Qualitative and Quantitative Evaluation of the Sort Pre-selection Tool for Single Beam and Multibeam Data
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Abstract
The Hydrographic Surveys (HS) address the range of activities performed using background data and areas adjacent to oceans, lakes, rivers, ports and other bodies of water. All the selected data from the probes are used for bathymetric surface modeling, which in turn allows better management of water resources. The present study studies the potentiality of the Sort tool for single-beam and multi-beam data preselection, varying the search radius in the selection of the lowest depth. Subsequently, quantitative analyzes were performed using different software and qualitative, through digital models, on the effect caused with the growth of the research radius adopted for a pre-selection. Thus, it is evident that the increase in radius increases the effect for both single-beam and multi-beam data, varying the area and volume of local areas in a noticeable manner, thus demonstrating the importance of checking the size before using the pre-selection of the data.
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