Visible and near-infrared reflectance spectroscopy—An alternative for monitoring soil contamination by heavy metals

T Shi, Y Chen, Y Liu, G Wu - Journal of hazardous materials, 2014 - Elsevier
Soil contamination by heavy metals is an increasingly important problem worldwide. Quick
and reliable access to heavy metal concentration data is crucial for soil monitoring and …

[HTML][HTML] Potential of integrated field spectroscopy and spatial analysis for enhanced assessment of soil contamination: A prospective review

A Horta, B Malone, U Stockmann, B Minasny… - Geoderma, 2015 - Elsevier
There are tens of millions of contaminated soil sites in the world, and with an increasing
population and associated risk there is a growing pressure to remediate them. A barrier to …

Estimation of the soil arsenic concentration using a geographically weighted XGBoost model based on hyperspectral data

M Ye, L Zhu, X Li, Y Ke, Y Huang, B Chen, H Yu… - Science of The Total …, 2023 - Elsevier
Considering the high toxicity of arsenic (As), its contamination of soil represents an alarming
environmental and public health issue. Existing soil heavy metal concentration estimation …

Estimation of heavy metals using deep neural network with visible and infrared spectroscopy of soil

JC Pyo, SM Hong, YS Kwon, MS Kim… - Science of the Total …, 2020 - Elsevier
Heavy metal contamination in soil disturbs the chemical, biological, and physical soil
conditions and adversely affects the health of living organisms. Visible and near-infrared …

Estimation of plant height using a high throughput phenotyping platform based on unmanned aerial vehicle and self-calibration: example for sorghum breeding

P Hu, SC Chapman, X Wang, A Potgieter… - European Journal of …, 2018 - Elsevier
Plant height is an essential trait to evaluate in grain sorghum, being positively associated
with potential grain yield. Standard manual measures of plant height for large breeding trials …

Estimating heavy metal concentrations in suburban soils with reflectance spectroscopy

H Cheng, R Shen, Y Chen, Q Wan, T Shi, J Wang… - Geoderma, 2019 - Elsevier
Soil contamination by heavy metals has become a serious environmental issue worldwide.
Rapidly and reliably obtaining heavy metal concentrations in soil is vital for soil monitoring …

VIRS based detection in combination with machine learning for mapping soil pollution

X Jia, D O'Connor, Z Shi, D Hou - Environmental Pollution, 2021 - Elsevier
Widespread soil contamination threatens living standards and weakens global efforts
towards the Sustainable Development Goals (SDGs). Detailed soil mapping is needed to …

Performance of hyperspectral data in predicting and mapping zinc concentration in soil

W Sun, S Liu, X Zhang, H Zhu - Science of the Total Environment, 2022 - Elsevier
Reflectance spectroscopy in visible, near-infrared, and short-wave infrared (VNIR-SWIR)
region has been recognized as a promising alternative for prediction of heavy metal …

Predicting cadmium concentration in soils using laboratory and field reflectance spectroscopy

X Zhang, W Sun, Y Cen, L Zhang, N Wang - Science of the Total …, 2019 - Elsevier
Visible and near-infrared spectroscopy (VNIRS, 350–2500 nm) is a promising alternative to
rapidly investigate soil contamination by heavy metals. To explore the possibility of …

Predicting nickel concentration in soil using reflectance spectroscopy associated with organic matter and clay minerals

W Sun, X Zhang, X Sun, Y Sun, Y Cen - Geoderma, 2018 - Elsevier
Heavy metal contamination in soil has become a serious environmental problem. Visible
and near-infrared reflectance spectroscopy (VNIRS) is recognized as an alternative to …