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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...
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...
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...
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...
The atmospheric aerosols are one of the uncertainties that significantly influence the study of energy balance at regional or global scale. However, few studies focus on the aerosols caused by earthquake induced damage of hazard-affected bodies. To study the influences of earthquakes on the loadings of atmospheric aerosols, the AErosol RObotic NETwork (AERONET) sites retrieved aerosol optical depth...
In this paper we proposed a metric learning-based method to extract collapsed buildings from post-earthquake PolSAR imagery. In this method, eight building and orientation related features, including entropy H, the average scattering angle α, anisotropy A, the circular polarization correlation coefficient ρ and the four scattering powers of Yamaguchi 4 component decomposition with a rotation of the...
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