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GeoGateway is a web-enabled map-based system for analysis, modeling, and response of geodetic imaging products for studying earthquakes and crustal deformation. The system provides a data product search and analysis gateway for scientific discovery, field use, and disaster response. To be effective users require data overlay and visualization, interactive analysis features, and data product download...
In recent years, large number of Interferometric SAR applications in earthquake, cryosphere and tectonic geodesy show the great needs for ionospheric effect correction [1–4]. Several approaches, which mainly include the split spectrum InSAR technique, the Faraday rotation based method and the azimuth shift based method (the Multiple Aperture Interferometric and conventional azimuth shift) have been...
This paper presents results of the Sentinel-1 sensor in the interferometric wide-swath (IW) mode encompassing the first two years of operation of the mission. The paper focuses on persistent scatterer interferometric results and their validation. Further applications and investigations are also addressed, e.g., earthquakes, volcanoes and tomography.
It is still a challenge to obtain the collapsed building distribution from post-disaster polarimetric synthetic aperture radar (SAR) data. This paper proposed a novel approach for extracting the spatial distribution of collapsed buildings using post-disaster RADARSAT-2 SAR data. In this method, non-building areas are removed by using eigen-values λ2 + λ3. Then, the modified Freeman decomposition which...
Up to now, it is still difficult to obtain reliable precursors and to understand the detail and nature of earthquakes from traditional technique observations. Nowadays, the ionospheric total electron content (TEC) from ground-based global navigation satellite systems (GNSS) and space-borne GNSS Radio Occultation can be used to investigate the seismo-ionospheric disturbances, which may provide insights...
Remote sensing technology plays an important role in gathering information of social infrastructure damage which is crucial for relief and reconstruction work after strike. Comparatively speaking, radar sensors are capable of observing the ground irrespective of weather conditions or the time of the day, and therefore have been gaining prominence as a reliable tool for grasping the overall picture...
Rapidly obtaining building damage information after the earthquake is vitally important to earthquake rescue and decision making. In this paper, we propose a new framework of building collapse extraction by combining polarimetric information and azimuth time-frequency analysis. The proposed framework consists of two main steps, i.e. open area removal and intact building identification. In the first...
The earthquake disaster loss assessment is of great significance for the disaster recovery and reconstruction, the resettlement and the economic sustainable development. The Remote Sensing (RS) technique can help rapidly obtain the earthquake damage information. The paper proposes a methodology and procedure of building loss assessment based on the remote sensing and km grid-based building data, and...
Documenting liquefaction surface effects is necessary both to validate and to refine existing liquefaction models. Post-earthquake liquefaction data collection historically relies on field investigation and is often spatially limited and incomplete [4]. Areas that are not near centers of population or major transportation routes are often neglected. Pre- and post-earthquake satellite images enable...
The Linfen-Yuncheng Basin (LYB) is one of the most serious geo-hazards regions in China, which have been experiencing severe geo-tectonic movement, seismic, land subsidence and ground fissures. To monitor the complex surface deformation at LYB, Interferometric Synthetic Aperture Radar (InSAR) is employed. Forty-nine scenes acquired from three SAR tracks from 2007 to 2011 are used to obtain the ground...
Image segmentation as a main applying field in parallel computing with high performance, its time complexity and real-time requirements of algorithm needs to continue to improve computer hardware technology and parallel computing algorithm. Mean Shift algorithm is relatively classical in image segmentation fields, which needs no prior knowledge in the process and is an unsupervised segmentation process,...
In this study, we present coseismic and poseismic surface displacements caused by the 2015 MW 8.3 Illapel (Chile) earthquake with Sentinel-1A (S1A) and RADARSAT-2 (RS2) SAR imagery. The Central Chile, where the earthquake occurred, is a great place to apply InSAR techniques. All RS2 and S1A pairs have good coherence including one pair with a three-year long temporal baseline. However, topographically...
Taiyuan Basin is one of the regions with complex geological structure and frequent seismic activities in China. Because of groundwater exploitation and tectonic activity, land subsidence has occurred widely in this region. For disaster prevention and mitigation, obtaining ground deformation characteristics within the basin is an urgent requirement. The Interferometric Synthetic Aperture Radar (InSAR)...
The main purpose of the present study is to discuss the technique and method of fast and effective investigation of geological disasters using remote sensing, and quantitatively assessing the landslide based on two temporal DEMs, which were extracted by using high-resolution IKONOS stereo images after the landslide and contour map before the landslide. This paper takes Daguangbao landslide as research...
For some strong earthquakes, thermal anomaly occurs before the event, however not definitely. In this study, time series of MODIS Land Surface Temperature (LST) products have been processed and analyzed to locate possible anomalous variations prior to the Lushan (20 April 2013) earthquakes. In order to exclude the seasonal or annual effects from the LST variations, also to avoid the rainy and cloudy...
How to extract the landslides triggered by earthquakes rapidly and accurately is of great significance in current earthquake remote sensing application. Based on the earthquake emergency response, an automatic seismic landslide detection method is proposed in this paper. In the method, a simple and effective automatic thresholding algorithm is designed by using a single-temporal remote sensing image,...
China is one of the countries most seriously affected by natural disasters in the world. What's more important China is suffering many kinds of disasters which have wide range distribution, high frequency, regional strong seasonality, cause serious loss and present more complicated disaster. Disaster event management includes the whole process of disaster response. Integrated Disaster Reduction and...
Landslide susceptibility assessment is necessary for disaster management and safe planning in mountainous regions. In this paper, we have used rough set theory to select ten landslide-related factors (slope, aspect, elevation and so on) derived from maps of geology and remote sensing data, and produced landslide susceptibility map in Beichuan Country, Sichuan Province of China based on a model integrating...
This paper introduces a newly developed interferometric coherence model that can be used to preselect pairs of images for InSAR time-series processing. As coherence values are pre-calculated, automatic image selection can be performed at very little computational cost and computing resources can be dedicated to the few remaining selected interferograms. This can lead to significant throughput improvements...
Rapidly and accurately obtaining collapsed buildings information of the earthquake-stricken areas can help to effectively guide the implementation of the emergency rescue and can reduce disaster losses and casualties. This work is focused on rapid building earthquake damage information detection in urban areas using a single post-earthquake PolSAR data. In this paper, the methods of polarization orientation...
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