Research graph
References from Multi-scale Gaussian pyramid preprocessing of Vis–NIR and XRF spectra for heavy metal estimation in agricultural soils. Local targets link to admitted publications; unresolved targets remain external evidence.
Bioremediation of heavy metal(loid)s in agricultural soils and crops
10.1038/s44222-025-00345-y · 2025 · External reference
Heavy metals toxicity in plants: understanding mechanisms and developing coping strategies for remediation: a review
10.1186/s40643-025-00930-4 · 2025 · External reference
Heavy metal stress in plants: effects on nutrients and water uptake
2020 · External reference
Tissue-Specific responses and interactive characteristics of crop-microbe ”one health” system to soil chromium and ofloxacin pollution
10.1016/j.psep.2024.04.065 · 2024 · External reference
Heavy metal toxicity and its role as a major driver of past biodiversity crises
10.1038/s43247-025-02781-5 · 2025 · External reference
Heavy metal pollution in the environment and their toxicological effects on humans
10.1016/j.heliyon.2020.e04691 · 2020 · External reference
Vis–NIR and XRF data fusion and feature selection to estimate potentially toxic elements in soil
10.3390/s21072386 · 2021 · External reference
Satellite imagery for monitoring and mapping soil chromium pollution in a mine waste dump
10.3390/rs13071277 · 2021 · External reference
Rapid determination of low heavy metal concentrations in grassland soils around mining using vis–NIR spectroscopy: a case study of inner mongolia, china
10.3390/s21093220 · 2021 · External reference
Visible and near-infrared reflectance spectroscopy—an alternative for monitoring soil contamination by heavy metals
10.1016/j.jhazmat.2013.11.059 · 2014 · External reference
Improved mapping of soil heavy metals using a vis-NIR spectroscopy index in an agricultural area of eastern China
10.1109/access.2020.2976902 · 2020 · External reference
Monitoring of selected soil contaminants using proximal and remote sensing techniques: background, state-of-the-Art and future perspectives
10.1080/10643389.2018.1447717 · 2018 · External reference
Modelling potentially toxic elements in forest soils with vis–NIR spectra and learning algorithms
10.1016/j.envpol.2020.115574 · 2020 · External reference
Proximal sensing of Cu in soil and lettuce using portable X-ray fluorescence spectrometry
10.1016/j.geoderma.2015.11.008 · 2016 · External reference
X-ray fluorescence and visible near infrared sensor fusion for predicting soil chromium content
10.1016/j.geoderma.2019.05.036 · 2019 · External reference
Fractional order differentiation preprocessing based fusion of vis– NIR and pXRF : a new strategy for precise monitoring of low concentration heavy metals in arid agricultural soils
10.1002/ldr.70525 · 2026 · External reference
Visible and near infrared spectroscopy in soil science
10.1016/s0065-2113(10)07005-7 · 2010 · External reference
Identification method for XRF spectral analysis based on an AGA-BP-attention neural network
10.3390/electronics13030507 · 2024 · External reference
Spectroscopic diagnosis of Arsenic contamination in agricultural soils
10.3390/s17051036 · 2017 · External reference
Soil organic carbon content estimation with laboratory-based visible–near-infrared reflectance spectroscopy: feature selection
10.1366/13-07294 · 2014 · External reference
Soil toxic elements determination using integration of sentinel-2 and landsat-8 images: effect of fusion techniques on model performance
10.1016/j.envpol.2022.119828 · 2022 · External reference
Review of the most common pre-Processing techniques for near-Infrared spectra
10.1016/j.trac.2009.07.007 · 2009 · External reference
Feature engineering and parameter tuning: improving phenomic prediction ability in multi-environmental durum wheat breeding trials
10.1007/s00122-024-04695-w · 2024 · External reference
Improved analysis and modelling of soil diffuse reflectance spectra using wavelets
10.1111/j.1365-2389.2009.01121.x · 2009 · External reference
Multi-scale digital soil mapping with deep learning
10.1038/s41598-018-33516-6 · 2018 · External reference
Soil spectroscopy with the Gaussian pyramid scale space
10.1016/j.geoderma.2022.116095 · 2022 · External reference
Estimating soil salinity using multiple spectral indexes and machine learning algorithm in songnen plain, china
10.1109/jstars.2023.3274579 · 2023 · External reference
Chlorophyll-a and total suspended solids retrieval and mapping using sentinel-2A and machine learning for inland waters
10.1016/j.ecolind.2020.106236 · 2020 · External reference
Interdisciplinary geo-ecological research across time scales in the Northeast German lowland observatory (TERENO-NE)
10.2136/vzj2018.06.0116 · 2018 · External reference
An examination of the degtjareff method for determining soil organic matter, and a proposed modification of the chromic acid titration method:
10.1097/00010694-193401000-00003 · 1934 · External reference
Soil organic carbon and texture retrieving and mapping using proximal, airborne and sentinel-2 spectral imaging
10.1016/j.rse.2018.09.015 · 2018 · External reference
Reflectance measurements of soils in the laboratory: standards and protocols
10.1016/j.geoderma.2015.01.002 · 2015 · External reference
Synergistic use of Vis-NIR, MIR, and XRF spectroscopy for the determination of soil geochemistry
10.2136/sssaj2015.10.0361 · 2016 · External reference
Integration of vis-NIR and pXRF spectroscopy for rapid measurement of soil lead concentrations
10.1071/sr19174 · 2020 · External reference
Data fusion for the measurement of potentially toxic elements in soil using portable spectrometers
10.1016/j.envpol.2020.114649 · 2020 · External reference
The Laplacian pyramid as a compact image code
10.1109/tcom.1983.1095851 · 1983 · External reference
Distinctive image features from scale-invariant keypoints
10.1023/b:visi.0000029664.99615.94 · 2004 · External reference
Multiscale contextual spatial modelling with the Gaussian scale space
10.1016/j.geoderma.2017.09.015 · 2018 · External reference
High-resolution agriculture soil property maps from digital soil mapping methods, czech republic
10.1016/j.catena.2022.106024 · 2022 · External reference
Gaussian pyramid based multiscale feature fusion for hyperspectral image classification
10.1109/jstars.2018.2856741 · 2018 · External reference
Fractal analysis of Laplacian pyramidal filters applied to segmentation of soil images
10.1155/2014/212897 · 2014 · External reference
Hyperspectral classification of two-branch joint networks based on Gaussian pyramid multiscale and wavelet transform
10.1109/access.2022.3172501 · 2022 · External reference
Learning with continuous classes
1992 · External reference
Combining instance-based and model-based learning
1993 · External reference
Unresolved reference
2013 · External reference
A machine learning approach to estimating the error in satellite sea surface temperature retrievals
10.1016/j.rse.2020.112227 · 2021 · External reference
Random forests and cubist algorithms for predicting shear strengths of rockfill materials
10.3390/app9081621 · 2019 · External reference
A hybrid training approach for leaf area index estimation via cubist and random forests machine-Learning
10.1016/j.isprsjprs.2017.10.004 · 2018 · External reference
Evaluation and prediction of topsoil organic carbon using machine learning and hybrid models at a field-scale
10.1016/j.catena.2021.105258 · 2021 · External reference
Soil organic carbon measurements influence FT-NIR model training in calcareous soils of saskatchewan
10.1002/saj2.70034 · 2025 · External reference
The effectiveness of data pre-processing methods on the performance of machine learning techniques using RF, SVR, cubist and SGB: a study on undrained shear strength prediction
10.1007/s00477-024-02745-9 · 2024 · External reference
An analysis of variance test for normality (complete samples)
10.2307/2333709 · 1965 · External reference
Spectral prediction of soil salinity and Alkalinity indicators using visible, near-, and mid-infrared spectroscopy
10.1016/j.jenvman.2023.118854 · 2023 · External reference
Critical review of chemometric indicators commonly used for assessing the quality of the prediction of soil attributes by NIR spectroscopy
10.1016/j.trac.2010.05.006 · 2010 · External reference
Potential for onsite and online analysis of pig manure using visible and near infrared reflectance spectroscopy
10.1016/j.biosystemseng.2005.05.001 · 2005 · External reference
Estimation of gross calorific value of coal based on the cubist regression model
2024 · External reference
10.32614/cran.package.cubist
10.32614/cran.package.cubist · External reference
Rapid estimation of soil cation exchange capacity through sensor data fusion of portable XRF spectrometry and Vis-NIR spectroscopy
10.1016/j.geoderma.2019.114163 · 2020 · External reference
Quantitative analysis of soil cd content based on the fusion of vis-NIR and XRF spectral data in the impacted area of a metallurgical slag site in Gejiu, Yunnan
10.3390/pr11092714 · 2023 · External reference
Inversion estimation of soil organic matter in songnen plain based on multispectral analysis
10.3390/land11050608 · 2022 · External reference
Unresolved reference
External reference
Evaluating the protective capacity of soil heavy metals regulation limits on human health: a critical analysis concerning risk assessment - importance of localization
10.1016/j.jenvman.2024.121197 · 2024 · External reference
Quantitative analysis of the compliance of EU sewage sludge directive by using the heavy metal concentrations from LUCAS topsoil database
10.1007/s11356-024-31835-y · 2024 · External reference
Bundes-bodenschutz- und altlastenverordnung (BBodSchV)
2021 · External reference
Effect of organic matter content on the spectral signature of iron oxides across the VIS–NIR spectral region in artificial mixtures: an example from a red soil from Israel
10.3390/rs12121960 · 2020 · External reference
Assessment of biophysical soil properties through spectral decomposition techniques
10.1016/0034-4257(91)90008-t · 1991 · External reference
Predicting soil organic carbon in cultivated land across geographical and spatial scales: integrating sentinel-2A and laboratory Vis-NIR spectra
10.1016/j.isprsjprs.2023.07.020 · 2023 · External reference
A systematic study on the application of scatter-corrective and spectral-derivative preprocessing for multivariate prediction of soil organic carbon by Vis-NIR spectra
10.1016/j.geoderma.2017.11.006 · 2018 · External reference
Assessing soil organic matter content in a coal mining area through spectral variables of different numbers of dimensions
10.3390/s20061795 · 2020 · External reference
Spectroscopic signatures for expeditious monitoring of contamination risks at abandoned coal mine sites
10.1016/j.chemer.2025.126292 · 2025 · External reference
Effect of X-ray tube configuration on measurement of key soil fertility attributes with XRF
10.3390/rs12060963 · 2020 · External reference
Henry Moseley, X-ray spectroscopy and the periodic table
2020 · External reference
Quantification of total element concentrations in soils using total X-ray fluorescence spectroscopy (TXRF)
10.1016/j.scitotenv.2013.05.068 · 2013 · External reference
Insights into mixed contaminants interactions and its implication for heavy metals and metalloids mobility, bioavailability and risk assessment
10.1016/j.scitotenv.2018.07.179 · 2018 · External reference
Estimation of key potentially toxic elements in arid agricultural soils using Vis-NIR spectroscopy with variable selection and PLSR algorithms
10.3389/fenvs.2023.1222871 · 2023 · External reference
Method 6200: Field Portable X-Ray Fluorescence Spectrometry for the Determination of Elemental Concentrations in Soil and Sediment
2007 · External reference
Can field portable X-ray fluorescence (pXRF) produce high quality data for application in environmental contamination research?
10.1016/j.envpol.2016.03.055 · 2016 · External reference
Portable X-ray fluorescence for environmental assessment of soils: not just a point and shoot method
10.1016/j.envint.2019.105250 · 2020 · External reference
In situ investigation of heavy metals at trace concentrations in greenhouse soils via portable X-ray fluorescence spectroscopy
10.1007/s11356-018-1405-8 · 2018 · External reference
Quantitative analysis of heavy metals in soil by X-ray fluorescence with improved variable selection strategy and bayesian optimized support vector regression
10.1016/j.chemolab.2023.104842 · 2023 · External reference
A mechanism study of reflectance spectroscopy for investigating heavy metals in soils
10.2136/sssaj2006.0285 · 2007 · External reference
Portable X-ray fluorescence as a tool for urban soil contamination analysis: accuracy, precision, and practicality
10.5194/soil-11-565-2025 · 2025 · External reference
Fractional order differentiation preprocessing based fusion of vis– NIR and pXRF : a new strategy for precise monitoring of low concentration heavy metals in arid agricultural soils
10.1002/ldr.70525 · ExternalCitation · doi-reference
Soil organic carbon measurements influence FT-NIR model training in calcareous soils of saskatchewan
10.1002/saj2.70034 · ExternalCitation · doi-reference
Feature engineering and parameter tuning: improving phenomic prediction ability in multi-environmental durum wheat breeding trials
10.1007/s00122-024-04695-w · ExternalCitation · doi-reference
The effectiveness of data pre-processing methods on the performance of machine learning techniques using RF, SVR, cubist and SGB: a study on undrained shear strength prediction
10.1007/s00477-024-02745-9 · ExternalCitation · doi-reference
In situ investigation of heavy metals at trace concentrations in greenhouse soils via portable X-ray fluorescence spectroscopy
10.1007/s11356-018-1405-8 · ExternalCitation · doi-reference
Quantitative analysis of the compliance of EU sewage sludge directive by using the heavy metal concentrations from LUCAS topsoil database
10.1007/s11356-024-31835-y · ExternalCitation · doi-reference
Assessment of biophysical soil properties through spectral decomposition techniques
10.1016/0034-4257(91)90008-t · ExternalCitation · doi-reference
Potential for onsite and online analysis of pig manure using visible and near infrared reflectance spectroscopy
10.1016/j.biosystemseng.2005.05.001 · ExternalCitation · doi-reference
Evaluation and prediction of topsoil organic carbon using machine learning and hybrid models at a field-scale
10.1016/j.catena.2021.105258 · ExternalCitation · doi-reference
High-resolution agriculture soil property maps from digital soil mapping methods, czech republic
10.1016/j.catena.2022.106024 · ExternalCitation · doi-reference
Spectroscopic signatures for expeditious monitoring of contamination risks at abandoned coal mine sites
10.1016/j.chemer.2025.126292 · ExternalCitation · doi-reference
Quantitative analysis of heavy metals in soil by X-ray fluorescence with improved variable selection strategy and bayesian optimized support vector regression
10.1016/j.chemolab.2023.104842 · ExternalCitation · doi-reference
Chlorophyll-a and total suspended solids retrieval and mapping using sentinel-2A and machine learning for inland waters
10.1016/j.ecolind.2020.106236 · ExternalCitation · doi-reference
Portable X-ray fluorescence for environmental assessment of soils: not just a point and shoot method
10.1016/j.envint.2019.105250 · ExternalCitation · doi-reference
Can field portable X-ray fluorescence (pXRF) produce high quality data for application in environmental contamination research?
10.1016/j.envpol.2016.03.055 · ExternalCitation · doi-reference
Data fusion for the measurement of potentially toxic elements in soil using portable spectrometers
10.1016/j.envpol.2020.114649 · ExternalCitation · doi-reference
Modelling potentially toxic elements in forest soils with vis–NIR spectra and learning algorithms
10.1016/j.envpol.2020.115574 · ExternalCitation · doi-reference
Soil toxic elements determination using integration of sentinel-2 and landsat-8 images: effect of fusion techniques on model performance
10.1016/j.envpol.2022.119828 · ExternalCitation · doi-reference
Reflectance measurements of soils in the laboratory: standards and protocols
10.1016/j.geoderma.2015.01.002 · ExternalCitation · doi-reference
Proximal sensing of Cu in soil and lettuce using portable X-ray fluorescence spectrometry
10.1016/j.geoderma.2015.11.008 · ExternalCitation · doi-reference
Multiscale contextual spatial modelling with the Gaussian scale space
10.1016/j.geoderma.2017.09.015 · ExternalCitation · doi-reference
A systematic study on the application of scatter-corrective and spectral-derivative preprocessing for multivariate prediction of soil organic carbon by Vis-NIR spectra
10.1016/j.geoderma.2017.11.006 · ExternalCitation · doi-reference
X-ray fluorescence and visible near infrared sensor fusion for predicting soil chromium content
10.1016/j.geoderma.2019.05.036 · ExternalCitation · doi-reference
Rapid estimation of soil cation exchange capacity through sensor data fusion of portable XRF spectrometry and Vis-NIR spectroscopy
10.1016/j.geoderma.2019.114163 · ExternalCitation · doi-reference
Soil spectroscopy with the Gaussian pyramid scale space
10.1016/j.geoderma.2022.116095 · ExternalCitation · doi-reference
Heavy metal pollution in the environment and their toxicological effects on humans
10.1016/j.heliyon.2020.e04691 · ExternalCitation · doi-reference
A hybrid training approach for leaf area index estimation via cubist and random forests machine-Learning
10.1016/j.isprsjprs.2017.10.004 · ExternalCitation · doi-reference
Predicting soil organic carbon in cultivated land across geographical and spatial scales: integrating sentinel-2A and laboratory Vis-NIR spectra
10.1016/j.isprsjprs.2023.07.020 · ExternalCitation · doi-reference
Spectral prediction of soil salinity and Alkalinity indicators using visible, near-, and mid-infrared spectroscopy
10.1016/j.jenvman.2023.118854 · ExternalCitation · doi-reference
Evaluating the protective capacity of soil heavy metals regulation limits on human health: a critical analysis concerning risk assessment - importance of localization
10.1016/j.jenvman.2024.121197 · ExternalCitation · doi-reference
Visible and near-infrared reflectance spectroscopy—an alternative for monitoring soil contamination by heavy metals
10.1016/j.jhazmat.2013.11.059 · ExternalCitation · doi-reference
Tissue-Specific responses and interactive characteristics of crop-microbe ”one health” system to soil chromium and ofloxacin pollution
10.1016/j.psep.2024.04.065 · ExternalCitation · doi-reference
Soil organic carbon and texture retrieving and mapping using proximal, airborne and sentinel-2 spectral imaging
10.1016/j.rse.2018.09.015 · ExternalCitation · doi-reference
A machine learning approach to estimating the error in satellite sea surface temperature retrievals
10.1016/j.rse.2020.112227 · ExternalCitation · doi-reference
Quantification of total element concentrations in soils using total X-ray fluorescence spectroscopy (TXRF)
10.1016/j.scitotenv.2013.05.068 · ExternalCitation · doi-reference
Insights into mixed contaminants interactions and its implication for heavy metals and metalloids mobility, bioavailability and risk assessment
10.1016/j.scitotenv.2018.07.179 · ExternalCitation · doi-reference
Review of the most common pre-Processing techniques for near-Infrared spectra
10.1016/j.trac.2009.07.007 · ExternalCitation · doi-reference
Critical review of chemometric indicators commonly used for assessing the quality of the prediction of soil attributes by NIR spectroscopy
10.1016/j.trac.2010.05.006 · ExternalCitation · doi-reference
Visible and near infrared spectroscopy in soil science
10.1016/s0065-2113(10)07005-7 · ExternalCitation · doi-reference
Distinctive image features from scale-invariant keypoints
10.1023/b:visi.0000029664.99615.94 · ExternalCitation · doi-reference
Multi-scale digital soil mapping with deep learning
10.1038/s41598-018-33516-6 · ExternalCitation · doi-reference
Heavy metal toxicity and its role as a major driver of past biodiversity crises
10.1038/s43247-025-02781-5 · ExternalCitation · doi-reference
Bioremediation of heavy metal(loid)s in agricultural soils and crops
10.1038/s44222-025-00345-y · ExternalCitation · doi-reference
Integration of vis-NIR and pXRF spectroscopy for rapid measurement of soil lead concentrations
10.1071/sr19174 · ExternalCitation · doi-reference
Monitoring of selected soil contaminants using proximal and remote sensing techniques: background, state-of-the-Art and future perspectives
10.1080/10643389.2018.1447717 · ExternalCitation · doi-reference
An examination of the degtjareff method for determining soil organic matter, and a proposed modification of the chromic acid titration method:
10.1097/00010694-193401000-00003 · ExternalCitation · doi-reference
Improved mapping of soil heavy metals using a vis-NIR spectroscopy index in an agricultural area of eastern China
10.1109/access.2020.2976902 · ExternalCitation · doi-reference
Hyperspectral classification of two-branch joint networks based on Gaussian pyramid multiscale and wavelet transform
10.1109/access.2022.3172501 · ExternalCitation · doi-reference
Gaussian pyramid based multiscale feature fusion for hyperspectral image classification
10.1109/jstars.2018.2856741 · ExternalCitation · doi-reference
Estimating soil salinity using multiple spectral indexes and machine learning algorithm in songnen plain, china
10.1109/jstars.2023.3274579 · ExternalCitation · doi-reference
The Laplacian pyramid as a compact image code
10.1109/tcom.1983.1095851 · ExternalCitation · doi-reference
Improved analysis and modelling of soil diffuse reflectance spectra using wavelets
10.1111/j.1365-2389.2009.01121.x · ExternalCitation · doi-reference
Fractal analysis of Laplacian pyramidal filters applied to segmentation of soil images
10.1155/2014/212897 · ExternalCitation · doi-reference
Heavy metals toxicity in plants: understanding mechanisms and developing coping strategies for remediation: a review
10.1186/s40643-025-00930-4 · ExternalCitation · doi-reference
Soil organic carbon content estimation with laboratory-based visible–near-infrared reflectance spectroscopy: feature selection
10.1366/13-07294 · ExternalCitation · doi-reference
A mechanism study of reflectance spectroscopy for investigating heavy metals in soils
10.2136/sssaj2006.0285 · ExternalCitation · doi-reference
Synergistic use of Vis-NIR, MIR, and XRF spectroscopy for the determination of soil geochemistry
10.2136/sssaj2015.10.0361 · ExternalCitation · doi-reference
Interdisciplinary geo-ecological research across time scales in the Northeast German lowland observatory (TERENO-NE)
10.2136/vzj2018.06.0116 · ExternalCitation · doi-reference
An analysis of variance test for normality (complete samples)
10.2307/2333709 · ExternalCitation · doi-reference
10.32614/cran.package.cubist
10.32614/cran.package.cubist · ExternalCitation · doi-reference
Estimation of key potentially toxic elements in arid agricultural soils using Vis-NIR spectroscopy with variable selection and PLSR algorithms
10.3389/fenvs.2023.1222871 · ExternalCitation · doi-reference
Random forests and cubist algorithms for predicting shear strengths of rockfill materials
10.3390/app9081621 · ExternalCitation · doi-reference
Identification method for XRF spectral analysis based on an AGA-BP-attention neural network
10.3390/electronics13030507 · ExternalCitation · doi-reference
Inversion estimation of soil organic matter in songnen plain based on multispectral analysis
10.3390/land11050608 · ExternalCitation · doi-reference
Quantitative analysis of soil cd content based on the fusion of vis-NIR and XRF spectral data in the impacted area of a metallurgical slag site in Gejiu, Yunnan
10.3390/pr11092714 · ExternalCitation · doi-reference
Effect of X-ray tube configuration on measurement of key soil fertility attributes with XRF
10.3390/rs12060963 · ExternalCitation · doi-reference
Effect of organic matter content on the spectral signature of iron oxides across the VIS–NIR spectral region in artificial mixtures: an example from a red soil from Israel
10.3390/rs12121960 · ExternalCitation · doi-reference
Satellite imagery for monitoring and mapping soil chromium pollution in a mine waste dump
10.3390/rs13071277 · ExternalCitation · doi-reference
Spectroscopic diagnosis of Arsenic contamination in agricultural soils
10.3390/s17051036 · ExternalCitation · doi-reference
Assessing soil organic matter content in a coal mining area through spectral variables of different numbers of dimensions
10.3390/s20061795 · ExternalCitation · doi-reference
Vis–NIR and XRF data fusion and feature selection to estimate potentially toxic elements in soil
10.3390/s21072386 · ExternalCitation · doi-reference
Rapid determination of low heavy metal concentrations in grassland soils around mining using vis–NIR spectroscopy: a case study of inner mongolia, china
10.3390/s21093220 · ExternalCitation · doi-reference
Portable X-ray fluorescence as a tool for urban soil contamination analysis: accuracy, precision, and practicality
10.5194/soil-11-565-2025 · ExternalCitation · doi-reference
