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다중시기 위성영상을 활용한 밀 재배지역 추출 및 생산량과 기후자료와의 상관분석 KCI 등재

Extraction of Wheat Cultivation Area Using Multi-temporal Satellite Images and Correlation Analysis between Wheat Yield and Climate Data

  • 언어KOR
  • URLhttps://db.koreascholar.com/Article/Detail/380499
  • DOIhttps://doi.org/10.14383/cri.2019.14.2.95
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기후연구 (Journal of Climate Research)
건국대학교 기후연구소 (KU Climate Research Institute)
초록

This study examined the efficiency of satellite images in terms of detecting wheat cultivation areas, and then analyzed the possibility of climate change through an correlation analysis of time series climate data from the western regions of Gyeongnam province, Korea. Furthermore, we analyzed the effect of climate change on wheat production through a multiple regression analysis with the time series wheat production and climate data. A relatively accurate distribution was achieved on the wheat cultivation area extracted through satellite image classification with an error rate of less than 10% in comparison to the statistical data. Upon correlation analysis with time series climate data, significant results were displayed in the following changes: the monthly mean temperature of the seedling stage, the monthly mean duration of sunshine, the monthly mean temperature of the growing period, the monthly mean humidity, the monthly mean temperature of the ripening stage, and the monthly mean ground temperature. Accordingly, in the study area, the monthly mean temperature, precipitation, and ground temperature generally increased whereas the monthly mean duration of sunshine and humidity decreased. The monthly mean wind speed did not display a particular change. In the multiple regression analysis results, the greatest effect on the production and productivity of wheat as climate factors included the annual mean humidity of the seedling stage, the annual mean temperature of the wintering period, and the annual mean ground temperature of the ripening stage. These results demonstrate that there is a change in wheat production depending on the climate change in the study area. in addition, it is determined that this study will be used as important basic data in the resolution of food security problems based on climate change.

목차
Abstract
1. 서론
2. 연구 자료 및 방법
    1) 연구지역
    2) 연구방법 및 사용자료
3. 연구결과
    1) 위성영상 분류를 통한 밀 재배지역 추출
    2) 밀 생산량 변화와 기후자료 분석
    3) 밀 생육시기에 따른 기후요소와 밀 생산량과의 상관분석
4. 결론
References
저자
  • 고정훈(공주대학교 지리학과) | Jeong-Hoon Ko (Department of Geography, Kongju National University)
  • 장동호(공주대학교 지리학과) | Dong-Ho Jang (Department of Geography, Kongju National University) Correspondence