[논문]고해상도 영상을 이용한 농업용수 수혜면적 및 용배수로 추출 기법 개발

윤동현; 남원호; 이희진; 전민기; 이상일; 김한중

doi:10.5389/ksae.2021.63.4.023

고해상도 영상을 이용한 농업용수 수혜면적 및 용배수로 추출 기법 개발
Development of Extraction Technique for Irrigated Area and Canal Network Using High Resolution Images 원문보기

한국농공학회논문집 = Journal of the Korean Society of Agricultural Engineers, v.63 no.4, 2021년, pp.23 - 32

윤동현 (Department of Convergence of Information and Communication Engineering, Hankyong National University) , 남원호 (School of Social Safety and Systems Engineering, Institute of Agricultural Environmental Science, National Agricultural Water Research Center, Hankyong National University) , 이희진 (National Agricultural Water Research Center, Hankyong National University) , 전민기 (Department of Convergence of Information and Communication Engineering, Hankyong National University) , 이상일 (Deputy General Manager, Korea Rural Community Corporation) , 김한중 (School of Social Safety and Systems Engineering, Hankyong National University)

Abstract ▼ AI-Helper

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.

주제어

표/그림 (10)

그림 Fig. 1 Two study area for calculating irrigated area and establishing canal network
그림 Fig. 2 Establishment image data for recalculation of irrigated area and canal
표 Table 1 Data list that can be acquired and utilized
그림 Fig. 3 Selection of excluded areas for extraction of paddy areas
그림 Fig. 4 Comparison of image and RIMS data for canal establishment
그림 Fig. 5 Calculation of the irrigated area in Samhap reservoir and Neungsoe pump station
그림 Fig. 6 Calculation of a canal in Samhap reservoir and Neungsoe pump station
표 Table 2 Existing irrigated area status and recalculation results based on high resolution images
그림 Fig. 7 DEM and DSM image based canal gradient analysis result
표 Table 3 Existing canal status and recalculation results based on high resolution images

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