دورية أكاديمية

Vertical deformation analysis based on combined adjustment for GNSS and leveling data

التفاصيل البيبلوغرافية
العنوان: Vertical deformation analysis based on combined adjustment for GNSS and leveling data
المؤلفون: Jianliang Nie, Jie Tian, Xinwei Guo, Bin Wang, Xiaoyun Liu, Yaxuan Cheng, Pengtao Jiao
المصدر: Geodesy and Geodynamics, Vol 14, Iss 5, Pp 477-484 (2023)
بيانات النشر: KeAi Communications Co., Ltd., 2023.
سنة النشر: 2023
المجموعة: LCC:Geodesy
LCC:Geophysics. Cosmic physics
مصطلحات موضوعية: Vertical crustal movement, GNSS, Leveling, Robust adjustment, Data fusion, Geodesy, QB275-343, Geophysics. Cosmic physics, QC801-809
الوصف: A method is proposed to fuse the velocity data of the global navigation satellite system (GNSS) and leveling height via combined adjustment with constraints. First, stable GNSS–leveling points are uniformly selected, and the constraints of the geodetic height change velocity and normal height change velocity are given. Then, the GNSS vertical velocities and leveling height difference are used as observations of combined adjustment, and robust least-squares estimation are used to estimate the velocities of the unknown points. Finally, a vertical movement model is established with the GNSS vertical velocities and leveling vertical velocities obtained via combined adjustment. Data from the second-order leveling network and GNSS control points in Shandong Province are taken as test data, and eight calculation schemes are used for discussion. One of the schemes, the bifactor robust combined adjustment method based on variance component estimation with two kinds of vertical velocity constraints achieves the optimal results. The method applied in the scheme can be recommended for data fusion of GNSS and leveling, further improving the reliability of vertical crustal movement in Shandong Province.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1674-9847
Relation: http://www.sciencedirect.com/science/article/pii/S1674984723000320; https://doaj.org/toc/1674-9847
DOI: 10.1016/j.geog.2023.03.003
URL الوصول: https://doaj.org/article/b716544bfea44c4fbf00c66f01e94574
رقم الأكسشن: edsdoj.b716544bfea44c4fbf00c66f01e94574
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:16749847
DOI:10.1016/j.geog.2023.03.003