Monitoring Soil Surface Mineralogy at Different Moisture Conditions Using Visible Near-Infrared Spectroscopy Data
| Autor: | Freek D. van der Meer, Dhruba Pikha Shrestha, Irena Ymeti |
|---|---|
| Přispěvatelé: | Department of Earth Systems Analysis, UT-I-ITC-4DEarth, Faculty of Geo-Information Science and Earth Observation |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Mineralogy
imaging spectroscopy 010501 environmental sciences spectral information divergence 01 natural sciences complex mixtures Field capacity Cation-exchange capacity drying-field capacity Organic matter field capacity lcsh:Science Water content 0105 earth and related environmental sciences chemistry.chemical_classification Moisture waterlogging-field capacity 04 agricultural and veterinary sciences Soil type chemistry Loam ITC-ISI-JOURNAL-ARTICLE Soil water 040103 agronomy & agriculture 0401 agriculture forestry and fisheries General Earth and Planetary Sciences lcsh:Q visible near-infrared ITC-GOLD soil mineralogy |
| Zdroj: | Remote sensing, 11(21):2526. Multidisciplinary Digital Publishing Institute (MDPI) Remote Sensing, Vol 11, Iss 21, p 2526 (2019) Remote Sensing Volume 11 Issue 21 |
| ISSN: | 2072-4292 |
| Popis: | The soil minerals determine essential soil properties such as the cation exchange capacity, texture, structure, and their capacity to form bonds with organic matter. Any alteration of these organo-mineral interactions due to the soil moisture variations needs attention. Visible near-infrared imaging spectroscopy is capable of assessing spectral soil constituents that are responsible for the organo-mineral interactions. In this study, we hypothesized that the alterations of the surface soil mineralogy occur due to the moisture variations. For eight weeks, under laboratory conditions, imaging spectroscopy data were collected on a 72 h basis for three Silty Loam soils varying in the organic matter (no, low and high) placed at the drying-field capacity, field capacity and waterlogging-field capacity treatments. Using the Spectral Information Divergence image classifier, the image area occupied by the Mg-clinochlore, goethite, quartz coated 50% by goethite, hematite dimorphous with maghemite was detected and quantified (percentage). Our results showed these minerals behaved differently, depending on the soil type and soil treatment. While for the soils with organic matter, the mineralogical alterations were evident at the field capacity state, for the one with no organic matter, these changes were insignificant. Using imaging spectroscopy data on the Silty Loam soil, we showed that the surface mineralogy changes over time due to the moisture conditions. |
| Databáze: | OpenAIRE |
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