• 농촌지도와개발
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• 제23권3호
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• pp.243-255
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• 2016

This study aims to identify the characteristics of businesses influencing the choice of their type in the 6th industry and analyze how they work. This study analyzed data of 752 businesses certified as belonging to the 6th industry in 2015 through the classification and regression tree (CART) algorithm in decision tree analysis. The results of analysis showed that the type of agricultural product processing, region, the type of service, and the production percentage in a province affected a choice of the type. The most important variable that impacted how businesses in the 6th industry chose their type was the type of agricultural product processing, and if a business produced simple agricultural products, it was likely to specialize into $1st^*2nd$ or $1st^*3rd$. Access to large consumption areas was a critical factor in the growth of 2nd and 3rd industrial functions. These findings would contribute to establishing a model to develop the 6th industry and empirically demonstrate the importance of access to large consumption areas for agricultural businesses and rural tourism.

• 한국지역지리학회지
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• 제17권1호
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• pp.96-108
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• 2011

우리나라는 1960년대 이후 산업화 및 도시화 과정에서 발생한 낙후지역을 해소하기 위해 다양한 지원사업을 추진해 왔으나, 일부 성과에도 불구하고 적잖은 한계를 노정하였다. 이에 따라 최근 그간의 낙후지역 지원사업을 4개 지역(도시지역, 농산어촌, 성장촉진지역, 특수상황지역)으로 통폐합하고, 그 중에서도 낙후도가 심한 지역을 '성장촉진지역'으로 지정하여 육성하는 정책을 시행하게 되었다. 이 연구는 성장촉진지역 육성정책이 성공하기 위해서는 성장촉진지역을 유형화하고 그 특성을 분석 한 뒤, 지역 특성에 알맞은 차별화된 정책 및 사업의 추진이 중요하다는 인식에서 기 선정된 70개 성장촉진지역을 유형화하고 이에 따른 지역 맞춤형 낙후지역 정책을 모색하고자 하였다. 연구결과, 우리나라 성장촉진지역은 공간적 특성과 사회경제적 구조의 차이에 따라 4개 유형으로 구분할 수 있으며, 효과적인 육성을 위해서는 각 유형별로 차별적인 정책을 추진할 필요가 있음을 파악할 수 있었다.

• 한국농촌건축학회논문집
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• 제26권2호
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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.

• 농촌지도와개발
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• 제30권2호
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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.

• 예술경영연구
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• 제56호
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• pp.275-304
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• 2020

본 연구는 최근 증가하는 농촌 문화예술공간의 수와 농촌의 문화적 잠재력 확대에 주목하여, 장소자산의 활용을 통해 농촌 문화예술공간의 콘텐츠를 차별화하고 경쟁력을 높이는 방안에 관해 논의하였다. 우선 농촌 문화예술공간의 현황과 역할을 파악하고, 장소 자산에 관한 이론적 논의를 검토하였다. 이를 토대로 사례연구를 진행하였으며 물리적 요소, 인적 요소, 상징적 요소로 장소자산을 분류하여 사례에 적용하였다. 연구 대상은 아미 미술관과 감자꽃 스튜디오로 선정하였으며, 분석을 위해 현장조사와 관계자 심층인터뷰를 진행하였다. 분석 결과 두 사례지는 물리적 장소 자산 중의 하나인 농촌의 폐교를 활용하고 있다는 공통점이 있으나, 그 밖의 장소자산 요소 활용에서는 차이를 보였으며 이는 서로 다른 유형의 콘텐츠 차별화 방안으로 귀결되었다. 사례 분석을 통해 농촌의 문화예술공간을 주민 친화형, 아티스트 친화형, 관광 친화형의 세 가지 유형으로 도출할 수 있었으며, 각 유형에 따라 차별화된 장소 자산의 활용과 콘텐츠 개발 방안을 제시하였다. 본 연구는 농촌이라는 환경에서 문화예술공간의 지속가능성을 모색하고자 하였고, 나아가 농촌 문화예술공간 활성화를 통한 농촌 지역의 문화적 재생을 도모했다는 점에서 의의가 있다.

• 대한원격탐사학회지
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• 제30권4호
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• pp.493-503
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• 2014

이 논문에서는 대규모 작물 재배 지역의 작물 분류도의 조기 제작을 목적으로 분광학적 혼재를 줄이고, 과거 토지피복도의 작물 재배 패턴을 반영할 수 있는 계층적 분류 방법론을 제안하였다. 특히 작물 생육 주기로부터 다른 분광 특성을 고려한 계층적 분류 접근을 적용하고, 과거 작물 재배 패턴으로부터 추출된 시간적 문맥 정보를 함께 고려함으로써 분광 혼재가 두드러진 화소의 영향을 줄일 수 있다. 제안 분류 기법의 적용성을 평가하기 위해 미국 아이오와 주 전체를 대상으로 시계열 MODIS 250 m 정규식생지수 자료와 과거 crop data layer를 사용하는 사례 연구를 수행하였다. 사례 연구를 통해 다른 분류 단계와 과거 작물 재배 패턴을 고려함으로써 대상 지역의 주요 재배 작물이면서 분광학적 유사도가 두드러진 콩과 옥수수를 효과적으로 구분할 수 있었다. 그리고 분광 정보만을 이용한 분류 결과에 비해 제안 기법이 최소 7.68%p에서 최대 20.96%p의 향상된 분류 정확도를 보였다. 또한 분류 단계에서 시간적 문맥 정보를 결합함으로써 사용 NDVI 자료의 수에 영향을 덜 받는 가장 높은 분류 정확도(최대 전체 정확도: 86.63%)를 얻을 수 있었다. 따라서 제안 분류 기법은 주요 곡물 수입국의 대규모 작물 구분도의 조기 제작에 유용하게 사용될 수 있을 것으로 기대된다.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2004년도 학술발표회
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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.

• 대한지역사회영양학회지
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• 제29권4호
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• pp.348-357
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• 2024

Objectives: The total population of Korea began to decline in 2019; in particular, the population in rural areas has been rapidly decreasing and is aging. Therefore, the government has designated depopulation areas and is seeking ways to support them. To assess whether health disparities exist between areas with population decline and those without, this study used community health survey data to observe temporal changes in health behaviors between the two types of areas. Methods: The analysis used Community Health Survey data from 2010 to 2019, and regional classification was divided by depopulation areas designated by the Ministry of the Interior and Safety. Trends in health behavior and chronic disease prevalence between depopulation and non-depopulation areas were analyzed. All analyses were conducted using complex sample analysis procedures in SAS 9.4 software. Results: The smoking rate steadily decreased in both depopulation and non-depopulation areas, whereas the high-risk drinking rate increased slightly. The walking practice rate did not improve in depopulation areas compared to non-depopulation areas. Furthermore, nutritional labeling usage rate was consistently lower in depopulation areas than in non-depopulation areas, with the gap being the largest. The prevalence of obesity, diabetes, and hypertension showed that the gap between depopulation and non-depopulation areas is continuously increasing. Conclusions: Health behaviors in depopulation areas have not improved, and the prevalence of chronic diseases is increasing rapidly. Therefore, the demand for health care services that support healthy lifestyle practices and chronic disease management in these areas is expected to increase.

• 한국환경복원기술학회지
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• 제10권4호
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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.

• 한국농업기계학회:학술대회논문집
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• 한국농업기계학회 2017년도 춘계공동학술대회
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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.