고해상도 영상을 이용한 농업용수 수혜면적 및 용배수로 추출 기법 개발
Development of Extraction Technique for Irrigated Area and Canal Network Using High Resolution Images
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초록
For agricultural water management, it is essential to establish the digital infrastructure data such as agricultural watershed, irrigated area and canalnetwork in rural areas. Approximately 70,000 irrigation facilities in agricultural watershed, including reservoirs, pumping and draining stations, weirs,and tube wells have been installed in South Korea to enable the efficient management of agricultural water. The total length of irrigation and drainagecanal network, important components of agricultural water supply, is 184,000 km. Major problem faced by irrigation facilities management is that thesefacilities are spread over an irrigated area at a low density and are difficult to access. In addition, the management of irrigation facilities suffers frommissing or errors of spatial information and acquisition of limited range of data through direct survey. Therefore, it is necessary to establish and redefineaccurate identification of irrigated areas and canal network using up-to-date high resolution images. In this study, previous existing data such as RIMS(Rural Infrastructure Management System), smart farm map, and land cover map were used to redefine irrigated area and canal network based onappropriate image data using satellite imagery, aerial imagery, and drone imagery. The results of the building the digital infrastructure in rural areasare expected to be utilized for efficient water allocation and planning, such as identifying areas of water shortage and monitoring spatiotemporaldistribution of water supply by irrigated areas and irrigation canal network.
Abstract
For agricultural water management, it is essential to establish the digital infrastructure data such as agricultural watershed, irrigated area and canalnetwork in rural areas. Approximately 70,000 irrigation facilities in agricultural watershed, including reservoirs, pumping and draining stations, weirs,and tube wells have been installed in South Korea to enable the efficient management of agricultural water. The total length of irrigation and drainagecanal network, important components of agricultural water supply, is 184,000 km. Major problem faced by irrigation facilities management is that thesefacilities are spread over an irrigated area at a low density and are difficult to access. In addition, the management of irrigation facilities suffers frommissing or errors of spatial information and acquisition of limited range of data through direct survey. Therefore, it is necessary to establish and redefineaccurate identification of irrigated areas and canal network using up-to-date high resolution images. In this study, previous existing data such as RIMS(Rural Infrastructure Management System), smart farm map, and land cover map were used to redefine irrigated area and canal network based onappropriate image data using satellite imagery, aerial imagery, and drone imagery. The results of the building the digital infrastructure in rural areasare expected to be utilized for efficient water allocation and planning, such as identifying areas of water shortage and monitoring spatiotemporaldistribution of water supply by irrigated areas and irrigation canal network.
참고문헌 (21)
- 방나경, "순환형 농업용수관리를 위한 농업용 저수지의 비관개기 양수저류 추정", 한국농공학회논문집, 62(4), pp.1~12 (2020), 한국농공학회[DOI]
- Bronwen, T., "Measuring the quality of public open space using Google Earth", American Journal of Preventive Medicine, 40(2), pp.105~112 (2011)[DOI]
- 정상옥, "소규모 논지대의 관개회귀수량 실측조사 및 분석", 한국수자원학회 논문집, 37(7), pp.517~526 (2004), 한국수자원학회
- 정윤재, "고해상도 위성영상과 LiDAR 자료를 활용한 해안지역에 인접한 농경지 추출에 관한 연구", 한국지리정보학회지, 18(1), pp.170~181 (2015), 한국지리정보학회[DOI]
- 김현준, "한강 및 낙동강 유역의 양수장 지구 물관리효율 평가", 한국농공학회논문집, 45(1), pp.23~32 (2003), 한국농공학회
- 이희진, "Evaporative Stress Index (ESI)의 국내 가뭄 심도 분류 기준 제시", 한국농공학회논문집, 62(2), pp.63~73 (2020), 한국농공학회[DOI]
- 이경도, "고해상도 영상을 이용한 농경지 지도 작성 및 토지이용 변화 분석", 한국토양비료학회지(Korean Journal of Soil Science and Fertilizer), 45(6), pp.1164~1172 (2012), 한국토양비료학회[DOI]
- Young-Sik Mun, "Assessment of Vulnerability to Drought Disaster in Agricultural Reservoirs in South Korea", Atmosphere, 11(11), pp.1244~ (2020), MDPI AG[DOI]
- 남원호, "농촌수자원 스마트 물관리를 활용한 농업용수의 관개효율 평가", 한국농공학회논문집, 55(4), pp.45~53 (2013), 한국농공학회
- 남원호, "미래 기후변화에 따른 농업용 저수지 용수공급의 불확실성", 한국농공학회논문집, 56(2), pp.11~23 (2014), 한국농공학회
- 남원호, "관개취약성 평가모형 및 군집분석을 활용한 용수공급 위험도 평가", 한국농공학회논문집, 57(1), pp.59~67 (2015), 한국농공학회
- Nam, W. H., "A wireless sensor network(WSN)application for irrigation facilities management based on information and communication technologies(ICTs)", Computers and Electronics in Agriculture, 143, pp.185~192 (2017)[DOI]
- Nam, W. H., "Improvement methodology of agricultural water balance model", Magazine of the Korea Water Resources Association, 53(4), pp.33~42 (2020)
- Nam, W. H., "Building the digital infrastructure in rural areas for agricultural water management", Magazine of the Korean Society of Agricultural Engineers, 63(1), pp.34~43 (2021)
- Salamh, F. E., "UAV forensic analysis and software tools assessment : DJI Phantom4 and Matrice 210 as case studies", Electronics, 10(6), pp.733~ (2021)[DOI]
- 신지현, "SWMM 모형을 이용한 농업용 저수지 용수분배 모의 및 관개효율 평가", 한국농공학회논문집, 62(3), pp.1~13 (2020), 한국농공학회[DOI]
- 신지현, "SWMM 모형을 활용한 평야부 관개효율 및 용수공급 취약성 평가", 한국농공학회논문집, 62(6), pp.73~83 (2020), 한국농공학회[DOI]
- Taddia, Y., "Using DJI phantom 4 RTK drone for topographic mapping of coastal areas. The International Archives of the Photogrammetry", Remote Sensing and Spatial Information Sciences, 42, pp.625~630 (2019)[DOI]
- Wilhite, D. A., "Planning for drought : Moving from crisis to risk management", Journal of the American Water Resources Association, 36(4), pp.697~710 (2000)[DOI]
- 윤동현, "MODIS 위성영상 기반 ESI와 ROC 분석을 이용한 가뭄위험평가", 한국농공학회논문집, 62(3), pp.51~61 (2020), 한국농공학회[DOI]
- Zhang, L., "Drought over east asia : A review", Journal of Climate, 28, pp.3375~3399 (2015)[DOI]