Algorithms for Rapid, On-Site Characterization of Soil Chemical and Physical Properties

Technology #d-1074

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Dr. David Weindorf
Dr. Weindorf has focused his research efforts on the development of applications for new technologies in field soil survey, land use management/planning, remote sensing, environmental quality assessment, compost science, and international translational soil taxonomy.
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Somsubhra Chakraborty
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Cameron Smith
Licensing Associate 806-834-6822
Patent Protection

Provisional Patent Application Filed

PCT Patent Application Filed
Development of a hubrid proximal sensing method for rapid identification of petroleum contaminated soils
Science fo the Total Environmnet, January 26, 2015
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Development of a hubrid proximal sensing method for rapid identification of petroleum contaminated soils [PDF]

The technology merges data from both Visible Near Infrared Diffuse Reflectance Spectroscopy (VisNIR DRS) (350-2500 nm) with data from Portable X-Ray Fluorescence Spectrometry (PXRF) into proprietary algorithms for rapid, on-site characterization of soil chemical and physical parameters.  This is a dual VisNIR/PXRF sensor system which integrates data seamlessly on-site using both data sets for optimized predictions of soil properties.

Market Applications:

The technology allows for rapid soil analysis and can therefore be applied in the following fields:

  • Regulatory Agencies (Environmental Protection Agency, State Commissions on Environmental Quality)
  • Environmental Remediation
  • Crop Science
  • Oil & Hydrocarbon Exploration

Features, Benefits & Advantages:

  • Rapid, less expensive, in-situ soil analysis and characterization
  • Allows for soil analysis of large tracts with qualitative and quantitative information characteristics
  • Enables soil scientists and remediation experts to access sample data in real-time allowing for instant feedback 

Development Stage: 

The technology has been reduced to practice with excellent results.  This is part of an ongoing research project and additional enhancements to optimize the integration of the data sets will continue.