The integration analysis of multi-type geospatial information poses challenges to existing spatiotemporal data organization models and based on deep learning. For earthquake early warning, this study proposes a novel intelligent grid model GeoSOT (SGMG-EEW) for feature fusion data. This includes seismic sample (SGSM) three-dimensional group convolution neural network (3DGCNN-SGM). SGSM solves t...

A multilingual disaster information system (MLDI) has been developed to overcome the language barrier during times of natural disaster. MLDI is a web-based system that includes templates in nine languages so that translated texts can be made available immediately. Mobile phone e-mail with graphic text is a useful tool for delivering multilingual disaster information. We assessed the performance...

The disease early warning system (DEWS) was introduced in the immediate aftermath of the 2005 earthquake in Pakistan, with the objective to undertake prompt investigation and mitigation of disease outbreaks. The DEWS network was replicated successfully during subsequent flood and earthquake disasters as well as during the 2008-09 internally displaced persons' crisis. DEWS-generated alerts, prom...

Surface Latent Heat Flux (SLHF) is an atmospheric parameter proportional to the evaporation from the Earth’s surface. SLHF has been found to exhibit an anomalous behavior in the epicentral region prior to several coastal earthquakes. Sub-ionospheric low frequency (LF) radio sounding measurements have shown its potentiality for the short-term earthquake forecasting since the last decade. The ano...

A new approach for Earthquake Early Warning Systems (EEWS) is presented that uses wireless, self-organising mesh sensor networks. To develop the prototype of such IT-infrastructures, we follow a model-driven system development paradigm. Structure and behaviour models of network topologies in specific geographic regions are coupled with wave signal analysing algorithms, alarming protocols, conve...