S-LiNE: An open-source LiDAR toolbox for dune coasts shoreline mapping

IF 2.4 4区计算机科学 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING

SoftwareX Pub Date : 2025-07-10 DOI:10.1016/j.softx.2025.102261

Jakub Śledziowski , Andrzej Giza , Paweł Terefenko

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引用次数: 0

Abstract

This paper presents an open-source toolbox designed to streamline shoreline detection and analysis directly from Light Detection and Ranging (LiDAR) raw point clouds in LAS format. The application is based on Python scripts and supports LiDAR datasets from both unmanned aerial vehicles (UAV) and airborne laser scanning (ALS). It performs key processing steps including elevation correction using a geoid model (for UAV data), shoreline extraction based on point cloud characteristics (intensity, red-green-blue (RGB) values, scan angle – for UAV data, and classification – for ALS data), and statistical comparison of shoreline positions over time. The tool features a graphical user interface built with Streamlit, enabling users to operate it without any programming experience. By eliminating the need for raster generation and external classification, the tool significantly reduces processing time while ensuring reproducibility. Output files are saved in widely used formats compatible with Geographic Information System (GIS), including GeoJSON, SHP, and CSV. The toolbox addresses a key gap in coastal monitoring workflows, offering a scalable, user-friendly solution for researchers and practitioners working with high-resolution coastal data.

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S-LiNE：用于沙丘海岸海岸线测绘的开源激光雷达工具箱

本文提出了一个开源工具箱，旨在直接从LAS格式的光探测和测距（LiDAR）原始点云中简化海岸线探测和分析。该应用程序基于Python脚本，支持来自无人机（UAV）和机载激光扫描（ALS）的激光雷达数据集。它执行关键的处理步骤，包括使用大地水准面模型进行高程校正（用于无人机数据），基于点云特征(强度、红绿蓝（RGB）值、扫描角度（用于无人机数据）和分类（用于ALS数据）的海岸线提取，以及海岸线位置随时间的统计比较。该工具具有使用Streamlit构建的图形用户界面，使用户无需任何编程经验即可操作。通过消除光栅生成和外部分类的需要，该工具在确保再现性的同时显着减少了处理时间。输出文件保存格式为GeoJSON、SHP、CSV等与GIS （Geographic Information System）兼容的通用格式。该工具箱解决了沿海监测工作流程中的一个关键空白，为研究人员和从业人员提供了一个可扩展的、用户友好的解决方案，用于处理高分辨率沿海数据。

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来源期刊

SoftwareX COMPUTER SCIENCE, SOFTWARE ENGINEERING-

CiteScore

5.50

自引率

2.90%

发文量

184

审稿时长

9 weeks

期刊介绍： SoftwareX aims to acknowledge the impact of software on today''s research practice, and on new scientific discoveries in almost all research domains. SoftwareX also aims to stress the importance of the software developers who are, in part, responsible for this impact. To this end, SoftwareX aims to support publication of research software in such a way that: The software is given a stamp of scientific relevance, and provided with a peer-reviewed recognition of scientific impact; The software developers are given the credits they deserve; The software is citable, allowing traditional metrics of scientific excellence to apply; The academic career paths of software developers are supported rather than hindered; The software is publicly available for inspection, validation, and re-use. Above all, SoftwareX aims to inform researchers about software applications, tools and libraries with a (proven) potential to impact the process of scientific discovery in various domains. The journal is multidisciplinary and accepts submissions from within and across subject domains such as those represented within the broad thematic areas below: Mathematical and Physical Sciences; Environmental Sciences; Medical and Biological Sciences; Humanities, Arts and Social Sciences. Originating from these broad thematic areas, the journal also welcomes submissions of software that works in cross cutting thematic areas, such as citizen science, cybersecurity, digital economy, energy, global resource stewardship, health and wellbeing, etcetera. SoftwareX specifically aims to accept submissions representing domain-independent software that may impact more than one research domain.