Abstract
Reflectance spectroscopy across the 400–2500 nm region is an important source of data for the approximation of soil attributes. Modeling is based on direct/indirect relationships between the spectral response and soil characteristics. Total iron content is an important property, controlling, among others, soil color, and aggregation stability. However, soil properties can have overlapping spectral features. Iron and organic matter (OM) are both active in the visible–near infrared region. Thus, OM content interferes with the assessment of iron content. Here, we suggest heating the sample to 405°C to remove OM content through the loss-on-ignition method before spectral assessment of the iron content. The suggested method improved iron prediction from [RPD = 1.57; R 2 = 0.61; RMSE = 0.81] to [RPD = 2.31; R 2 = 0.83; RMSE = 0.55].
| Original language | English |
|---|---|
| Pages (from-to) | 6866-6873 |
| Number of pages | 8 |
| Journal | Journal of Soil Science and Plant Nutrition |
| Volume | 23 |
| Issue number | 4 |
| DOIs | |
| State | Published - Dec 2023 |
Bibliographical note
Publisher Copyright:© 2023, The Author(s) under exclusive licence to Sociedad Chilena de la Ciencia del Suelo.
Keywords
- Data analysis
- Iron
- Machine learning
- Mediterranean soils
- Organic matter
- Soil spectroscopy
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