Determination of Istanbul geoid using GNSS/levelling and valley cross levelling data
Determination of Istanbul geoid using GNSS/levelling and valley cross levelling data作者机构:Geomatics EngineeringIstanbul Technical UniversityIstanbulTurkey School of Earth ScienceThe Ohio Stare UniversityColumbusOHUSA Institute of GeosciencesPotsdam UniversityPotsdamGermany Institute of MathematicsFreie UniversitātBerlinGermany
出 版 物:《Geodesy and Geodynamics》 (大地测量与地球动力学(英文版))
年 卷 期:2020年第11卷第3期
页 面:163-173页
学科分类:081802[工学-地球探测与信息技术] 0709[理学-地质学] 08[工学] 0707[理学-海洋科学] 0708[理学-地球物理学] 081105[工学-导航、制导与控制] 0818[工学-地质资源与地质工程] 0705[理学-地理学] 0815[工学-水利工程] 0804[工学-仪器科学与技术] 0825[工学-航空宇航科学与技术] 0704[理学-天文学] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术(可授工学、理学学位)]
基 金:the Fulbright Foundation supported by The Scientific and Technological Research Council of Turkey with the grant number115Y237
主 题:GNSS/Icvclling Geoid Valley cross levelling Soft computing techniques Interpolation techniques
摘 要:The Istanbul GPS Triangulation Network(IGTN) and the Istanbul Levelling Network(ILN),established in2006,provide data for the determination of a local GNSS/levelling geoid *** networks’ measurements were done separately on both the Asian and European sides of the Bosphorus Strait in the vicinity of *** connect these regions for those networks,a Valley Cross Levelling(VCL) data set,acquired in 1986 and 2004,was *** use of this VCL data set was challenging in calculating the Istanbul geoid model,primarily because of its *** this study,this challenge was overcome through newly collected VCL data in 2010,allowing for the readjustment of the ILN and the newly collected VCL data *** Istanbul geoid model was computed using soft computing techniques including the adaptive-network-based fuzzy inference system(ANFIS) and the artificial neural networks(ANNs).The resulting Istanbul GNSS/levelling geoid model is shown to be more reliable when compared with the model computed using conventional interpolation techniques.