利用 Python 3 和 QGIS 3 对全球导航卫星系统观测数据进行形变分析和可视化

A. Manevich, R. Shevchuk, I. Losev, V. Kaftan, D. Urmanov, A.I. Shakirov
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引用次数: 0

摘要

作者介绍了在 Python 3 环境中为全球导航卫星系统形变测量上影分析设计的库的开发成果,以及在 QGIS 3 地理信息系统中对其进行可视化的情况。全球导航卫星系统的发展(永久性网络、数据出版、卫星测量结果处理软件的创建)导致现代地壳运动研究领域的研究数量增加。形变分析是探索现代地壳和地表运动的关键组成部分。尽管有大量商业软件和免费发布的软件来实现这一目标,但将计算结果集成到免费发布的地理信息系统环境中的问题仍然存在。所介绍的 PyGeoStrain 库包括一些相应的子程序集、用于可视化变形参数的 QGIS 3 样式、原始测试数据以及高加索地区示例的控制 GIS 项目。对于形变分析,PyGeoStrain 使用经典的大地测量方法来确定形变张量的分量。由于 PyGeoStrain 的源代码开放,使用 PyGeoStrain 完全可以替代模拟程序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Deformation analysis and visualization from GNSS observations in Python 3 and QGIS 3
The authors present the results of developing a library designed for GNSS deformation measurement upshot analysis in the Python 3 environment and their visualization in the QGIS 3 geographic information system. Development of global navigation satellite systems (permanent networks, data publications, creation of software for processing satellite measurement results) has led to increase in the number of researches in the field of studying modern crustal movements. Deformation analysis is a key component in exploring modern crustal and earth’s surface movements. Despite the large number of commercial and freely distributed software for the declared goal, the problem of integrating calculation results into the environment of freely distributed geoinformation systems is still relevant. The presented PyGeoStrain library includes some sets of corresponding subprograms, created QGIS 3 styles for visualizing deformation parameters, original test data, and a control GIS project for the example territory of the Caucasus. For deformation analysis, PyGeoStrain uses the classical geodetic approach to determining the components of the deformation tensor. The use of PyGeoStrain is an adequate replacement for analogue programs due to open access to the source
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