Method of determining salinity of an area of soil
First Claim
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1. A method of determining the salinity of an area of soil including the steps of:
- providing signal data from a radar scan of the area of soil;
providing field collected data representative of the salinity of discrete points within the area;
applying vegetation correction to the signal data including;
evaluating the Cloude decomposition of the signal data to determine eigenvalues;
calculating parameters of a characteristic equation by non-linear regression from the collected data, the eigenvalues and the signal data; and
correcting the signal data using the calculated parameters in the characteristic equation;
inverting the corrected data to determine the magnitude of the imaginary dielectric values; and
calculating the salinity level from each of the dielectric values.
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Abstract
A method of determining the salinity of an area of soil includes providing signal data from a radar scan of the area of soil. Improved vegetation correction is applied to the signal data using a Cloude decomposition method or a “xhv” method. In some circumstances existing vegetation correction methods are used and a synergistically improved corrected obtained. The corrected data is then inverted to determine the magnitude of the dielectric values. Salinity levels are calculated from each of the imaginary component of dielectric values.
4 Citations
29 Claims
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1. A method of determining the salinity of an area of soil including the steps of:
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providing signal data from a radar scan of the area of soil; providing field collected data representative of the salinity of discrete points within the area; applying vegetation correction to the signal data including; evaluating the Cloude decomposition of the signal data to determine eigenvalues; calculating parameters of a characteristic equation by non-linear regression from the collected data, the eigenvalues and the signal data; and correcting the signal data using the calculated parameters in the characteristic equation; inverting the corrected data to determine the magnitude of the imaginary dielectric values; and calculating the salinity level from each of the dielectric values. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16)
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17. A method of determining the salinity of an area of soil including the steps of:
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providing signal data from a radar scan of the area of soil, the radar scan including L band data; the data in the form of a polarised scattering co-efficient; applying vegetation correction to the signal data including; determining a ratio, x, of σ
HH divided by σ
HV for each data point in the C band; andcalculating corrected data for each data point in the L band according to the formula (σ
HH−
x.σ
HV)/(σ
VV−
x.σ
HV), where σ
HH is horizontally polarised transmitted/received scattering co-efficient, σ
HV is horizontally-vertically polarised transmitted/received scattering co-efficient and σ
VV is vertically polarised transmitted/received scattering co-efficient;inverting the corrected data to determine the magnitude of the imaginary dielectric values; and calculating the salinity level from each of the dielectric values. - View Dependent Claims (18, 19, 20, 21)
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22. A system for determining the salinity of an area of soil comprising:
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a input for receiving signal data from a radar scan of the area of soil and for receiving collected field data representative of the salinity of discrete points within the area; a device configured to apply vegetation correction to the received signal data, said device comprising a processor configured to evaluate the Cloude decomposition of the signal data to determine eigenvalues, said processor further configured to calculate parameters of a characteristic equation by non-linear regression from the collected field data, the eigenvalues and the signal data, said processor further configured to correct the signal data using the calculated parameters in the characteristic equation, said processor further configured to invert the corrected data to determine the magnitude of imaginary dielectric values, and calculate salinity level data from each of the imaginary dielectric values; and an output for providing the salinity level data. - View Dependent Claims (23, 24)
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25. A system for determining the salinity of an area of soil comprising:
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an input for receiving signal data from a radar scan of the area of soil, the radar scan including L band data, the data in the form of a polarised scattering co-efficient; a device configured to apply vegetation correction to the signal data, said device comprising a processor configured to determine a ratio, x, of σ
HH divided by σ
HV for each data point in the C band, and calculate corrected data for each data point in the L band according to the formula (σ
HH−
x.σ
HV)/(σ
VV−
x.σ
HV);said processor further configured to invert the corrected data to determine the magnitude of imaginary dielectric values and calculate salinity level data from each of the imaginary dielectric values;
an output for providing the salinity level data, where σ
HH is horizontally polarised transmitted/received scattering co-efficient, σ
HV is horizontally-vertically polarised transmitted/received scattering co-efficient andσ
VV is vertically polarised transmitted/received scattering co-efficient.
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26. A device for determining the salinity of an area of soil by applying a vegetation correction to signal data from a radar scan of the area of soil comprising;
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a processor configured to evaluate the Cloude decomposition of the signal data to determine eigenvalues; said processor further configured to calculate parameters of a characteristic equation by non-linear regression from collected field data representative of the salinity of discrete points within the area, the eigenvalues and the signal data; said processor further configured to correct the signal data using the calculated parameters in the characteristic equation; said processor further configured to invert the corrected data to determine the magnitude of imaginary dielectric values, and calculate the salinity level from each of the imaginary dielectric values.
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27. A device for determining the salinity of an area of soil by applying vegetation correction to the signal data from a radar scan of the area of soil, by the radar scan including L band data, the data in the form of a polarised scattering co-efficient, said device comprising;
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a processor configured to determine a ratio, x, of σ
HH divided by σ
HV for each data point in the C band, and calculate corrected data for each data point in the L band according to the formula (σ
HH−
x.σ
HV)/(σ
VV−
x.σ
HV);said processor further configured to invert the corrected data to determine the magnitude of imaginary dielectric values and calculate salinity level data from each of the imaginary dielectric values, where σ
HH is horizontally polarised transmitted/received scattering co-efficient, σ
HV is horizontally-vertically polarised transmitted/received scattering co-efficient and σ
VV is vertically polarised transmitted/received scattering co-efficient.
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28. A computer program for controlling a computer to determine the salinity of an area of soil by:
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inputting signal data from a radar scan of an area of soil; inputting field collected data representative of the salinity of discrete points within the area; applying vegetation correction to the signal data including; evaluating the Cloude decomposition of the signal data to determine eigenvalues; calculating parameters of a characteristic equation by non-linear regression from the calculated data, the eigenvalues and the signal data; and correcting the signal data using the calculated parameters in the characteristic equations; inverting the corrected data to determine the magnitude of the imaginary dielectric values; calculating the salinity level from each of the dielectric values; and outputting the calculated salinity levels.
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29. A computer program product embodied in a computer readable storage medium for controlling a computer to determine the salinity of an area of soil comprising a computer program for controlling a computer to:
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input signal data from a radar scan of an area of soil; input field collected data representative of the salinity of discrete points within the area; apply vegetation correction to the signal data including; evaluating the Cloude decomposition of the signal data to determine eigen values; calculating parameters of a characteristic equation by non-linear regression from the calculated data, the eigen values and the signal data; and correcting the signal data using the calculated parameters in the characteristic equations; invert the corrected data to determine the magnitude of the imaginary dielectric values; calculate the salinity level from each of the dielectric values; and output the calculated salinity levels.
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Specification