Journal of The Korean Society of Agricultural Engineers (한국농공학회논문집)

The Korean Society of Agricultural Engineers (한국농공학회)
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Development of Extraction Technique for Irrigated Area and Canal Network Using High Resolution Images

고해상도 영상을 이용한 농업용수 수혜면적 및 용배수로 추출 기법 개발

  • Yoon, Dong-Hyun (Department of Convergence of Information and Communication Engineering, Hankyong National University) ;
  • Nam, Won-Ho (School of Social Safety and Systems Engineering, Institute of Agricultural Environmental Science, National Agricultural Water Research Center, Hankyong National University) ;
  • Lee, Hee-Jin (National Agricultural Water Research Center, Hankyong National University) ;
  • Jeon, Min-Gi (Department of Convergence of Information and Communication Engineering, Hankyong National University) ;
  • Lee, Sang-Il (Deputy General Manager, Korea Rural Community Corporation) ;
  • Kim, Han-Joong (School of Social Safety and Systems Engineering, Hankyong National University)
  • Received : 2021.04.15
  • Accepted : 2021.05.18
  • Published : 2021.07.31
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Abstract

For agricultural water management, it is essential to establish the digital infrastructure data such as agricultural watershed, irrigated area and canal network 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 drainage canal network, important components of agricultural water supply, is 184,000 km. Major problem faced by irrigation facilities management is that these facilities are spread over an irrigated area at a low density and are difficult to access. In addition, the management of irrigation facilities suffers from missing or errors of spatial information and acquisition of limited range of data through direct survey. Therefore, it is necessary to establish and redefine accurate 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 on appropriate image data using satellite imagery, aerial imagery, and drone imagery. The results of the building the digital infrastructure in rural areas are expected to be utilized for efficient water allocation and planning, such as identifying areas of water shortage and monitoring spatiotemporal distribution of water supply by irrigated areas and irrigation canal network.

Keywords

Acknowledgement

본 연구는 행정안전부 극한재난대응기반기술개발사업의 연구비 지원 (2019-MOIS31-010)에 의해 수행되었습니다.

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