From laboratory to proximal sensing spectroscopy for soil organic carbon estimation—A review

T Angelopoulou, A Balafoutis, G Zalidis, D Bochtis - Sustainability, 2020 - mdpi.com
Rapid and cost-effective soil properties estimations are considered imperative for the
monitoring and recording of agricultural soil condition for the implementation of site-specific …

Visible and near‐infrared reflectance spectroscopy for investigating soil mineralogy: A review

Q Fang, H Hong, L Zhao, S Kukolich… - Journal of …, 2018 - Wiley Online Library
Clay minerals are the most reactive and important inorganic components in soils, but soil
mineralogy classifies as a minor topic in soil sciences. Revisiting soil mineralogy has been …

Estimation of soil organic carbon content in coastal wetlands with measured VIS-NIR spectroscopy using optimized support vector machines and random forests

J Song, J Gao, Y Zhang, F Li, W Man, M Liu, J Wang… - Remote Sensing, 2022 - mdpi.com
Coastal wetland soil organic carbon (CW-SOC) is crucial for both “blue carbon” and carbon
sequestration. It is of great significance to understand the content of soil organic carbon …

Rapid identification of soil organic matter level via visible and near-infrared spectroscopy: Effects of two-dimensional correlation coefficient and extreme learning …

Y Hong, S Chen, Y Zhang, Y Chen, L Yu, Y Liu… - Science of the Total …, 2018 - Elsevier
Accurate estimation of soil organic matter (SOM) is essential in understanding the spatial
distribution of SOM to identify areas that need fertilization and the required grade of those …

Comparing laboratory and airborne hyperspectral data for the estimation and mapping of topsoil organic carbon: Feature selection coupled with random forest

Y Hong, S Chen, Y Chen, M Linderman… - Soil and Tillage …, 2020 - Elsevier
Rapid monitoring of soil organic carbon (SOC) with fine sampling resolution is vital for
further understanding of the global carbon cycle and sustainable management of soil …

Hyperspectral inversion of heavy metal content in reclaimed soil from a mining wasteland based on different spectral transformation and modeling methods

S Zhang, Q Shen, C Nie, Y Huang, J Wang… - … Acta Part A: Molecular …, 2019 - Elsevier
Conventional methods for investigating heavy metal contamination in soil are time
consuming and expensive. We explored reflectance spectroscopy as an alternative method …

Estimating lead and zinc concentrations in peri-urban agricultural soils through reflectance spectroscopy: Effects of fractional-order derivative and random forest

Y Hong, R Shen, H Cheng, Y Chen, Y Zhang… - Science of the Total …, 2019 - Elsevier
Heavy metal contamination of peri-urban agricultural soil is detrimental to soil environmental
quality and human health. A rapid assessment of soil pollution status is fundamental for soil …

Advantages of fuzzy k-means over k-means clustering in the classification of diffuse reflectance soil spectra: A case study with West African soils

J Heil, V Häring, B Marschner, B Stumpe - Geoderma, 2019 - Elsevier
The amount of data in soil science increased at exponential rates over the last decades,
promoted by rapid technological innovation. This development led to a better understanding …

Diagnosis of cadmium contamination in urban and suburban soils using visible-to-near-infrared spectroscopy

Y Hong, Y Chen, R Shen, S Chen, G Xu, H Cheng… - Environmental …, 2021 - Elsevier
Previous studies have mostly focused on using visible-to-near-infrared spectral technique to
quantitatively estimate soil cadmium (Cd) content, whereas little attention has been paid to …

Estimation of heavy metals in agricultural soils using vis-NIR spectroscopy with fractional-order derivative and generalized regression neural network

X Xu, S Chen, L Ren, C Han, D Lv, Y Zhang, F Ai - Remote Sensing, 2021 - mdpi.com
With the development of industrialization and urbanization, heavy metal contamination in
agricultural soils tends to accumulate rapidly and harm human health. Visible and near …