Utilizing Hyperspectral Remote Sensing for Gradation of Soils
Technical Report,01 Jan 2019,02 Mar 2020
US ARMY CCDC GVSC WARREN United States
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Remote sensing is the process of measuring the property of an object from a distance without having direct contact with the object of interest. Remote sensors collect electromagnetic energy reflected or radiated from the object. When the remote sensors have the sensitivity to detect narrow bandwidths 5-10 nm of the electromagnetic spectrum, they are referred to as hyperspectral remote sensing. Hyperspectral remote sensing provides us the opportunity to look at the unique signatures and characteristics of materials. In this research, we are particularly interested in the application of hyperspectral remote sensing to characterize soil gradation. The specific objective of this work is to explore the application of hyperspectral remote sensing to be used as an alternative to traditional soil gradation estimation. The advantage of such an approach is that it would provide the soil gradation without having to obtain a field sample. This information can be vital to identify the soil type, soil strength, permeabilityhydraulic conductivity, and other properties that are correlated to the gradation of the soil. Our study demonstrates a correlation between hyperspectral data, the percent gravel and sand composition of soil. Using this correlation one can predict the percent gravel and sand within a soil and in turn calculate the remaining percent of fine particles. Thus, giving the entire gradation breakdown of a soil. This breakdown then allows one to classify it within the Unified Soil Classification System USCS.
- Atomic and Molecular Physics and Spectroscopy
- Geology, Geochemistry and Mineralogy