Cited by 70Spectroscopy and Chemometric AnalysesSoil Geostatistics and MappingSoil Science and Environmental Management

Strategies for soil quality assessment using visible and near-infrared reflectance spectroscopy in a western Kenya chronosequence

Kinoshita, Rintaro, Moebius-Clune, Bianca N., Es, Harold M., Hively, W. Dean, Bilgilis, A. Volkan·2012·Soil Science Society of America Journal

Abstract

Visible and near-infrared reflectance spectroscopy (VNIRS) is a rapid and nondestructive method that can predict multiple soil properties simultaneously, but its application in multidimensional soil quality (SQ) assessment in the tropics still needs to be further assessed. In this study, VNIRS (350–2500 nm) was employed to analyze 227 air-dried soil samples of Ultisols from a soil chronosequence in western Kenya and assess 16 SQ indicators. Partial least squares regression (PLSR) was validated using the full-site cross-validation method by grouping samples from each farm or forest site. Most suitable models successfully predicted SQ indicators (R2 ≥ 0.80; ratio of performance to deviation [RPD] ≥ 2.00) including soil organic matter (OMLOI), active C, Ca, cation exchange capacity (CEC), and clay. Moderately-well predicted indicators (0.50 ≤ R2 < 0.80; 1.40 ≤ RPD < 2.00) were water stable aggregation (WSA), Cu, silt, Mg, pH, sand, water content at permanent wilting point (Θpwp), and field capacity (Θfc). Poorly predicted indicators (R2 < 0.50; RPD < 1.40) were EC, S, P, available water capacity (AWC), K, Zn, and penetration resistance. Combining VNIRS with selected field- and laboratory-measured SQ indicator values increased predictability. Furthermore, VNIRS showed moderate to substantial agreement in predicting interpretive SQ scores and a composite soil quality index (CSQI) especially when combined with directly measured SQ indicator values. In conclusion, VNIRS has good potential for low cost, rapid assessment of physical and biological SQ indicators but conventional soil chemical tests may need to be retained to provide comprehensive SQ assessments.

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Crossref · 10.2136/sssaj2011.0307

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  • Soil sensing approaches such as spectroscopic techniques offer the opportunity to measure various soil chemical, physical and biological parameters in a fast and inexpensive way.

    “soil sensing approaches such as spectroscopic techniques, e.g. near-infrared spectroscopy and remote sensing, o ff er the opportunity to measure various soil chemical, physical and biological parameters in a fast and inexpensive way”

    From Soil quality – A critical review (2018) · cites this paper as Kinoshita et al., 2012

  • Calibration efficiency of spectroscopic techniques varies between studies and parameters considered.

    “Several studies showed that calibration e ffi ciency varies between studies and parameters considered”

    From Soil quality – A critical review (2018) · cites this paper as Kinoshita et al., 2012

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Authors
Kinoshita, R., Moebius-Clune, B. N., Es, H. M., Hively, W. D., & Bilgilis, A. V.
Affiliations
  • Cornell University (US)
  • Dep. of Crop and Soil SciencesCornell UniversityIthacaNY14853‐1901
  • United States Geological Survey (US)
  • Dep. of Soil Science, Agriculture FacultyHarran UniversitySanliurfa63300Turkey
Corresponding author
Kinoshita, Rintaro
Venue
Soil Science Society of America Journal
Publisher
Wiley
Published
2012-09
Volume
76
Issue
5
Pages
1776-1788
ISSN
  • 0361-5995 (ISSN-L)
  • 1435-0661
OpenAlex
W1995247554
Cited by
70
References
71
Citations by year
2026: 2 · 2025: 9 · 2024: 2 · 2023: 2 · 2022: 5 · 2021: 2 · 2020: 7 · 2019: 12 · 2018: 8 · 2017: 4 · 2016: 3 · 2015: 4 · 2014: 8 · 2013: 1 · 2012: 1
FWCI
4.38
Type
journal article
Language
en
Update notices
erratum (2012-11-16)
Open access
closed
Locations
Soil Science Society of America Journal (publishedVersion)
Funders
  • U.S. Department of Agriculture
  • National Science Foundation (BCS‐0215890)
Topics
  • Physical Sciences › Chemistry › Analytical Chemistry › Spectroscopy and Chemometric Analyses
  • Physical Sciences › Environmental Science › Environmental Engineering › Soil Geostatistics and Mapping
  • Life Sciences › Agricultural and Biological Sciences › Soil Science › Soil Science and Environmental Management
Keywords
soil quality assessment, visible and near-infrared spectroscopy, soil chronosequence, Ultisol, soil organic matter, cation exchange capacity, soil physical properties, soil chemical properties, tropical soils, Western Kenya

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