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Determining magnetic susceptibility in loess‐paleosol sections by near‐infrared reflectance spectroscopy
Author(s) -
Jin Li,
Ji Junfeng,
Balsam William,
Chen Yang,
Chen Jun,
Lu Huayu
Publication year - 2003
Publication title -
geophysical research letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.007
H-Index - 273
eISSN - 1944-8007
pISSN - 0094-8276
DOI - 10.1029/2003gl017389
Subject(s) - loess plateau , loess , paleosol , reflectivity , hyperspectral imaging , geology , remote sensing , calibration , mineralogy , near infrared spectroscopy , spectral line , spectroscopy , plateau (mathematics) , diffuse reflectance infrared fourier transform , near infrared reflectance spectroscopy , soil science , chemistry , mathematics , optics , geomorphology , physics , mathematical analysis , biochemistry , statistics , quantum mechanics , astronomy , photocatalysis , catalysis
Loess deposits are widespread, covering about 10 percent of the Earth's land surface. Magnetic susceptibility (MS), an important parameter in loess deposits, is a function of the concentration of magnetic minerals, which exhibit diagnostic features in their visible and near‐infrared (NIR) spectra. Therefore, MS should correlate with spectral reflectance. To determine if a relationship exists between MS and reflectance spectra we analyzed NIR spectra and MS of over 550 samples from seven loess‐paleosol sequences on Loess Plateau of Central China. NIR reflectance data were first converted into eight spectral bands and then a step‐wise multiple linear regression was applied to a calibration dataset to establish a model to predict MS values. Test datasets indicate our model is very successful, all produced an r 2 > 0.9. By applying this new method for estimating MS to hyperspectral remote sensing data we anticipate mapping soil quality and MS on the Loess Plateau.