Yunmeng Cao

Yunmeng Cao
GNS Science · Earth Structure and Processes

PhD

About

25
Publications
6,740
Reads
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142
Citations
Citations since 2016
23 Research Items
141 Citations
20162017201820192020202120220102030405060
20162017201820192020202120220102030405060
20162017201820192020202120220102030405060
20162017201820192020202120220102030405060

Publications

Publications (25)
Article
Full-text available
A long-strip differential interferometric synthetic aperture radar (DInSAR) measurement based on multi-frame image mosaicking is currently the realizable approach to measure large-scale ground deformation. As the spatial range of the mosaicked images increases, the nonlinear variation of ground ocean tidal loading (OTL) displacements is more signif...
Article
Synthetic Aperture Radar (SAR) interferometry is one of the most powerful remote sensing tools for ground deformation detection. However, tropospheric delay greatly limits the measurement accuracy of the InSAR technique. While vertically stratified tropospheric delays have been extensively investigated and well tackled, turbulent tropospheric phase...
Article
Full-text available
Plain Language Summary Measurements of interseismic deformation near plate‐boundary faults are used to estimate how large and how often major earthquakes are likely to occur and thus provide crucial input for regional seismic hazard assessments. Geodetic GPS data have primarily been used for this task, but increasingly Interferometric Synthetic Ape...
Article
Full-text available
Tropospheric delays are still the main error source of satellite‐based Interferometric Synthetic Aperture Radar (InSAR) mapping of Earth’s surface movements. Recent studies have demonstrated the potential of global atmospheric models (GAMs) in reducing InSAR tropospheric delays. However, the importance of appropriate interpolation and weighting str...
Article
Full-text available
Previous research has demonstrated several successful meteorological applications of interferometric synthetic aperture radar (InSAR) by mapping high‐resolution precipitable water vapor (PWV) over large areas with satisfactory precision (e.g., 1–2 mm). InSAR, however, can only measure temporal changes in the PWV, that is, the differential PWV (ΔPWV...
Article
Full-text available
Time series of ground subsidence can not only be used to describe motion produced by various anthropocentric and natural process but also to better understand the processes and mechanisms of geohazards and to formulate effective protective measures. For high-accuracy measurement of small baseline subset interferometric synthetic aperture radar (SBA...
Article
Full-text available
The spatial-temporal baseline threshold method is commonly used to select interferograms for the Small BAseline Subset interferometric synthetic aperture radar (SBAS-InSAR) technique. However, this selection strategy is rather empirical and prone to including highly contaminated interferograms or excluding those with high quality. To overcome these...
Article
Full-text available
The coastal crustal deformation caused by ocean tidal loading (OTL) varies spatially and temporally, and this spatiotemporal variation in satellite-based interferometric synthetic aperture radar (InSAR) measurements needs to be determined. In this paper, we propose a spatiotemporal modeling method to estimate the OTL displacements in InSAR measurem...
Conference Paper
At 14:11 NZDT (01:11 UTC) on 9 December 2019, an explosive eruption (VEI=2) occurred on White/Whakaari Island in New Zealand’s northeast Bay of Plenty. The sudden eruption claimed 20 lives among the 47 tourists who were on the island at the time of the eruption. Several volcano- tectonic features overlap in the island such as a major caldera rim co...
Conference Paper
Full-text available
Magmatic intrusions often produce ground deformation that can be studied by geodetic techniques. In the past two decades, many volcanic dike and sill emplacements (sometimes associated to eruptions) in different tectonic settings have been analyzed through InSAR. However, in only a few cases, the post-intrusive behavior has been studied. Here we an...
Article
Water vapor is the most variable constituent in the atmosphere and plays an important role in climate studies, mesoscale meteorology modeling and numerical weather forecasting. Being able to penetrate clouds, interferometric synthetic aperture radar (InSAR) shows great potential in atmospheric water vapor mapping. But InSAR can only measure differe...
Article
Full-text available
The spatiotemporal crustal non-tectonic deformation caused by ocean tidal loading (OTL) can reach the centimeters scale in coastal land areas. The temporal variation of the site OTL displacements can be estimated by the global positioning system (GPS) technique, but its spatial variation needs to be further determined. In this paper, in order to an...
Article
Full-text available
Tropospheric delay is one of the dominant error sources of interferometric synthetic aperture radar when measuring ground displacement. Although many methods have been presented for the correction of tropospheric effects, a large portion of them (such as the numerical weather models and the topography-correlated analysis methods) can only be used t...
Article
Spatial heterogeneity in the atmospheric refractive index causes variations in spaceborne interferometric synthetic aperture radar (InSAR) observations. The neutral atmospheric delay (i.e., the tropospheric delay) on one hand, can introduce large errors in the InSAR-derived displacements associated with earthquakes, volcanic activity, glacier motio...
Conference Paper
The Quito area is an active seismic and volcanic province, which lies at 2800m elevation within the Inter-Andean Depression (ID) in northern Ecuador. Spatiotemporal ground surface deformations over Quito region are systematically surveyed from InSAR analysis by using time series TerraSAR-X (2011 to 2017) data sets. Stochastic property of atmospheri...
Poster
Full-text available
The variances of atmospheric delay in each SAR images can be estimated even though we do not know the true value of the delays, and the stochastic model of time series InSAR observations are figured out, which is important for a reasonable estimation and evaluation of the interested parameters. We do not consider the other possible errors in our st...
Article
Full-text available
Despite the many applications of time series interferometric synthetic aperture radar (TS-InSAR) techniques in geophysical problems, error analysis and assessment have been largely overlooked. Tropospheric propagation error is still the dominant error source of InSAR observations. However, the spatiotemporal variation of atmospheric effects is seld...
Article
Full-text available
Ocean tide loading (OTL) causes crustal displacements in coastal regions, and the relative variation of these ground displacements may reach several centimeters across differential interferometric synthetic aperture radar (DInSAR) interferograms. However, orbit errors seriously affect the analysis of long-wavelength crustal deformation signals such...
Article
Full-text available
Spatial statistics of atmospheric effects in InSAR measurements are of great importance for understanding and mitigating the effects, which provide reliable tools to assess the InSAR data quality and the derived parameters (e.g., elevations and deformations). Besides, a comprehensive cognition of the spatial statistics of atmospheric effects could...
Article
Full-text available
Geometric anisotropy is commonly assumed in the investigation of the spatial variations of geophysical parameters. However, this assumption is not always satisfied in practice. We propose a novel method to determine the anisotropy of geophysical parameters. In the proposed method, the variograms are first normalized in all directions. Then, the nor...

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Projects

Projects (3)
Project
Automatically detecting and analyzing deforming areas and types from spatio-temporal InSAR observations based on machine learning, with advanced error corrections (focus on troposphere correction).
Project
Continuously improving of the global atmospheric models makes GAM corrections most probably to be a routine way for InSAR troposphere correction (all-weather, almost all-time, and near real time). In this project, we aim to improving the present GAM-corrections for robustly correcting both long- and short- wavelengths of the troposphere.
Project
1) study the spatio-temporal properties of the atmospheric delays in InSAR; 2) modeling the spatio-temporal variation of the atmospheric delays; 3) mitigating the atmospheric delays for precisely ground deformation monitroing.