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Open source tools for coastal dynamics monitoring
Author(s): Alexey Noskov
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Paper Abstract

Coastal dynamics monitoring is an actual topic today. Hundreds of solutions are available. Advanced technologies (e.g., automatic terrestrial laser scanning) are applied for developed areas. At the same time, old-school approaches are still applicable, especially for distant coastal zones. More accessible methods including the use of total stations (instead of LIDAR scanners) or even regular theodolites and meteorological data based approaches for coastal dynamics modeling remains popular in research of distant Arctic areas. In this works, Open Source tools implemented for such research activities are described. The first tool implements Popov-Sovershaev wave-wind energy calculation method. The second tool was designed for calculation, integration and visualization of shoreline profiles usually measured by a total station. The tool supports polar and Cartesian coordinate systems. Points can be projected onto either trend line or user defined line. The tool enables to compare different profiles and illustrate dynamics of coastal segments. The mentioned tools are integrated by an extendable application framework. Currently, it supports the two mentioned main tools and several service tools including programming console, map viewer and SQLite database management widget. Tools are integrated by the Tcl/Tk programming language allowing users to deploy light weight extremely portable application with graphic user interface. Two more tools suitable to smaller scale research will be available soon. First, a tool for multi-tempotal aerospace imagery visualization/interpretation is developed. Second, a tool for bathymetry data interpolation and visualization is developed to help researchers converting scanned bathymetric charts to elevation models.

Paper Details

Date Published: 6 August 2018
PDF: 7 pages
Proc. SPIE 10773, Sixth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2018), 107731C (6 August 2018); doi: 10.1117/12.2326277
Show Author Affiliations
Alexey Noskov, Heidelberg Univ. (Germany)


Published in SPIE Proceedings Vol. 10773:
Sixth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2018)
Kyriacos Themistocleous; Giorgos Papadavid; Silas Michaelides; Vincent Ambrosia; Diofantos G. Hadjimitsis, Editor(s)

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