Monitoring natural and anthropogenic plant stressors by hyperspectral remote sensing: Recommendations and guidelines based on a meta-review
G Lassalle - Science of the Total Environment, 2021 - Elsevier
This review outlines the advances achieved in monitoring natural and anthropogenic plant
stressors by hyperspectral remote sensing over the last 50 years. A broad diversity of …
stressors by hyperspectral remote sensing over the last 50 years. A broad diversity of …
VIRS based detection in combination with machine learning for map** soil pollution
Widespread soil contamination threatens living standards and weakens global efforts
towards the Sustainable Development Goals (SDGs). Detailed soil map** is needed to …
towards the Sustainable Development Goals (SDGs). Detailed soil map** is needed to …
Potential driving forces and probabilistic health risks of heavy metal accumulation in the soils from an e-waste area, southeast China
H Chen, L Wang, B Hu, J Xu, X Liu - Chemosphere, 2022 - Elsevier
The integrated analysis of the distribution characteristics, health risks, and source
identification of heavy metals is crucial for formulating prevention and control strategies for …
identification of heavy metals is crucial for formulating prevention and control strategies for …
Map** soil organic carbon stock by hyperspectral and time-series multispectral remote sensing images in low-relief agricultural areas
High-precision digital soil organic carbon (SOC) stocks map** is very important for
agricultural production management and global carbon cycle. The spatial heterogeneity of …
agricultural production management and global carbon cycle. The spatial heterogeneity of …
Plant nanobionic sensors for arsenic detection
Arsenic is a highly toxic heavy‐metal pollutant which poses a significant health risk to
humans and other ecosystems. In this work, the natural ability of wild‐type plants to pre …
humans and other ecosystems. In this work, the natural ability of wild‐type plants to pre …
Regional and global hotspots of arsenic contamination of topsoil identified by deep learning
Topsoil arsenic (As) contamination threatens the ecological environment and human health.
However, traditional methods for As identification rely on on-site sampling and chemical …
However, traditional methods for As identification rely on on-site sampling and chemical …
SOC content of global Mollisols at a 30 m spatial resolution from 1984 to 2021 generated by the novel ML-CNN prediction model
X Meng, Y Bao, C Luo, X Zhang, H Liu - Remote Sensing of Environment, 2024 - Elsevier
Carbon cycle is influenced by agricultural soils, and accurately map** the soil organic
carbon (SOC) content of global Mollisols at a 30 m spatial resolution can contribute to …
carbon (SOC) content of global Mollisols at a 30 m spatial resolution can contribute to …
Estimating heavy metal concentrations in suburban soils with reflectance spectroscopy
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 …
Rapidly and reliably obtaining heavy metal concentrations in soil is vital for soil monitoring …
Map** soil arsenic pollution at a brownfield site using satellite hyperspectral imagery and machine learning
X Jia, D Hou - Science of The Total Environment, 2023 - Elsevier
Heavy metal contamination is ubiquitous in brownfields. Traditional site investigation
employs geostatistical interpolation methods (GIMs) to predict the distribution of soil …
employs geostatistical interpolation methods (GIMs) to predict the distribution of soil …
The effect of silicon on iron plaque formation and arsenic accumulation in rice genotypes with different radial oxygen loss (ROL)
C Wu, Q Zou, SG Xue, WS Pan, L Huang… - Environmental …, 2016 - Elsevier
Rice is one of the major pathways of arsenic (As) exposure in human food chain, threatening
over half of the global population. Greenhouse pot experiments were conducted to examine …
over half of the global population. Greenhouse pot experiments were conducted to examine …