Proximal sensing characterization of polygenetic soils variability in Brazil Article Swipe
Fernanda Magno Silva
,
Anita Fernanda dos Santos Teixeira
,
Marcelo Mancini
,
Giovana Clarice Pôggere
,
Alberto Vasconcellos Inda
,
Luiz Roberto Guimarães Guilherme
,
Nilton Curi
,
David C. Weindorf
,
Sérgio Henrique Godinho Silva
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1016/j.geoderma.2024.117137
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1016/j.geoderma.2024.117137
In tropical regions, pedogenesis studies are challenging since most soils are polygenetic and studies on this approach are still lacking. Thus, complementary data is needed to understand their formation, which has been possible through proximal sensing tools. The objective of this study was to assess the efficiency of proximal sensing data to investigate the presence of lithological discontinuities and the within-profile variation of polygenetic soils formed from different parent materials and with varying weathering degrees. Soil morphology, texture, fertility, mineralogy, and reflectance analyses were conducted to characterize soil samples collected per horizon from five studied profiles. Additional samples were collected following a 15 x 15 cm grid and analyzed via portable X-ray fluorescence (pXRF) spectrometry. Parent material discontinuities were investigated through the ratios Ti/Zr, Si/Al, fine sand/coarse sand (FS/CS), and differences in the mineralogy of the sand, silt, and clay fractions. The five studied profiles were classified as: Fluvic Cambisol (CY), Sideralic Cambisol (CX), Xanthic Gibbsic Ferralsol (LA), Xanthic Ferralsol (LVA), and Rhodic Gibbsic Ferralsol (LV) per the World Reference Base (WRB/FAO) for Soil Resources. pXRF data revealed within-horizon variation of elemental contents. Chemical traits of anthropic and pedogenetic origin were successfully identified. The Ti/Zr ratio and mineralogical analysis of the sand, silt, and clay fractions were able to identify parent material discontinuities in LVA. By interpreting Vis-NIR spectra, it was possible to separate soils based on texture and mineralogy. Proximal sensor data, especially from pXRF, allowed for the detection of parent material discontinuities that were unapparent during field morphology analysis, contributing to improved details on soil genesis assessment and comprehension of previous soil formation events.
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Metadata
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- Language
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- Landing Page
- https://doi.org/10.1016/j.geoderma.2024.117137
- OA Status
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- References
- 68
- Related Works
- 10
- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4405353332Canonical identifier for this work in OpenAlex
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https://doi.org/10.1016/j.geoderma.2024.117137Digital Object Identifier
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Proximal sensing characterization of polygenetic soils variability in BrazilWork title
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articleOpenAlex work type
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enPrimary language
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2024Year of publication
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2024-12-13Full publication date if available
- Authors
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Fernanda Magno Silva, Anita Fernanda dos Santos Teixeira, Marcelo Mancini, Giovana Clarice Pôggere, Alberto Vasconcellos Inda, Luiz Roberto Guimarães Guilherme, Nilton Curi, David C. Weindorf, Sérgio Henrique Godinho SilvaList of authors in order
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://doi.org/10.1016/j.geoderma.2024.117137Direct OA link when available
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Soil water, Characterization (materials science), Geology, Soil science, Environmental science, Hydrology (agriculture), Geotechnical engineering, Materials science, NanotechnologyTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.(CY), | 150 |
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| abstract_inverted_index.Ti/Zr | 194 |
| abstract_inverted_index.World | 168 |
| abstract_inverted_index.X-ray | 111 |
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| abstract_inverted_index.field | 248 |
| abstract_inverted_index.pXRF, | 235 |
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| abstract_inverted_index.(pXRF) | 113 |
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| abstract_inverted_index.traits | 184 |
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| abstract_inverted_index.Vis-NIR | 217 |
| abstract_inverted_index.Xanthic | 154, 158 |
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| abstract_inverted_index.details | 254 |
| abstract_inverted_index.events. | 265 |
| abstract_inverted_index.genesis | 257 |
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| abstract_inverted_index.sensing | 35, 49 |
| abstract_inverted_index.studied | 94, 143 |
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| abstract_inverted_index.Reference | 169 |
| abstract_inverted_index.Sideralic | 151 |
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| abstract_inverted_index.conducted | 84 |
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| abstract_inverted_index.fractions | 205 |
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| abstract_inverted_index.objective | 38 |
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| abstract_inverted_index.Resources. | 174 |
| abstract_inverted_index.assessment | 258 |
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| abstract_inverted_index.especially | 233 |
| abstract_inverted_index.fertility, | 78 |
| abstract_inverted_index.formation, | 28 |
| abstract_inverted_index.fractions. | 140 |
| abstract_inverted_index.mineralogy | 133 |
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| abstract_inverted_index.investigate | 52 |
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| abstract_inverted_index.mineralogical | 197 |
| abstract_inverted_index.spectrometry. | 114 |
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| abstract_inverted_index.within-profile | 60 |
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| institutions_distinct_count | 9 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/13 |
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| citation_normalized_percentile.is_in_top_10_percent | False |