One of the most important and vital application, these days, is the management of water resources, which has been made easier using the remote sensing data and techniques.
In this project we put the potential of remote sensing models, the vast amount coarse / medium resolution data and fine resolution data to serve in the analysis of spatial and temporal patterns for water consumption and water storage in Egypt and Nile basin.
The Evapotranspiration (ET) modeling was very complicated and computational demanding. Therefore, a toolbox (ETool) was developed to automate the calculation of the ET through the Machine Learning (ML) algorithms.
a prototype for Ground Water monitoring GIS-Toolbox (GWGIST) was developed and It is an open-source toolbox for viewing, processing and analyzing the GRACE remotely sensed data.
The GWGIST provide the necessary knowledge base and analytical tools to support the management of the shared Nile Basin ground water resources on an equitable, efficient and sustainable manner.
Division : Data Reception, Analysis and Receiving Station Affairs