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Open AccessArticle

Monitoring Soil Surface Mineralogy at Different Moisture Conditions Using Visible Near-Infrared Spectroscopy Data

Department of Earth Systems Analysis, Faculty of Geo-Information Science and Earth Observation, University of Twente, P.O. Box 217, 7500 AE Enschede, The Netherlands
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Remote Sens. 2019, 11(21), 2526; https://doi.org/10.3390/rs11212526
Received: 30 August 2019 / Revised: 25 October 2019 / Accepted: 27 October 2019 / Published: 29 October 2019
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. View Full-Text
Keywords: soil mineralogy; imaging spectroscopy; visible near-infrared; Spectral Information Divergence; drying-field capacity; field capacity; waterlogging-field capacity soil mineralogy; imaging spectroscopy; visible near-infrared; Spectral Information Divergence; drying-field capacity; field capacity; waterlogging-field capacity
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MDPI and ACS Style

Ymeti, I.; Pikha Shrestha, D.; van der Meer, F. Monitoring Soil Surface Mineralogy at Different Moisture Conditions Using Visible Near-Infrared Spectroscopy Data. Remote Sens. 2019, 11, 2526.

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