Print Email Facebook Twitter Assessing the Performance of the Phase Difference Bathymetric Sonar Depth Uncertainty Prediction Model Title Assessing the Performance of the Phase Difference Bathymetric Sonar Depth Uncertainty Prediction Model Author Mohammadloo, Tannaz H. (TU Delft Aircraft Noise and Climate Effects) Geen, Matt (ITER) Sewada, Jitendra S. (ITER) Snellen, M. (TU Delft Aircraft Noise and Climate Effects) Simons, D.G. (TU Delft Aircraft Noise and Climate Effects) Date 2022 Abstract Realistic predictions of the contribution of the uncertainty sources affecting the quality of the bathymetric measurements prior to a survey is of importance. To this end, models predicting these contributions have been developed. The objective of the present paper is to assess the performance of the bathymetric uncertainty prediction model for Phase Difference Bathymetric Sonars (PDBS) which is an interferometric sonar. Two data sets were acquired with the Bathyswath-2 system with a frequency of 234 kHz at average water depths of around 26 m and 8 m with pulse lengths equal to 0.0555 ms and 0.1581 ms, respectively. The comparison between the bathymetric uncertainties derived from the measurements and those predicted using the current model indicates a relatively good agreement except for the across-track distances close to the nadir. The performance of the prediction model can be improved by modifying the term addressing the effect of footprint shift, i.e., spatial decorrelation, on the bottom due to fact that at a given time the footprints seen by different receiving arrays are slightly different Subject predicted bathymetric uncertaintybaseline decorrelationspatial decorrelationadditive noise contributionmeasured bathymetric uncertaintyPhase Difference Bathymetric Sonars To reference this document use: http://resolver.tudelft.nl/uuid:f9cd292f-aa34-497a-868a-3488c66006d5 DOI https://doi.org/10.3390/rs14092011 ISSN 2072-4292 Source Remote Sensing, 14 (9) Part of collection Institutional Repository Document type journal article Rights © 2022 Tannaz H. Mohammadloo, Matt Geen, Jitendra S. Sewada, M. Snellen, D.G. Simons Files PDF remotesensing_14_02011.pdf 3.79 MB Close viewer /islandora/object/uuid:f9cd292f-aa34-497a-868a-3488c66006d5/datastream/OBJ/view