Daily streamflow estimation using remote sensing data

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Gamage, Nilantha (2015) Daily streamflow estimation using remote sensing data. PhD thesis, Victoria University.

Abstract

Streamflow data are critical for water resource investigations, and their development projects. However, the scarcity of such data, particularly measured streamflow through streamflow gauges, constitutes a serious impediment to the successful implementation of development projects. In the absence of such measured streamflow data, streamflow estimation using measured meteorological data represents a viable alternative. Nevertheless, this alternative is not always possible due to the unavailability of required meteorological data. In the face of such data limitations, many have advocated the use of remote sensing (RS) data to estimate streamflow. The aim of this study was to generate daily streamflow time series data using remote sensing data through catchment process modelling and statistical modelling.

Item type Thesis (PhD thesis)
URI https://vuir.vu.edu.au/id/eprint/34843
Subjects Historical > FOR Classification > 0502 Environmental Science and Management
Historical > FOR Classification > 0801 Artificial Intelligence and Image Processing
Current > Division/Research > College of Science and Engineering
Keywords river flows, water flows, river catchments, basins, catchment process modelling,simulations, water resources management, evapotranspiration, rainfall, land use, land cover, sensors, East Gippsland catchment, environmental monitoring, sustainability, Victoria
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