Maria Knadel
pure.au.dk
0000-0001-7539-6191
Aarhus University
102 papers found
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Comparing laser-induced breakdown spectroscopy and visible near-infrared spectroscopy for predicting soil properties: A pan-European study
Effect of sample pretreatment on pelletization and performance of laser-induced breakdown spectroscopy for predicting key soil properties
Visible Near-Infrared Spectroscopy and Pedotransfer Function Well Predict Soil Sorption Coefficient of Glyphosate
Contribution of organic carbon to the total specific surface area of soils with varying clay mineralogy
Soil assessment in Denmark: Towards soil functional mapping and beyond
Mathematical techniques to remove moisture effects from visible–near-infrared–shortwave-infrared soil spectra—review
Soil mapping and priorities in Denmark
Water repellency prediction in high‐organic Greenlandic soils: Comparing vis–NIRS to pedotransfer functions
Estimating Atterberg limits of soils from reflectance spectroscopy and pedotransfer functions
Combining Vis–NIR spectroscopy and advanced statistical analysis for estimation of soil chemical properties relevant for forest road construction
Combining Laser-Induced Breakdown Spectroscopy (LIBS) and Visible Near-Infrared Spectroscopy (Vis-NIRS) for Soil Phosphorus Determination
Total Phosphorus Determination in Soils Using Laser-Induced Breakdown Spectroscopy: Evaluating Different Sources of Matrix Effects
Predicting the dry bulk density of soils across Denmark: Comparison of single-parameter, multi-parameter, and vis–NIR based models
Predicting glyphosate sorption across New Zealand pastoral soils using basic soil properties or Vis–NIR spectroscopy
Estimating coefficient of linear extensibility using Vis–NIR reflectance spectral data
Estimating coefficient of linear extensibility using Vis–NIR reflectance spectral data: Comparison of model validation approaches
Combining visible near‐infrared spectroscopy and water vapor sorption for soil specific surface area estimation
The Relation between Soil Water Repellency and Water Content Can Be Predicted by Vis‐NIR Spectroscopy
On‐the‐Go Sensor Fusion for Prediction of Clay and Organic Carbon Using Pre‐processing Survey, Different Validation Methods, and Variable Selection
Comparing Visible–Near‐Infrared Spectroscopy and a Pedotransfer Function for Predicting the Dry Region of the Soil‐Water Retention Curve
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