This project aims to develop an electronic system that enables experts to conduct automatic and rapid advanced studies on geodetic surveys by analyzing InSAR satellite images using special software and algorithms. The project provides simple tools via web services for a smooth and effective analysis of satellite images and data, whether they were stored outputs in the archive or urgent data requested by competent entities. The detection is done with such high accuracy which allows the determination of the crust’s sliding accompanying earthquakes, volcanoes, and floods. The analysis can also help in the detection of how these slides are distributed, which helps in determining areas damaged by natural disasters and evaluating the extent of the damage with great accuracy. This, therefore, hinders the benefit from the results of the analysis when it comes to supporting the urgent decisions commissions and individuals have to make upon a natural disaster, such as floods, earthquakes, and landslides. Moreover, the use of traditional methods usually requires knowledge, experience, and long-time investment to conduct the analysis.
The project aims to develop a system and a software that can analyze satellite images. Then process the data through mathematical equations and analytical algorithms to produce scientific products that enables experts to understand the reasons that led to surface subsidence. This meets the needs of scientists and technicians for a modern output that enables them to support competent entities in making the right decision when natural disasters happen, as well as estimating damages and post crisis rehabilitation.