96-108
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• 2011

In spite of arduous policy efforts to address the deprived region problem emerged in the rapid industrialization and urbanization processes since the 1960s, it is well acknowledged that there are some policy limitations. In a recent effort to improve the policy for the deprived regions, the national territory is divided into 4 groups such as urban, rural, growth promotion, and special situation areas and various policies for the deprived regions have been consolidated into a policy for the growth promotion areas. The purpose of the study is to classify the already-designated 70 growth promotion areas and examine the differentiated characteristics of different types in order to propose more regionally situated policy approach to the deprived areas. The study shows that the types of the 70 growth promotion areas are much differentiated one another in terms of internal characteristics and dynamics. It is therefore further argued that the policy efforts need to be area-specific in order to address the policy demand for the deprives regions in a more efficient way.

• Journal of the Korean Institute of Rural Architecture
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• v.26 no.2
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• pp.73-84
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• 2024

This study investigated the outpatient departments of Infectious Disease Hospitals by Region, which play an important role in establishing regional medical networking, to find a spatial structure that can provide a safe environment for efficient diagnosis and treatment, as well as a rational medical procedure in case of crisis. Department layout and adjacencies were derived by considering the access procedures according to patient classification, medical procedures by department, and connectivity with other departments. Based on the results derived by setting up zones according to infection control, activities, and objects, and analyzing the division of zones, the composition of areas by activities, movement flows by objects and treatment units, it can be used as basic data for the architectural plan of the Infectious Disease Hospital. Also, there are implications that can be used as basic data for planning related facilities by analyzing spatial relationships according to user behavior.

• Journal of Agricultural Extension & Community Development
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• v.30 no.2
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• pp.103-118
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• 2023

This study aims to develop the living SOC function index and classified classes using the GIS-based spatial analysis method by applying the "Central Place Theory" as basic data for classifying living areas necessary for establishing rural spatial strategies in Boryeong. Boryeong-si is classified as a southern living area in the northern living area, centering on Daecheon-dong, the first class, and it is analyzed that living services such as used car service procurement and education are needed, and the southern living area needs a mid- and high-vehicle service delivery system in Ungcheon-eup. It is believed that this study can provide important clues to the classification of central functional facilities suitable for rural centers, reinforcement of vulnerable functional facilities by living area, and provision of living services.

• Korean Association of Arts Management
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• no.56
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• pp.275-304
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• 2020

This paper discusses a way to differentiate contents and enhance the competitiveness of art spaces in rural regions through place assets, noting the growing number of rural art spaces and their great potential as cultural spaces in recent years. First, we surveyed existing research and resources to understand the current status and roles of rural art spaces in the context of theoretical discussions on place assets. Based on this, we classified place assets into physical, human, and symbolic elements. After that, we conducted two case studies that apply this classification. For the case studies on the Ami Art Museum and the Potato Flower Studio, we investigated the sites and conducted in-depth interviews with the directors following a qualitative research method. Our findings through the case studies show that Ami Art Museum and Potato Flower Studio remodeled closed school buildings, which are known as physical place assets in rural areas. However, there was a difference in utilizing other place asset elements, and this resulted in different types of differentiated contents. We found three types of rural art spaces from two case studies: inhabitant-friendly, artist-friendly, and tourist-friendly. Finally, in our research, we presented a method of utilizing place assets that differentiate rural art places along with a method for developing differentiated contents. To conclude, the significance of our study is that it attempted to find out a way to make rural art spaces sustainable, and sought cultural regeneration in rural areas through revitalization of rural art spaces.

• Korean Journal of Remote Sensing
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• v.30 no.4
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• pp.493-503
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• 2014

A hierarchical classification scheme, which can reduce the spectral ambiguity and also reflect crop cultivation patterns from past land-cover maps, is presented for the purpose of the early production of crop classification maps in large-scale crop areas. Specifically, the effects of mixed pixels are minimized not only by applying a hierarchical classification approach based on different spectral characteristics from crop growth cycles, but also by considering temporal contextual information derived from past crop cultivation patterns. The applicability of the presented classification scheme was evaluated by a case study of Iowa State in USA with time-series MODIS 250 m Normalized Difference Vegetation Index(NDVI) data sets and past Cropland Data Layers(CDLs). Corn and soybean, which are major crop types in the study area and also display spectral similarity, could be properly classified by applying different classification stages and accounting for past crop cultivation patterns. The classification result by the presented scheme showed increases of minimum 7.68%p and maximum 20.96%p in overall accuracy, compared with one based on purely spectral information. In addition, the combination of temporal contextual information during classification was less affected by the number of NDVI data sets and the best overall accuracy of 86.63% was achieved. Thus, it is expected that this classification scheme can be effectively used for the early production of large-area crop classification maps in major feed-grain importing countries.

• Proceedings of the Korea Water Resources Association Conference
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• 2004.05b
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• pp.1271-1275
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• 2004

The purpose of this study is to present a standardized scheme for providing agriculture-related information at various spatial resolutions of satellite images including Landsat +ETM, KOMPSAT-1 EOC, ASTER VNIR, and IKONOS panchromatic and multi-spectral images. The satellite images were interpreted especially for identifying agricultural areas, crop types, agricultural facilities and structures. The results were compared with the land cover/land use classification system suggested by Ministry of Construction & Transportation based on NGIS (National Geographic Information System) and Ministry of Environment based on satellite remote sensing data. As a result, high-resolution agricultural land cover map from IKONOS imageries was made out. The results by IKONOS image will be provided to KOMPSAT-2 project for agricultural application.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.10 no.4
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• pp.41-53
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• 2007

The Baekdudaegan Mountain Range is a backbone of the Korean Peninsula which carries special spiritual and sentimental signatures for Koreans as well as significant ecological values for diverse organisms. However, in spite of importance of this region, the forests of Baekdudaegan have been damaged in a variety of human activities by being used as highland vegetable grower, lumber region, grass land, and bare land, and are still undergoing destruction. The existing researches had determined the details of the damage through on-site and recent observations. Such methods cannot provide quantitative and integrated analysis therefore could not be utilized as objective data for the ecological conservation of Baekdudaegan forests. The goal of this study is to quantitatively analyze the forest damage in the Baekdudaegan preservation region through land cover categorization and change detection techniques by using satellite images, which are 1980s, and 1990s Landsat TM, and 2000s Landsat ETM+. The analysis was executed by detecting land cover changed areas from forest to others and analyzing changed areas' spatial patterns. Through the change detection analysis based on land cover classification, we found out that the deforested areas were approximately three times larger after the 1990s than from the 1980s to the 1990s. These areas were related to various topographical and spatial elements, altitude, slope, the distance form road, and water system, etc. This study has the significance as quantitative and integrated analysis about the Baekdudaegan preservation region since 1980s. These results could actually be utilized as basic data for forest conservation policies and the management of the Baekdudaegan preservation region.

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 2017.04a
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• pp.42-42
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• 2017

Prediction of rice yield during a growing season would be very helpful to magnify rice yield as it also allows better farm practices to maximize yield with greater profit and lesser costs. UAV imagery based automatic detection of rice can be a relevant solution for early prediction of yield. So, we propose an image processing technique to predict rice yield using low altitude UAV images. We proposed $L^*a^*b^*$ color space based image segmentation algorithm. All images were captured using UAV mounted RGB camera. The proposed algorithm was developed to find out rice grain area from the image background. We took RGB image and applied filter to remove noise and converted RGB image to $L^*a^*b^*$ color space. All color information contain in both $a^*$ and $b^*$ layers and by using k-mean clustering classification of these colors were executed. Variation between two colors can be measured and labelling of pixels was completed by cluster index. Image was finally segmented using color. The proposed method showed that rice grain could be segmented and we can recognize rice grains from the UAV images. We can analyze grain areas and by estimating area and volume we could predict rice yield.

• Journal of Korean Society of Rural Planning
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• v.18 no.4
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• pp.13-26
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• 2012

The purpose of this study is to select the study area, which will be formed into Daegu Science Park as an national industrial complex, and to assess the landscape value based on biotop classification with different polygon forms, and to develop and computerize Biotop Value Assessment Tool (B-VAT) based on GIS. The result is as follows. First, according to the result of biotop classification based on an advanced analysis on preliminary data, a field study, and a literature review, total 13 biotop groups such as forrest biotop groups and total 63 biotop types were classified. Second, based on the advanced research on landscape value assessment model of biotop, we development biotop value assessment tool by using visual basic programming language on the ArcGIS. The first application result with B-VAT showed that the first grade was classified into 19 types including riverside forest(BE), the second grade 12 types including artificial plantation(ED), and the third class, the fourth grade, and the fifth grade 12 types, 2 types, and 18 types respectively. Also, according to the second evaluation result with above results, we divided a total number of 31 areas and 34 areas, which had special meaning for landscape conservation(1a, 1b) and which had meaning for landscape conservation(2a, 2b, 2c). As such, biotop type classification and an landscape value evaluation, both of which were suggested from the result of the study, will help to scientifically understand a landscape value for a target land before undertaking reckless development. And it will serve to provide important preliminary data aimed to overcome damaged landscape due to developed and to manage a landscape planning in the future. In particular, we expect that B-VAT based on GIS will help overcome the limitations of applicability for of current value evaluation models, which are based on complicated algorithms, and will be a great contribution to an increase in convenience and popularity. In addition, this will save time and improve the accuracy for hand-counting. However, this study limited to aesthetic-visual part in biotop assessment. Therefore, it is certain that in the future research comprehensive assessment should be conducted with conservation and recreation view.

• Journal of Korean Society of Rural Planning
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• v.27 no.2
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• pp.13-22
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• 2021

As the measures for solving problems of modern city and farming & fishing villages through mutual cooperation and complementation, this study aims to present an integrated rural area development model by changing the farming & fishing villages from a food production-focused space to a service space for the whole nation including urban residents, into the direction of creating new vitality and jobs in farming & fishing villages. In order to establish a service space that could increase the life quality and happiness of the people, this study presented the K-FARM framework types that would integrate and arrange total four themes such as rental farm, experience farm, stay farm, and management farm. In case when this K-FARM framework is applied to rural areas adjacent to cities, especially farming & fishing villages around innovative cities, there would be great effects such as expansion of exchanges between public institutions and local residents of innovative cities. Especially, the theme model classified into four types could be applied suitable for the characteristics of farming & fishing village development project district that is currently operated. Meanwhile, to realize the construction of K-FARM framework, on top of demand analysis of rental farm, it would be also necessary to additionally analyze the urban residents' demand for experience farm and management farm.