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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Proximal spectral sensing in pedological assessments: vis-NIR spectra for soil classification based on weathering and pedogenesis

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Author(s):
Terra, Fabricio S. [1, 2] ; Dematte, Jose A. M. [1] ; Rossel, Raphael A. Viscarra [3]
Total Authors: 3
Affiliation:
[1] Univ Sao Paulo, Dept Soil Sci, Luiz de Queiroz Coll Agr, Av Padua Dias 11, POB 9, BR-13418900 Piracicaba, SP - Brazil
[2] Univ Fed Pelotas, Ctr Technol Dev Water Resources Engn, Campus Porto, R Gomes Carneiro 1, BR-96010610 Pelotas, RS - Brazil
[3] CSIRO Land & Water, Bruce E Butler Lab, POB 1666, Canberra, ACT 2600 - Australia
Total Affiliations: 3
Document type: Journal article
Source: Geoderma; v. 318, p. 123-136, MAY 15 2018.
Web of Science Citations: 7
Abstract

Assessments of soils by reflectance spectroscopy have potential to facilitate and optimize soil survey, classification, and mapping of large areas. Visible and near-infrared (vis-NIR) spectra have been moderately used in pedological studies regarding characterization of soil samples and profiles, weathering and pedogenetic alterations along toposequences and landscapes, and soil classification. Therefore, there still is a lack of information about vis-NIR spectral pedology. For soil samples, our aims were to characterize the effects of physical, chemical, and mineralogical properties on vis-NIR soil spectral behavior, and to evaluate its potentiality in clustering 1259 soil samples according to weathering levels. For soil profiles, our aims were to evaluate the influence of pedogenesis in spectral behavior of some typical Brazilian soil classes, and to discriminate them by integrating proximal sensing and distance metrics. Continuum removed spectral data were transformed by Principal Component Analysis (PCA), and Fuzzy K-means algorithm and taxonomic distance were applied to cluster soil samples and profiles, respectively. Differences in reflectance intensity and absorption features caused by weathering intensification enabled to distinguish soil samples regarding similarity of particle size distribution, mineralogy, and some chemical properties. Soil formation processes, in particular, lessivage, dessilication, and ferralization similarly affected the spectral behavior soil profiles considering changes in depth caused by redistribution of soil properties by horizons. A coherent discrimination of soil profiles was possible by combining spectral data and pedological distance metrics where 30% of the soil classes could be individually clustered as follow: Ferralsol, Nitisol, Acrisol, Lixisol, Arenosol, Gleysol, Cambisol, and Leptsol. vis-NIR spectral data enabled a coherent grouping of Ferralsol profiles with different contents of clay and iron oxides. vis-NIR reflectance spectroscopy is presented here as a useful and reliable tool for direct applications in pedological assessments, in particular, soil survey and classification. (AU)

FAPESP's process: 09/54144-8 - Acquisition of technological equipment for environmental monitoring and agricultural planning, with an emphasis on soil science
Grantee:José Alexandre Melo Demattê
Support Opportunities: Multi-user Equipment Program