• Journal of the Korean Association of Geographic Information Studies
• /
• v.24 no.3
• /
• pp.73-82
• /
• 2021

Rural roads are the significant infrastructure for developing and managing the rural areas, hence the utilization of the remote sensing datasets for managing the rural roads is necessary for expanding the rural transportation infrastructure and improving the life quality of the rural residents. In this research, the two different methods such as image classification and image segmentation were compared for mapping the rural road based on the given high-resolution satellite image acquired in the rural areas. In the image classification method, the deep learning with the multiple neural networks was employed to the given high-resolution satellite image for generating the object classification map, then the rural roads were mapped by extracting the road objects from the generated object classification map. In the image segmentation method, the multiresolution segmentation was employed to the same satellite image for generating the segment image, then the rural roads were mapped by merging the road objects located on the rural roads on the satellite image. We used the 100 checkpoints for assessing the accuracy of the two rural roads mapped by the different methods and drew the following conclusions. The image segmentation method had the better performance than the image classification method for mapping the rural roads using the give satellite image, because some of the rural roads mapped by the image classification method were not identified due to the miclassification errors occurred in the object classification map, while all of the rural roads mapped by the image segmentation method were identified. However some of the rural roads mapped by the image segmentation method also had the miclassfication errors due to some rural road segments including the non-rural road objects. In future research the object-oriented classification or the convolutional neural networks widely used for detecting the precise objects from the image sources would be used for improving the accuracy of the rural roads using the high-resolution satellite image.

• Journal of agriculture & life science
• /
• v.43 no.1
• /
• pp.61-71
• /
• 2009

The objectives of this study were to confirm the necessity of classifying rural areas into several zone, which is being required to carry out vanous regional development projects in rural areas sponsored by govermnent effectively, make the standard for the classification. To summarize the results obtained from this study are as follows Based on the evaluation on the resource amount, the region of eup and myeon in the five gun were classified into five type(A, B, C, D, E). From the classification result, 6 eup and myeon were classified into A type, 13 eup and myeon into B type, 14 eup and myeon into C type, 18 eup and myeon into D type, 11 eup and myeon into E type. This showed that the five belts were distributed evenly in the five gun. The regions of eup and key myeon in each gun were classified into A type(Urbanization). The evaluation on the resource amount of the region that held beautiful view of nature and great tourist attractions was high although the region was close to E type (Mountains) in geographical feature. The regional characteristics of each eup or myeon are different although eup and myeon that were located in the same gun or adjacent each other. Therefore, it is thought that when the project for development of rural areas is planned, the regional characteristic of each eup and myeon should be considered to utilize the potential of each region fully. In summary, it is believed that to get productive results from the development Project in rural areas, strategics should be different based on the regional characteristic of each zone.

• Journal of Korean Society of Rural Planning
• /
• v.30 no.2
• /
• pp.79-96
• /
• 2024

The purpose of this study is to analyze the factors affecting residential mobility between urban and rural. After classifying urban and rural region based on discriminatory attributes of the regions, we applied a multinomial logistic model, using the sample data of 2020 Korea Population and Housing Census. The major findings are as follows. The young highly educated in cities avoided rural. The young less educated in rural engaged in 2, 3th industries as well as agricultural industry, but remained in low-paying and unstable jobs. In addition, various classes moved to rural and rising house prices in cities pushed people to rural. Therefore, it is necessary to develop diversified regional industry models and provide opportunities for high quality and stable jobs in rural by linking industrial demand, education and jobs. Also, preserving the rural environment, settlement conditions and residential environment are needed for satisfying various needs of urban residents who migrate to rural areas. While regional policies so far have focused on maintaining the population size and promoting a population influx, rural development and population policies should be established in a way that responds to diverse population classes in an era of population decline.

• Journal of Korean Elementary Science Education
• /
• v.26 no.1
• /
• pp.41-48
• /
• 2007

The purpose of this study is to examine how many plant names elementary school children how, and what kind of criteria they use for classifying these plants. The sample involved 926 students from the 2nd, the 4th, and the 6th grades dwelling in one urban, three suburban, and six rural areas. Their level of perception on the name of plants increased in correlation to the elevation of the grade level. However, different patterns of increases were shown depending on the local environments in which they live. The most well-known plant names for students were the rose of Sharon, the rose and the pine tree. The students mostly classified the plants using the following criteria such as 'with or without flower' and 'edible or inedible' regardless as to whether they had prior loaming experience of plant classification. 65.3% of the 6th graders correctly grouped 5 kinds of plants into the flowering and the non-flowering plant categories at the 1st level of classification. However, only 17.9% and 7.7% correctly divided the flowering and the non-flowering plants into two subgroups at the 2nd level of classification respectively. Therefore, their abilities in plant classification was shown overall to be poor. The students living in suburban areas appeared to be harmonized with both the natural and urbanized surroundings and classified the plants more scientifically than those from the urban or rural areas were able to. This suggests that the conception of plant classification by children is affected by the environment in which they live. If children have more opportunities to observe plants in surroundings such as their classrooms and school gardens, it will help them to form the relevant scientific concepts as well as to correct any alternative conceptions related to classification.

• The Korean Journal of Community Living Science
• /
• v.27 no.1
• /
• pp.95-108
• /
• 2016

The objectives of this study are to analyze the characteristics of multi-cultural families in rural areas and to classify their types by applying multi-variate techniques and cluster analyses. Data for the study were obtained by a surveying 120 married migrant females in rural areas of Chungchengnam-do, South Korea. By utilizing the factor analysis to analyze the characteristics of multi-cultural families, 16 basic variables related to these female subjects were categorized into 6 factors: 'marriage length and age', 'language skill of migrant female', 'language skill of husband', 'family satisfaction', 'income and education', and 'general living satisfaction in Korea with remittance'. By appling the cluster analysis, multi-cultural families in rural areas were divided into the following 5 types: 'stable settlement', 'average but stagnant', 'below average yet positive', 'high- income with little communication', and 'young low-income'. In all types, it is strongly recommended to develop various programs regarding vocational education for the migrant females in order to increase their economic opportunities as well as social status.

• Journal of Korean Society of Rural Planning
• /
• v.16 no.4
• /
• pp.33-43
• /
• 2010

Amenity landscapes in rural areas are becoming increasingly important as a resources to vitalize the rural areas. Befitting the times, The objectives of this study were 1) Extracting Landscape Evaluation photos: research preferences of 93 Photos taken from 15 site and analyze the possibility of Classification. select 12 photos for Image survey. 2)Adjectives select: Preliminary investigation into the 45 selected adjectives and adjectives by taking expert group of 21 adjectives were selected. Through reliability analysis, 19 adjective pairs were used to survey and factor analysis of images of landscape photographs. 3)Psychological characteristics of agricultural landscape survey and analysis: Psychological research on landscape photos and factor analysis, the agricultural production landscape to explain the 4 factors were extracted. And, each factor was discussed in relation to agricultural landscape.

• Journal of Korean Society of Rural Planning
• /
• v.15 no.3
• /
• pp.81-87
• /
• 2009

It may be said that a farmer's crisis deepens from the number of farm households and a trend of the number of cultivated land of the farmer attracting attention for the most fundamental numerical value of the Census of Agriculture 2005. A rate of decline of number of farm households seems to have been stopped, but expansion lasts a number of farm households rate of decline. I can, so to speak, watch weakening of flatland area and luck of mountainous areas and a situation to say if I look in that according to classification agricultural area. I can nominate the effect of a direct payment system for farmers in hilly and mountainous areas enforced in 2000 for the background. It is located in case of the policy introduced preceding it while the rural community and the community including the urban area being paid attention as the last resort of a regional reproduction now. In particular, the character as the village activation subsidy has been strengthened in case of the 2nd stage institutional revise.

• Journal of Korean Society of Rural Planning
• /
• v.13 no.3
• /
• pp.73-82
• /
• 2007

Recently, plans to revitalize rural areas in addition to farming are actively having been groped since given agricultural conditions destituted. One of the plan is the 'Rural Tourism' which to sell to urbanites by merchandising rural and pleasant characteristics possessed by rural areas. As a part of the rural-urban exchange, analyzed the features of the experience programs operated by each village by selecting 152 rural-mountain villages where is supporting and presented results by synthesizing above conclusion. The results acquired through such research are as following. Currently, villages operate mainly with the experience program related to general agricultural life styles by synthesizing special features of experience programs with high frequency in operations as the present status of the rural-mountain villages and showed negative trends dependant to the existing natural resources and easy in operations. Moreover, the operation of the experience which are expected to publicize the village and create large incomes were insufficient, analyzed not to be stimulate purchasing activities by lack of connections among experience programs and only simple staged experiences are mainly operated due to low operation frequency of experience programs which can be operated with special interests or professional characteristics.

• Korean Journal of Agricultural Science
• /
• v.38 no.1
• /
• pp.153-162
• /
• 2011

This study analyzed the spatio-temporal change detection of land-use and urbanization in Yongin and Anseong regions, Kyunggi Province, using three Landsat-5 TM images for 1990, 1996, and 2000. Remote sensing (RS) and geographic information system (GIS) techniques were used for image classification and result analysis. Six land-use types were classified using supervised maximum likelihood classification. In the two study areas, the land-use changed significantly, especially the decrease of arable land and forest and increase of built-up area. Spatially, the urban expansion of Yongin region showed a spreading trend mainly along the national road and expressways. But in Anseong region the expansion showed 'urban sprawl phenomenon' with irregular shape like starfish. Temporally, the urban expansion showed disparity - the growth rates of urbanized area rose from the period 1990-1996 to 1996-2000 in both study areas. The increased built-up areas were converted mainly from paddy, dry vegetation, and forest.

• Journal of Korean Society of Rural Planning
• /
• v.26 no.2
• /
• pp.51-59
• /
• 2020

In this study, we analyzed the characteristics of 511 agricultural districts through statistical data, and classify these districts as the vulnerable area to drought through correlation and cluster analysis. The criteria for classification was related to ground-water recharge, irrigation water demand, and water supply. As a result, 8 types of agricultural districts were extracted. For example, the type 1 indicated the high priority area for ground-water development, thus the districts which were classified as type 1 showed ground-water use was less than 80 % of maximum capacity, and irrigation water supply was only 37.5 % and 76.5 % of irrigation water demand in upland and paddy field, respectively. As a result, 44 of 511 districts were classified as type 1.36 districts (types 5-8) were areas where groundwater development is limited. The results of this study are expected to provide useful information for establishing the direction of the rural area development project in connection with the revitalization of policy of people return to rural area.