IAHR, founded in 1935, is a worldwide independent member-based organisation of engineers and water specialists working in fields related to the hydro-environmental sciences and their practical application. Activities range from river and maritime hydraulics to water resources development and eco-hydraulics, through to ice engineering, hydroinformatics, and hydraulic machinery.
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You are here : eLibrary : IAHR World Congress Proceedings : 34th Congress - Brisbane (2011) : THEME 3: Water and Carbon: Climate Change Impact : An artificial neural network model for simulating streamflow using remote sensing data
An artificial neural network model for simulating streamflow using remote sensing data
Author : N. Gamage, R. Agrawal, V. Smakhtin and B.J.C.Perera
Streamflow data play a key role in water resources management; however these data are not often available. One of the alternatives then is to use the rainfall-runoff models, but in most cases the required inputs such as rainfall and evapotranspiration are not available to use these models. Freely available remote sensing data, which represent features of the above input variables, can be used to generate streamflow data as an alternative. This project uses daily Moderate Resolution Imaging Spectrometer (MODIS) data to generate daily streamflow for the Thomson catchment in Victoria in Australia through an Artificial Neural Network (ANN) model. Daily MODIS reflectance and radiance data were first converted to Normalized Difference Vegetation Index (NDVI) and cloud top temperature (CTT) respectively. Several ANN models with one hidden layer were then developed using combinations of present day NDVI and CTT variables, and several daily lags of these variables. Results showed that a seasonally stratified model with five inputs had given predictions comparable to observed streamflow. Five inputs were present day NDVI and CTT, and three past days of CTT
File Size : 1,178,805 bytes
File Type : Adobe Acrobat Document
Chapter : IAHR World Congress Proceedings
Category : 34th Congress - Brisbane (2011)
Article : THEME 3: Water and Carbon: Climate Change Impact
Date Published : 01/07/2011
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