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- Title
Estimating a Soil Quality Index with VNIR Reflectance Spectroscopy.
- Authors
Veum, Kristen S.; Sudduth, Kenneth A.; Kremer, Robert J.; Kitchen, Newell R.
- Abstract
Sensor-based approaches to assessment and quantification of soil quality are important to facilitate cost-effective, site-specific soil management. The objective of this research was to evaluate the ability of visible, near-infrared (VNIR) diffuse reflectance spectroscopy to estimate multiple soil quality indicators (SQIs) and Soil Management Assessment Framework (SMAF) scores. A total of 234 soil samples from two depths (0-5 and 5-15 cm) were obtained in 2008 from 17 agricultural management systems located in the Central Claypan Region of Missouri, USA. The VNIR spectra were obtained on oven-dried and field-moist soil, and calibration models were developed with partial least squares (PLS) regression. Models were evaluated using the coefficient of determination (R²), residual prediction deviation (RPD), and the ratio of prediction error to interquartile range (RPIQ). The most reliable estimation results were achieved using oven-dry soil for organic C, (β-glucosidase, total N, the biological SMAF score, the organic C score, and the (β-glucosidase score (R² > 0.76, RPD > 2.0, RPIQ > 3.2). Using field-moist soils, the most reliable estimation results were achieved for organic C and the organic C score (R² > 0.80, RPD > 2.1, RPIQ > 3.6). Incorporating the bulk density score and P score as auxiliary variables with the VNIR spectra improved estimation of the overall SMAF soil quality score for oven-dry soil (R² = 0.76, RPD = 2.0, RPIQ = 3.1) and field-moist soil (R² = 0.75, RPD = 1.9, RPIQ = 2.8). These results demonstrate the robustness of VNIR estimation of biological SQIs, and illustrate the potential for rapid, in-field quantification of soil quality by fusing VNIR sensors with auxiliary data obtained from complementary sensors or supplemental analyses.
- Subjects
SOIL quality; SOIL moisture measurement; DETECTORS; GLUCOSIDASES; SOIL management
- Publication
Soil Science Society of America Journal, 2015, Vol 79, Issue 2, p637
- ISSN
0361-5995
- Publication type
Article
- DOI
10.2136/sssaj2014.09.0390