Robust GNSS and InSAR tomography of neutrospheric refractivity using a Compressive Sensing approach
نویسنده
چکیده
An accurate knowledge of the 3D distribution of water vapor in the atmosphere is a key element for weather forecasting and climate research. In addition, a precise determination of water vapor is also required for accurate positioning and deformation monitoring using Global Navigation Satellite Systems (GNSS) and Interferometric Synthetic Aperture Radar (InSAR). Several approaches for 3D tomographic water vapor reconstruction from GNSS-based Slant Wet Delay (SWD) estimates using the least squares (LSQ) adjustment exist. However, the tomographic system is in general ill-conditioned and its solution is unstable. Therefore, additional information or constraints need to be added in order to regularize the system.
منابع مشابه
Limited constraint, robust Kalman filtering for GNSS troposphere tomography
The mesoscale variability of water vapour (WV) in the troposphere is a highly complex phenomenon and modelling and monitoring the WV distribution is a very important but challenging task. Any observation technique that can reliably provide WV distribution is essential for both monitoring and predicting weather. The global navigation satellite system (GNSS) tomography technique is a powerful too...
متن کاملAn Improved Tomography Approach Based on Adaptive Smoothing and Ground Meteorological Observations
Using the Global Navigation Satellite System (GNSS) to sense three-dimensional water vapor (WV) has been intensively investigated. However, this technique still heavily relies on the a priori information. In this study, we propose an improved tomography approach based on adaptive Laplacian smoothing (ALS) and ground meteorological observations. By using the proposed approach, the troposphere to...
متن کاملGnss Tomography of the Atmosphere - Expectation from Galileo Foc
The aim of this paper is to investigate the impact of the upcoming Galileo system on GNSS tomography. The area covered by our tomography model is limited to the Austrian territory. The GPS and GLONASS data of 12 sites in different environments are analysed with respect to its quality and impact on the atmospheric tomography approach. We show how additional Galileo observations help to close the...
متن کاملMultibaseline polarimetric synthetic aperture radar tomography of forested areas using wavelet-based distribution compressive sensing
The three-dimensional (3-D) structure of forests, especially the vertical structure, is an important parameter of forest ecosystem modeling for monitoring ecological change. Synthetic aperture radar tomography (TomoSAR) provides scene reflectivity estimation of vegetation along elevation coordinates. Due to the advantages of super-resolution imaging and a small number of measurements, distribut...
متن کاملModelling above Ground Biomass in Tanzanian Miombo Woodlands Using TanDEM-X WorldDEM and Field Data
The use of Interferometric Synthetic Aperture Radar (InSAR) data has great potential for monitoring large scale forest above ground biomass (AGB) in the tropics due to the increased ability to retrieve 3D information even under cloud cover. To date; results in tropical forests have been inconsistent and further knowledge on the accuracy of models linking AGB and InSAR height data is crucial for...
متن کامل