본문 바로가기
KERD
논문KCI 등재

아리랑 2호 영상을 이용한 당진군 벼 재배면적 추정

Estimation of Rice Acreage in the Dangjin Province by Using Kompsat-2 Satellite Images

0

조회

0

다운로드

5

인용

0

참고문헌

키워드

주제분류농업경제학

초록

The purpose of this study is to estimate rice acreage and forecast agricultural outlook by using satellite images to forecast agricultural outlook. Rice was chosen because the acreage of the crop can easily be identified by using remote sensing technology. Dangjin, a rural county with a large rice acreage, was chosen as the sample region. Kompsat-2 satellite images were used since they were inexpensive to obtain. The method used to classify satellite images is based on three key concepts: segmentation, object-based classification, and accuracy verification. We found that the accuracy of analyzing satellite images was not different from the accuracy of on-site inspections. The accuracy of identifying rice paddy fields was very high at 90.8% on average. This study showed that remote sensing technology can actually be used to estimate rice acreage and forecast agricultural outlook. However, since it is difficult to use high-resolution satellite images because they are not readily available, and thus expensive to process, it is necessary to consider using medium-resolution satellite images.

Abstract

The purpose of this study is to estimate rice acreage and forecast agricultural outlook by using satellite images to forecast agricultural outlook. Rice was chosen because the acreage of the crop can easily be identified by using remote sensing technology. Dangjin, a rural county with a large rice acreage, was chosen as the sample region. Kompsat-2 satellite images were used since they were inexpensive to obtain. The method used to classify satellite images is based on three key concepts: segmentation, object-based classification, and accuracy verification. We found that the accuracy of analyzing satellite images was not different from the accuracy of on-site inspections. The accuracy of identifying rice paddy fields was very high at 90.8% on average. This study showed that remote sensing technology can actually be used to estimate rice acreage and forecast agricultural outlook. However, since it is difficult to use high-resolution satellite images because they are not readily available, and thus expensive to process, it is necessary to consider using medium-resolution satellite images.

참고문헌 (21)

  1. 위성정보의 농업관측 활용 타당성, "권오복", 한국농촌경제연구원, ~ (2007)
  2. 위성정보의 농업관측 활용 방안, "김배성", 한국농촌경제연구원, ~ (2009)
  3. 주요 선진국 농작물 재보험제 검토를 위한 한국형 모델 연구, "김충실", 국회 농림해양수산위원회, ~ (2004)
  4. 항공우주기술의 농림분야 활용방안 연구, "김충실", 경북대학교, ~ (2005)
  5. 농업통계조사에 원격탐사기술 활용방안 조사 연구, "김충실", 경북대학교, ~ (2008)
  6. 이우균, "IKONOS 고해상도 위성영상을 이용한 임상분류 및 수치임상도 제작기법", 한국산림측정학회지, 7(1), pp.85~93 (2004)
  7. 정재서, "IKONOS 위성영상을 이용한 임상분류 및 구획 기법", 석사, pp.2003
  8. 함보영, "IKONOS 영상과 GIS를 이용한 참나무류의 공간분포 및 출현확률추정-경기도 양평지역에 대한 사례 연구-", 석사, pp.2004
  9. 함보영, "IKONOS 영상과 GIS를 이용한 참나무류의 공간분포 및 출현확률추정-경기도 양평지역에 대한 사례 연구-", 한국산림측정학회지, 7(1), pp.74~84 (2004)
  10. 홍석영, "Landsat TM 화상을 이용한 당진군 일원의 논면적 추정", 한국농림기상학회지, 3(1) (2001), 한국농림기상학회
  11. 홍석영, "위성영상을 이용한 북한의 농업환경 분석 -I. Landsat TM 영상을 이용한 북한의 지형과 토지피복분류-", 한국환경농학회지, 27(2), pp.120~132 (2008), 한국환경농학회
  12. 원격탐사 기술을 이용한 경지총조사 방법 개발, "통계청", 통계청, ~ (2008)
  13. 인공위성영상자료를 이용한 토지피복지도 구축, "환경부", 한국환경정책·평가연구원, ~ (2002)
  14. "Definiens Developer 7 User Guide, Definiens Understanding Images", ~
  15. "DPRK Bulletins", ~
  16. "EC-JRC. IPSC Institute. Agriculture Unit. 2008. FOODSEC action. Italy", ~ (2008)
  17. "ISR_Using_Remote_Sensing_Agristats", ~
  18. Jensen J.R., "원격탐사와 디지털 영상처리" (2005), 시그마프레스
  19. "LUCAS_2006_ICAS", ~

관련 논문AI추천

이 간행물의 다른 논문 (3건)