An artificial neural network model for simulating streamflow using remote sensing data

In International Association for Hydro-Environment Engineering and Research (IAHR); Engineers Australia (EA). National Committee on Water Engineering (NCWE). 34th IAHR World Congress, Balance and Uncertainty: Water in a Changing World, Brisbane, Australia, 26 June - 1 July 2011. Brisbane, Australia: International Association for Hydro-Environment Engineering and Research (IAHR); Brisbane, Australia: Engineers Australia (EA). National Committee on Water Engineering (NCWE).

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Bibliographic Details
Main Authors: Gamage, M.S.D.Nilantha, Agrawal, R., Smakhtin, Vladimir U., Perera, B. J. C.
Format: Conference Paper biblioteca
Language:English
Published: 2011
Subjects:remote sensing, stream flow, neural networks, rain, evapotranspiration, seasonal variation, models, catchment areas,
Online Access:https://hdl.handle.net/10568/38461
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Summary:In International Association for Hydro-Environment Engineering and Research (IAHR); Engineers Australia (EA). National Committee on Water Engineering (NCWE). 34th IAHR World Congress, Balance and Uncertainty: Water in a Changing World, Brisbane, Australia, 26 June - 1 July 2011. Brisbane, Australia: International Association for Hydro-Environment Engineering and Research (IAHR); Brisbane, Australia: Engineers Australia (EA). National Committee on Water Engineering (NCWE).