Grid computing remote sensing modeling international Grid projects
Institute of Information Theories and Applications FOI ITHEA
This paper focuses on the development of methods and cascade of models for flood monitoring and
forecasting and its implementation in Grid environment. The processing of satellite data for flood extent mapping
is done using neural networks. For flood forecasting we use cascade of models: regional numerical weather
prediction (NWP) model, hydrological model and hydraulic model. Implementation of developed methods and
models in the Grid infrastructure and related projects are discussed.