In‐field soil spectroscopy in Vis–NIR range for fast and reliable soil analysis: A review

C Piccini, K Metzger, G Debaene… - European Journal of …, 2024 - Wiley Online Library
In‐field soil spectroscopy represents a promising opportunity for fast soil analysis, allowing
the prediction of several soil properties from one spectral reading representing one soil …

Using soil library hyperspectral reflectance and machine learning to predict soil organic carbon: Assessing potential of airborne and spaceborne optical soil sensing

S Wang, K Guan, C Zhang, DK Lee… - Remote Sensing of …, 2022 - Elsevier
Soil organic carbon (SOC) is a key variable to determine soil functioning, ecosystem
services, and global carbon cycles. Spectroscopy, particularly optical hyperspectral …

Fusion of soil and remote sensing data to model soil properties

S Grunwald, GM Vasques, RG Rivero - Advances in agronomy, 2015 - Elsevier
Grand global challenges of our time, such as food security and soil security, cannot be met
without up-to-date, high-quality, high-resolution, spatiotemporal, and continuous soil and …

[HTML][HTML] Rapid estimation of soil Mn content by machine learning and soil spectra in large-scale

M Zhou, T Hu, M Wu, C Ma, C Qi - Ecological Informatics, 2024 - Elsevier
Manganese (Mn) is an essential element in both plants and the human body; however,
traditional methods for monitoring Mn in soil are costly and inefficient. As such, it is …

Prediction of soil organic carbon at the European scale by visible and near infrared reflectance spectroscopy

A Stevens, M Nocita, G Tóth, L Montanarella… - PloS one, 2013 - journals.plos.org
Soil organic carbon is a key soil property related to soil fertility, aggregate stability and the
exchange of CO2 with the atmosphere. Existing soil maps and inventories can rarely be …

Characterizing soils using a portable X-ray fluorescence spectrometer: 1. Soil texture

Y Zhu, DC Weindorf, W Zhang - Geoderma, 2011 - Elsevier
The development of new technologies for use in field soil survey has produced powerful
new quantitative tools for assessing soil physicochemical properties in-situ. One such …

Modelling soil carbon fractions with visible near-infrared (VNIR) and mid-infrared (MIR) spectroscopy

NM Knox, S Grunwald, ML McDowell, GL Bruland… - Geoderma, 2015 - Elsevier
Accurate assessment of soil carbon fractions would provide valuable contributions towards
monitoring in ecological observatories, assessment of disturbance impacts, global climate …

A global soil spectral calibration library and estimation service

KD Shepherd, R Ferguson, D Hoover, F van Egmond… - Soil Security, 2022 - Elsevier
There is growing global interest in the potential for soil reflectance spectroscopy to fill an
urgent need for more data on soil properties for improved decision-making on soil security at …

[HTML][HTML] Estimating soil organic carbon using VIS/NIR spectroscopy with SVMR and SPA methods

X Peng, T Shi, A Song, Y Chen, W Gao - Remote Sensing, 2014 - mdpi.com
With 298 heterogeneous soil samples from Yixing (Jiangsu Province), Zhongxiang and
Honghu (Hubei Province), this study aimed to combine a successive projections algorithm …

Predicting key soil properties from Vis-NIR spectra by applying dual-wavelength indices transformations and stacking machine learning approaches

H Tavakoli, J Correa, M Sabetizade, S Vogel - Soil and Tillage Research, 2023 - Elsevier
Soil visible and near-infrared (Vis-NIR) spectroscopy has been widely used for soil
characterization, due to its high potential for assessing different soil properties. However …