Journal of the Society of Disaster Information (한국재난정보학회 논문집)

The Korean Society of Disaster Information (한국재난정보학회)
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Estimation of Nitrate Nitrogen Concentration in Liquid Fertilizer Contaminated Areas using Hyperspectral Images

초분광 영상을 이용한 액비 오염지역의 질산성질소 농도 추정

  • Received : 2020.08.14
  • Accepted : 2020.09.28
  • Published : 2020.09.30
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Abstract

Purpose: As nitrate nitrogen produced during fermentation of liquid fertilizer is a pollution indicator of water, in this study, four research areas where liquid fertilizer was sprayed were selected, and a model was designed to estimate the concentration of nitrate nitrogen pollution. Method: Prior to shooting on site, a spectrum library was constructed by dividing the ratio of liquid fertilizer into 5 groups: 0%, 25%, 50%, 75%, and 100%. PLSR (Partial least squares regression) method was applied to hyperspectral images acquired in the study area based on the aspect of spectrum. Result: The behavior of nitrate nitrogen was confirmed by 1st and 2nd differentiation of the spectrum of the constructed liquid fertilizer. PLSR concentration estimation modeling was implemented using images from field experiments and compared with actual concentration of nitrate nitrogen. Conclusion: When comparing the PLSR concentration estimation model with the actual concentration of nitrate nitrogen, it was measured that the detection is possible in high concentration areas where the concentration of nitrate nitrogen is 70mg/kg or more.

연구목적: 액비의 발효과정에서 생산된 질산성질소는 물의 오염지표로써 본 연구에서는 액비가 살포된 4개의 연구지역을 선정하고, 질산성질소의 오염 농도를 추정할 수 있는 모델을 제작하고자 하였다. 연구방법:현장촬영에 앞서 액비의 비율을 0%, 25%, 50%, 75%, 100%로 5개의 군으로 나누어 스펙트럼 라이브러리를 구축하였다. 스펙트럼의 양상을 토대로 연구지역에서 획득한 초분광 영상에 PLSR (Partial least squares regression) 방법을 적용하였다. 연구결과:구축한 액비의 스펙트럼을 1차, 2차 미분하여 질산성질소의 거동을 확인하였다. 현장실험의 영상을 이용하여 PLSR 농도 추정 모델링을 실시하여 실제 질산성질소의 농도와 비교하였다. 결론: PLSR 농도 추정 모델과 실제 질산성질소의 농도를 비교하였을 때 질산성질소의 농도가 70 mg/kg 이상인 고농도 지역에서 탐지가 가능하다고 판단되었다.

Keywords

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