Results 21 to 30 of about 2,145,064 (260)

Comparison of tropospheric delay correction methods for InSAR analysis using a mesoscale meteorological model: a case study from Japan

Earth, Planets and Space, 2023
A major source of error in interferometric synthetic aperture radar (InSAR), used for mapping ground deformation, is the delay caused by changes in the propagation velocity of radar microwaves in the troposphere.
Sardila Nurulhikmah Sailellah, Yo Fukushima   +1 more
doaj   +2 more sources

InSAR bias and uncertainty due to the systematic and stochastic tropospheric delay [PDF]

Journal of Geophysical Research: Solid Earth, 2015
We quantify the bias and uncertainty of interferometric synthetic aperture radar (InSAR) displacement time series and their derivatives, the displacement velocities, by analyzing the systematic and stochastic components of the temporal variation of the ...
Amelung, Falk, Fattahi, Heresh
core   +3 more sources

An initial investigation of the non-isotropic feature of GNSS tropospheric delay

Satellite Navigation
Tropospheric delay is a significant error source in Global Navigation Satellite Systems (GNSS) positioning. Slant Path Delay (SPD) is commonly derived by multiplying Zenith Tropospheric Delay (ZTD) with a mapping function.
Ying Xu, Zaozao Yang, Hongzhan Zhou, Fangzhao Zhang   +3 more
doaj   +2 more sources

Evaluation of InSAR Tropospheric Delay Correction Methods in a Low-Latitude Alpine Canyon Region

Remote Sensing, 2023
Tropospheric delay error must be reduced during interferometric synthetic aperture radar (InSAR) measurement. Depending on different geographical environments, an appropriate correction method should be selected to improve the accuracy of InSAR ...
Yanxi Zhao, Xiaoqing Zuo, Yongfa Li, Shipeng Guo, Jinwei Bu, Qihang Yang   +5 more
doaj   +2 more sources

Empirical modeling of tropospheric delays with uncertainty [PDF]

Geoscientific Model Development
Accurate modeling of tropospheric delay is important for high-precision data analysis of space geodetic techniques, such as the Global Navigation Satellite System (GNSS).
J. Wang, J. Wang, J. Wang, J. Chen, J. Chen, J. Chen, Y. Zhang   +6 more
doaj   +3 more sources

Adaptive Fusion of Multi-Source Tropospheric Delay Estimates for InSAR Deformation Measurements

Frontiers in Environmental Science, 2022
Atmospheric propagation delay correction is the key to improving the accuracy of deformation measurement of satellite interferometric synthetic aperture radar (InSAR).
Li Zhang, Jie Dong, Lu Zhang, Yian Wang, Wei Tang, Mingsheng Liao   +5 more
doaj   +2 more sources

A New Global Tropospheric Delay Model Considering the Spatiotemporal Variation Characteristics of ZTD With Altitude Coefficient

Earth and Space Science, 2020
Tropospheric delay error is independent of the signal's frequency and has strong spatiotemporal variation. It is one of the most severe error sources of satellite navigation and spatial measurement. In view of the limitation of global zenith tropospheric
Peng Chen, Yongchao Ma, Hang Liu, Naiquan Zheng   +3 more
doaj   +2 more sources

Improvement and Comparison of Multi-Reference Station Regional Tropospheric Delay Modeling Method Considering the Effect of Height Difference

Atmosphere, 2022
Tropospheric delay information is particularly important for network RTK (Network Real-time Kinematic) positioning. Conventionally, tropospheric delay information at a virtual reference station (VRS) is obtained using the linear interpolation method (LIM)
Yifan Wang, Yakun Pu, Yunbin Yuan, Hongxing Zhang, Min Song   +4 more
doaj   +2 more sources

Mitigation of tropospheric delay induced errors in TS-InSAR ground deformation monitoring

International Journal of Digital Earth
Interferometric Synthetic Aperture Radar (InSAR) is capable of detecting crust deformation. However, the accuracy is limited by spatiotemporal changes in the lower troposphere.
Shipeng Guo, Xiaoqing Zuo, Wenhao Wu, Xu Yang, Jihong Zhang, Yongfa Li, Cheng Huang, Jingwei Bu, Shasha Zhu   +8 more
semanticscholar   +3 more sources

An optimized BP neural network for modeling zenith tropospheric delay in the Chinese mainland using coupled particle swarm and genetic algorithm

Geo-spatial Information Science
Tropospheric delay influences high-precision navigation positioning and precipitable water vapor retrieval with the Global Navigation Satellite System (GNSS).
Liangke Huang, Haohang Bi, Hongxing Zhang, Shitai Wang, Fasheng Liao, Lilong Liu, Weiping Jiang   +6 more
doaj   +2 more sources