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Study on Farmland Soil Fertility Model Based on Multi-Angle Polarized Hyper-Spectrum |
WANG Ling-zhi, HAN Yang*, PAN Qian |
School of Geographical Sciences,Northeast Normal University,Changchun 130024, China |
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Abstract With the Introduction of the concept precision agriculture, acquiring information quickly and precisely has become the focus researchers. Polarization remote sensing can improve the accuracy of exploring and identifying features without causing damage, because it colligates multi-angle remote sensing, hyper-spectral remote sensing and microwave remote sensing. Previous researches are mainly based on single standard of soil fertility. This study explores the relationship between Integrated Fertility Index (IFI) and soil spectrum curve under the best observation conditions through measuring the spectrum curves in different conditions of typical farmland soil in Jilin Province. The study shows that incidence angles, relative azimuth angles and polarized states will affect soil spectrum curve under certain circumstances In fact, the design of the most workable remote sensing to observe soil fertility for this purposecan be realized by equipment. In this way, soil reflection was mathematically manipulated into first derivative reflectance spectra and inverse-log spectra, then established soil fertility model on ground of characteristic bands. The study shows the negative correlation between soil fertility and reflectance, positive correlation between soil fertility and absorptivity of spectrum, but the correlation between soil fertility and reflectance of spectrum in first differential is uncertain. When using reflectance of spectrum and first differential reflectance of spectrum and absorbance indexes to calculate soil fertility, it has been found that the quadratic function of reflectance of spectrum and fertility fits properly , with determination coefficient reaching 0.876 and 0.867 at 560 and 860 nm respectively.
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Received: 2016-04-19
Accepted: 2016-11-30
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Corresponding Authors:
HAN Yang
E-mail: hany025@nenu.edu.cn
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