Current sensor technologies for in situ and on-line measurement of soil nitrogen for variable rate fertilization: A review

A Guerrero, S De Neve, AM Mouazen - Advances in agronomy, 2021 - Elsevier
Recommendations for nitrogen (N) fertilization are based on the analysis of the soil mineral
N (SMN) content of one composite sample that is assumed to represent the average …

Proximal and remote sensing techniques for mapping of soil contamination with heavy metals

T Shi, L Guo, Y Chen, W Wang, Z Shi… - Applied Spectroscopy …, 2018 - Taylor & Francis
Heavy metal soil contamination is a severe environmental problem globally, and its mapping
is vital for environmental managers and policymakers to determine its distributions and …

Retrieving soil heavy metals concentrations based on GaoFen-5 hyperspectral satellite image at an opencast coal mine, Inner Mongolia, China

B Zhang, B Guo, B Zou, W Wei, Y Lei, T Li - Environmental Pollution, 2022 - Elsevier
Soil heavy metals pollution has been becoming one of the severely environmental issues
globally. Previous studies reported laboratory-measured spectra could be used to infer soil …

The Brazilian soil spectral library (BSSL): A general view, application and challenges

JAM Demattê, AC Dotto, AFS Paiva, MV Sato… - Geoderma, 2019 - Elsevier
The present study was developed in a joint partnership with the Brazilian pedometrics
community to standardize and evaluate spectra within the 350–2500 nm range of Brazilian …

[HTML][HTML] Quantitative estimation of soil salinity using UAV-borne hyperspectral and satellite multispectral images

J Hu, J Peng, Y Zhou, D Xu, R Zhao, Q Jiang, T Fu… - Remote Sensing, 2019 - mdpi.com
Soil salinization is a global issue resulting in soil degradation, arable land loss and
ecological environmental deterioration. Over the decades, multispectral and hyperspectral …

[HTML][HTML] Transfer learning for soil spectroscopy based on convolutional neural networks and its application in soil clay content mapping using hyperspectral imagery

L Liu, M Ji, M Buchroithner - Sensors, 2018 - mdpi.com
Soil spectra are often measured in the laboratory, and there is an increasing number of large-
scale soil spectral libraries establishing across the world. However, calibration models …

Chemometric methods in analytical spectroscopy technology

Y Huang - Chemometric Methods in Analytical Spectroscopy …, 2022 - Springer
In recent decades, with the rapid development of artificial intelligence, data mining, and
cloud computing, new chemometric methods have sprung up and become one of the fastest …

[HTML][HTML] Towards optimal variable selection methods for soil property prediction using a regional soil vis-nir spectral library

X Zhang, J Xue, Y Xiao, Z Shi, S Chen - Remote Sensing, 2023 - mdpi.com
Soil visible and near-infrared (Vis-NIR, 350–2500 nm) spectroscopy has been proven as an
alternative to conventional laboratory analysis due to its advantages being rapid, cost …

[HTML][HTML] Integrating additional spectroscopically inferred soil data improves the accuracy of digital soil mapping

S Chen, NPA Saby, MP Martin, BG Barthes, C Gomez… - Geoderma, 2023 - Elsevier
Digital soil mapping has been increasingly advocated as an efficient approach to deliver fine-
resolution and up-to-date soil information in evaluating soil ecosystem services. Considering …

Prediction of soil organic carbon stock by laboratory spectral data and airborne hyperspectral images

L Guo, H Zhang, T Shi, Y Chen, Q Jiang, M Linderman - Geoderma, 2019 - Elsevier
Soil organic carbon (SOC) plays an important role in controlling the function and quality of
soil and offsetting the emissions of greenhouse gases. However, the dynamic monitoring …