Abstract:
This paper investigates using Spire’s grazing-angle GNSS-R data to detect the existence of surface water in the lower Mississippi region. The Signal-to-Noise Ratio (SNR) ...Show MoreMetadata
Abstract:
This paper investigates using Spire’s grazing-angle GNSS-R data to detect the existence of surface water in the lower Mississippi region. The Signal-to-Noise Ratio (SNR) of the reflected L2 GPS signals acquired using the Spire Global constellation are analyzed over several tracks covering the Mississippi river, along with Normalized Difference Vegetation Index (NDVI) from Sentinel-2 Multispectral Imager (MSI) and backscattering coefficients from Sentinel-1 Synthetic Aperture Radar (SAR) C-band acquisitions. The specular points are segregated on the basis of thresholds based on the GNSS data and associated remote sensing data with correctly classifying the points over water with a true positive rate between 55-70% for L2 SNR thresholds above noise floor.
Date of Conference: 16-21 July 2023
Date Added to IEEE Xplore: 20 October 2023
ISBN Information: