ОГЛЯД МЕТОДІВ АНАЛІЗУ ТА ВІЗУАЛІЗАЦІЇ ДИНАМІКИ БЕРЕГОВИХ ЛІНІЙ

The purpose of this paper is to systematize current methods for analysing and visualizing shoreline dynamics and to identify the main methodological gap between the analytical capacity of modern satellite-derived shoreline tools and the practical interpretability of their outputs for engineers, coastal managers, urban planners and decision-makers. Methodology. The study is based on a review and comparative analysis of scientific literature, open-source software tools and methodological approaches used for shoreline extraction, change-rate calculation and spatio-temporal visualization. The review covers the historical transition from field measurements and manual aerial-photo interpretation to Landsat and Sentinel time series, SAR-based algorithms and visual analytics techniques. Results. The article summarizes the main groups of methods: index- and threshold-based approaches, edge-detection methods, object-based image analysis, classical machine learning, classify-then-refine subpixel methods, deep-learning semantic segmentation, cloud-scale composite SDS workflows, SAR-oriented techniques, transect-based statistical analysis and spatio-temporal visualization methods. The results show that current tools are already effective for shoreline extraction and the calculation of standard change metrics, but the outputs often remain fragmented between maps, tables, graphs, transects, quality-control indicators and time series. Scientific novelty. The paper proposes to consider visualization not as a secondary presentation stage, but as an independent methodological component of shoreline-dynamics analysis systems that supports the interpretation of complex spatio-temporal patterns. Practical significance. The findings can be used to define requirements for interactive web platforms and dashboard-based decision-support systems that combine shoreline maps, Hovmöller diagrams, uncertainty indicators and concise management-oriented summaries for coastal monitoring and planning

Authors

Institutions

Publication Details

Journal
The Scientific Issues of Ternopil Volodymyr Hnatiuk National Pedagogical University Series pedagogy
Published
2026-09-01
Primary Topic
Aquatic and Environmental Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

ОГЛЯД МЕТОДІВ АНАЛІЗУ ТА ВІЗУАЛІЗАЦІЇ ДИНАМІКИ БЕРЕГОВИХ ЛІНІЙ

Горковчук Юлія
The Scientific Issues of Ternopil Volodymyr Hnatiuk National Pedagogical University Series pedagogy
Aquatic and Environmental Studies
article

ОГЛЯД МЕТОДІВ АНАЛІЗУ ТА ВІЗУАЛІЗАЦІЇ ДИНАМІКИ БЕРЕГОВИХ ЛІНІЙ

Горковчук Юлія
article en

Abstract

The purpose of this paper is to systematize current methods for analysing and visualizing shoreline dynamics and to identify the main methodological gap between the analytical capacity of modern satellite-derived shoreline tools and the practical interpretability of their outputs for engineers, coastal managers, urban planners and decision-makers. Methodology. The study is based on a review and comparative analysis of scientific literature, open-source software tools and methodological approaches used for shoreline extraction, change-rate calculation and spatio-temporal visualization. The review covers the historical transition from field measurements and manual aerial-photo interpretation to Landsat and Sentinel time series, SAR-based algorithms and visual analytics techniques. Results. The article summarizes the main groups of methods: index- and threshold-based approaches, edge-detection methods, object-based image analysis, classical machine learning, classify-then-refine subpixel methods, deep-learning semantic segmentation, cloud-scale composite SDS workflows, SAR-oriented techniques, transect-based statistical analysis and spatio-temporal visualization methods. The results show that current tools are already effective for shoreline extraction and the calculation of standard change metrics, but the outputs often remain fragmented between maps, tables, graphs, transects, quality-control indicators and time series. Scientific novelty. The paper proposes to consider visualization not as a secondary presentation stage, but as an independent methodological component of shoreline-dynamics analysis systems that supports the interpretation of complex spatio-temporal patterns. Practical significance. The findings can be used to define requirements for interactive web platforms and dashboard-based decision-support systems that combine shoreline maps, Hovmöller diagrams, uncertainty indicators and concise management-oriented summaries for coastal monitoring and planning

The Scientific Issues of Ternopil Volodymyr Hnatiuk National Pedagogical University Series pedagogy
Kyiv National University of Construction and Architecture (UA), Universitat Politècnica de València (ES)
Openalex Percentile: Top 24%
Aquatic and Environmental Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.