A5101656253- Synthetic Aperture Radar (SAR) Applications and Techniques
- Cryospheric studies and observations
- Landslides and related hazards
- CO2 Sequestration and Geologic Interactions
- Reservoir Engineering and Simulation Methods
- Advanced SAR Imaging Techniques
- Hydraulic Fracturing and Reservoir Analysis
- Soil Moisture and Remote Sensing
- Climate change and permafrost
- Remote Sensing in Agriculture
- earthquake and tectonic studies
- Geological Modeling and Analysis
- Arctic and Antarctic ice dynamics
- Hydrocarbon exploration and reservoir analysis
- Rock Mechanics and Modeling
- Remote Sensing and Land Use
- Enhanced Oil Recovery Techniques
- Remote Sensing and LiDAR Applications
- Geophysical Methods and Applications
- Drilling and Well Engineering
- Winter Sports Injuries and Performance
- Atmospheric and Environmental Gas Dynamics
- Geophysics and Gravity Measurements
- Methane Hydrates and Related Phenomena
- Carbon Dioxide Capture Technologies
Southwest Jiaotong University
2016-2025
National Energy Technology Laboratory
2021-2025
Government of the United States of America
2022-2025
Changchun University of Science and Technology
2023
University of Technology Sydney
2022
State Key Laboratory of Remote Sensing Science
2022
University of Chinese Academy of Sciences
2022
Beijing Normal University
2022
Chinese Academy of Sciences
2022
Aerospace Information Research Institute
2022
The Daguangbao mega-landslide (China), induced by the 2008 Wenchuan earthquake (Mw = 7.9), with an area of approximately 8 km2, is one largest landslides in world. Experts predicted that potential risk and instability landslide might remain for many decades, or even longer. Monitoring activity such a large hence critical. Terrain Observation Progressive Scans (TOPS) mode from Sentinel-1 satellite provides us up-to-date high-quality Synthetic Aperture Radar (SAR) images over wide ground...
The soft computing models used for predicting land surface temperature (LST) changes are very useful to evaluate and forecast the rapidly changing climate of world. In this study, four techniques, namely, multivariate adaptive regression splines (MARS), wavelet neural network (WNN), neurofuzzy inference system (ANFIS), dynamic evolving (DENFIS), applied compared find best model that can be predict LST Beijing area. topographic change is considered in study accurately LST; furthermore,...
Abstract. Rock glaciers are widespread in the Tien Shan. However, rock Chinese part of Shan have not been systematically investigated for more than 2 decades. In this study, we propose a new method that combines SAR interferometry and optical images from Google Earth to map active (ARGs) northern (NTS) China. We compiled an inventory includes 261 ARGs quantitative information about their locations, geomorphic parameters, downslope velocities. Our shows most moraine-derived (69 %) facing...
This paper presents a novel method for extracting the land vertical displacement rates (VDRs) in Shanghai (China) using multi-platform SAR images collected between 2009 and 2010, i.e., ascending/descending COSMO-SkyMed (CSK) X-band descending TerraSAR (TSX) images. Different from conventional approach proposed estimates VDRs by multi-temporal interferometric processing (i.e., temporarily coherent point InSAR, TCPInSAR) localized least square (LS) solution, through which horizontal (HDRs) can...
Free and open access to the earth observation synthetic aperture radar (SAR) satellite images has enabled implementation of landslide time-series monitoring. However, with restriction low revisit period satellite, it is difficult meet requirements dynamic monitoring high temporal resolution. Moreover, multiplication SAR platforms, a corresponding data integration algorithm needed obtain complementary displacement information from every single orbit. In this work, an integrated for...
Being built on the reclamation area, Shanghai Pudong International Airport (SPIA) has been undergoing uneven subsidence since beginning of its operation in 1999. In order to explore evolution characteristics ground deformation SPIA area and further provide assurance for airport’s safe operation, 141 Sentinel-1A images from October 2016 September 2021 were selected acquire time-series observations by StaMPS PSI processing procedure. We subsequently a prediction model using Long Short Term...
Ground subsidence is a major concern for land use planning and engineering risk assessment. This paper explores detection by the persistent scatterer (PS) interferometric synthetic aperture radar (InSAR) technique using multitemporal high resolution spaceborne SAR images. We first describe mathematical models data reduction procedures of PS solution. The experiments are then carried out over Jinghai County in Tianjin (China) which has been sinking due to overuse groundwater. time series...
Interferograms with short wavelength (e.g., X-band) are usually prone to temporal decorrelation in permafrost regions, leading the unavailability of sufficient high-coherence interferograms for performing conventional time series InSAR analysis. This paper proposes utilization temporary scatterers stacking method, thus enabling extraction subsidence a region limited SAR images and interferograms. Such method is termed as (TSS-InSAR). Taking Gonghe-Yushu highway (about 30 km), part G214...
Sitting posture is closely related to our health. Poor sitting can cause various diseases and harm physical Current methods detect include machine vision, wearable sensors, pressure sensors. However, these have problems with respect privacy, inconvenience, cost. In this work, we proposed the use of frequency-modulated continuous wave radar (FMCW) for detecting human posture, which employs wireless signal transmission enable non-contact detection, protect reduce costs. First, range fast...
Carbon capture and storage (CCS) technology is critical for mitigating climate change but requires effective subsurface reservoir management to ensure safe containment of injected CO2. Accurate predictions pressure saturation are essential assessing long-term CCS performance. Traditional numerical simulations, while effective, computationally intensive, time-consuming, constrained by data discretization. Previous work has shown the effectiveness MeshGraphNets (MGN), a graph-based machine...
Carbon capture and storage (CCS) is a way to play critical role in the global transition low-emission economy. Current progress hampered by number of factors, among which lack risk-informed design tools decision support frameworks seen as major roadblock. Significant interest exists using artificial intelligence accelerate CCS site feasibility studies, well facilitate permit application process. Existing works commonly train single deep learning model. This work investigates conventional...