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http://dx.doi.org/10.15683/kosdi.2020.09.30.542

Estimation of Nitrate Nitrogen Concentration in Liquid Fertilizer Contaminated Areas using Hyperspectral Images  

Lim, Eun Sung (Asia Aero Survey)
Kim, I Seul (Asia Aero Survey)
Han, Soo Jeong (Asia Aero Survey)
Lim, Tai Yang (School of Environmental Horticulture and Landscape Architecture, Dankook University)
Song, Wonkyong (Dankook University)
Publication Information
Journal of the Society of Disaster Information / v.16, no.3, 2020 , pp. 542-549 More about this Journal
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.
Keywords
Hyperspectral Image; Liquid Fertilizer; Groundwater Pollution; Nitrate Nitrogen; PLS Regression;
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