Korean Journal of Remote Sensing (대한원격탐사학회지)

Korean Society of Remote Sensing (대한원격탐사학회)
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Estimating Corn and Soybean Yield Using MODIS NDVI and Meteorological Data in Illinois and Iowa, USA

MODIS NDVI와 기상자료를 이용한 미국 일리노이, 아이오와주 옥수수, 콩 수량 추정

  • Lee, Kyung-Do (National Institute of Agricultural Science, Rural Development Administration) ;
  • Na, Sang-Il (National Institute of Agricultural Science, Rural Development Administration) ;
  • Hong, Suk-Young (National Institute of Agricultural Science, Rural Development Administration) ;
  • Park, Chan-Won (National Institute of Agricultural Science, Rural Development Administration) ;
  • So, Kyu-Ho (National Institute of Agricultural Science, Rural Development Administration) ;
  • Park, Jae-Moon (National Institute of Agricultural Science, Rural Development Administration)
  • 이경도 (농촌진흥청 국립농업과학원) ;
  • 나상일 (농촌진흥청 국립농업과학원) ;
  • 홍석영 (농촌진흥청 국립농업과학원) ;
  • 박찬원 (농촌진흥청 국립농업과학원) ;
  • 소규호 (농촌진흥청 국립농업과학원) ;
  • 박재문 (농촌진흥청 국립농업과학원)
  • Received : 2017.09.14
  • Accepted : 2017.10.13
  • Published : 2017.10.30
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Abstract

The objective of this study was to estimate corn and soybean yield in Illinois and Iowa in USA using satellite and meteorological data. MODIS products for NDVI were downloaded from a NASA website. Each layer was processed to convert projection and extract layers for NDVI. Relations of NDVI from 2002 to 2012 with corn and soybean yield were investigated to find informative days for rice yield estimation. Weather data for the county of study state duration from 2002 to 2012 to correlate crop yield. Multiple regression models based on MODIS NDVI and rainfall were made to estimate corn and soybean yields in study site. Corn yields estimated for 2013 were $10.17ton\;ha^{-1}$ in Illinois, $10.21ton\;ha^{-1}$ in Iowa and soybean yields estimated were $3.11ton\;ha^{-1}$ in Illinois, $2.58ton\;ha^{-1}$ in Iowa, respectively. Corn and Soybean yield distributions in 2013 were mapped to show spatial variability of crop yields of the Illinois and Iowa state.

본 연구는 대표적인 곡물 생산, 수출국인 미국의 일리노이주와 아이오와주에 대하여 카운티별 MODIS 위성영상 식생지수 및 기상자료를 활용하여 수량을 추정할 수 있는 다중회귀 모형을 구축하고 그 결과를 평가하였다. 2002년부터 2012년까지의 MODIS 위성영상 식생지수 및 기상자료로 옥수수와 콩 수량 추정 모형을 구축하고 2013년 수량을 추정한 결과, 일리노이, 아이오와 2개주에 대하여 약 1~16% 내외의 오차 결과를 얻었다. 모형의 수량 추정 정확도 향상을 위해 추후에는 지대 구분 및 다양한 지표면 생물리 모수를 함께 활용하여 수량 추정 모형의 성과를 높여나가야 할 것으로 판단된다.

Keywords

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