Pixel tracking to estimate riverswater flow elevation using cosmo-skymed synthetic aperture radar data

Biondi, Filippo and Tarpanelli, Angelica and Addabbo, Pia and Clemente, Carmine and Orlando, Danilo (2019) Pixel tracking to estimate riverswater flow elevation using cosmo-skymed synthetic aperture radar data. Remote Sensing, 11 (21). 2574. ISSN 2072-4292

[thumbnail of Biondi-etal-RS-2019-Pixel-tracking-to-estimate-riverswater-flow-elevation]
Preview
 Text (Biondi-etal-RS-2019-Pixel-tracking-to-estimate-riverswater-flow-elevation)
Biondi_etal_RS_2019_Pixel_tracking_to_estimate_riverswater_flow_elevation.pdf
Final Published Version
License: Creative Commons Attribution 4.0 logo
Download (84MB)| Preview

    Abstract

    The lack of availability of historical and reliable river water level information is an issue that can be overcome through the exploitation of modern satellite remote sensing systems. This research has the objective of contributing in solving the information-gap problem of river flow monitoring through a synthetic aperture radar (SAR) signal processing technique that has the capability to perform water flow elevation estimation. This paper proposes the application of a new method for the design of a robust procedure to track over the time double-bounce reflections from bridges crossing rivers to measure the gap space existing between the river surface and bridges. Specifically, the difference in position between the single and double bounce is suitably measured over the time. Simulated and satellite temporal series of SAR data from COSMO-SkyMed data are compared to the ground measurements recorded for three gauges sites over the Po and Tiber Rivers, Italy. The obtained performance indices confirm the effectiveness of the method in the estimation of water level also in narrow or ungauged rivers.

    ORCID iDs

    Biondi, Filippo, Tarpanelli, Angelica, Addabbo, Pia, Clemente, Carmine ORCID logoORCID: https://orcid.org/0000-0002-6665-693X and Orlando, Danilo;
    CORE (COnnecting REpositories)