Systems and methods for high-resolution soil and vegetation moisture content monitoring using full polarimetric global navigation satellite system (GNSS) signals
One embodiment includes a system for moisture content detection and surface evaluation, including a set of one or more antennas, a radiometer, a reflectometer, a set of one or more cameras, a Global Navigation Satellite System receiver, a memory containing an evaluation application, and a processor including a set of one or more processors, wherein the evaluation application configures the processors to evaluate a surface underneath the system by performing the steps of obtaining a plurality of measurements using the radiometer, the reflectometer, and the set of one or more cameras, obtaining a set of one or more observables based on the plurality of measurements; at a high spatial resolution, generating a set of one or more environmental products based on at least one observable from the set of one or more observables, and displaying the set of one or more environmental products on a graphical user interface.
1 . A system for high-resolution moisture content detection and surface evaluation, the system comprising:
a set of one or more antennas;
a radiometer;
a reflectometer;
a set of one or more cameras;
a Global Navigation Satellite System (GNSS) receiver;
a memory containing an evaluation application; and
a processor comprising a set of one or more processors, wherein the evaluation application configures the set of one or more processors to evaluate a surface underneath the system by performing the steps of:
obtaining a plurality of measurements using the radiometer, the reflectometer, and the set of one or more cameras;
obtaining a set of one or more observables based on the plurality of measurements at a high spatial resolution;
generating a set of one or more environmental products based on at least one observable from the set of one or more observables; and
displaying the set of one or more environmental products on a graphical user interface (GUI).
2 . The system of claim 1 , wherein the radiometer is an L-band radiometer centered at 1.413 GHz.
3 . The system of claim 1 , wherein the reflectometer is a full polarimetric multi-band GNSS reflectometer that receives signals in the L1, L2, and L5 GPS bands, and E1 and E5 Galileo bands.
4 . The system of claim 1 , wherein the set of one or more cameras are multi-spectral cameras with sensitivities at 550 nm, 660 nm, 735 nm, and 790 nm bands.
5 . The system of claim 1 , wherein the obtaining of the plurality of measurements comprises receiving Global Navigation Satellite System Reflectometry (GNSS-R) signals reflected off of the surface.
6 . The system of claim 1 , wherein obtaining the set of one or more observables further comprises computing Delay Doppler Maps of both polarizations of received GNSS-R signals.
7 . The system of claim 1 , wherein the set of one or more antennas comprises a right-hand circular polarization (RHCP) active antenna, and a Dual Polarized Antenna.
8 . The system of claim 1 , wherein the radiometer further comprises a digital backend comprising an 8-channel poly-phase filter bank with a channel bandwidth from 1 to 4 MHz.
9 . The system of claim 1 , wherein the radiometer is calibrated using a single pole three throws switch commuting method.
10 . The system of claim 1 , further comprising a software-defined radio (SDR) board that demodulates received GNSS-R signals using in-phase/quadrature (I/Q) demodulation.
11 . The system of claim 1 , wherein the observables of the surface comprises at least one observable selected from the group consisting of: soil moisture (SM), normalized difference vegetation index (NDVI), vegetation water content (VWC), surface roughness, volume scattering, reflectivity, signal coherency, and canopy temperature.
12 . The system of claim 1 , wherein the environmental products comprise at least one selected from the group consisting of: soil moisture condition (SMC), biomass fuel (BF), terrain classification (TC), and fire risk index (FRI).
13 . The system of claim 1 , wherein the radiometer brightness temperature measurements are calibrated using a two-load calibration procedure.
14 . The system of claim 11 , wherein the NDVI and VWC are computed based on measurements from the set of one or more cameras.
15 . The system of claim 11 , wherein the volume scattering and signal coherency is computed based on four Stokes parameters of the received GNSS-R signals.
16 . The system of claim 11 , wherein the surface roughness can be computed by minimizing a semi-empirical model applied to received polarimetric GNSS-R data.
17 . The system of claim 11 , wherein the SM is computed by minimizing the difference between the ratio of polarimetric GNSS-R components and the ratio of Fresnel reflection coefficients modeled using a soil dielectric model.
18 . The system of claim 12 , wherein the FRI is computed by fitting the SMC, BF, and TC in a non-linear regression.
19 . The system of claim 11 , wherein a high spatial resolution SM map is obtained by solving the Tau-Omega model.
20 . A system for high-resolution moisture content detection and surface evaluation, the system comprising:
a set of one or more antennas;
a radiometer;
a reflectometer, wherein the reflectometer is a full polarimetric multi-band GNSS reflectometer that receives signals in the L1, L2, and L5 GPS bands, and E1 and E5 Galileo bands;
a set of one or more cameras;
a GNSS receiver;
a memory containing an evaluation application; and
a processor comprising a set of one or more processors, wherein the evaluation application configures the set of one or more processors to evaluate a surface underneath the system by performing the steps of:
obtaining a plurality of measurements using the radiometer, the reflectometer, and the set of one or more cameras;
obtaining a set of one or more observables based on the plurality of measurements at a high spatial resolution, wherein the set of observables comprises at least one observable selected from the group consisting of: soil moisture (SM), normalized difference vegetation index (NDVI), vegetation water content (VWC), surface roughness, volume scattering, reflectivity, signal coherency, and canopy temperature;
generating a set of one or more environmental products based on at least one observable from the set of one or more observables; and
displaying the set of one or more environmental products on a graphical user interface (GUI).
21 . A system for detecting moisture content of a surface, the system comprising:
a set of one or more antennas configured to receive GNSS-R signals reflected off of the surface;
a radiometer configured to measure emissions of the surface;
a reflectometer configured to process the received GNSS-R signals;
a set of one or more cameras configured to obtain infrared data of the surface; and
a GNSS receiver configured to position the system based on received GNSS signals.
22 . The system of claim 21 , wherein at least one of the measured emission, processed GNSS-R signals, infrared data, and the position is further processed by a separate processor.
23 . The system of claim 7 , wherein the set of one or more antennas are nadir-looking planar antenna arrays.
24 . The system of claim 23 , wherein the boresight maxima of the antennas covers reflections coming from incidence angles from 35° to 55°.