Skip navigation
Skip navigation

Can dynamic vegetation information improve the accuracy of Budyko's hydrological model?

Donohue, Randall; Roderick, Michael; McVicar, Tim R


This study examines whether the incorporation of dynamic, remotely sensed vegetation information into Budyko's hydrological model can improve that model's accuracy, particularly at finer spatial and temporal scales. Using numerous variables derived from three primary time-series variables (precipitation, potential evaporation and remotely sensed estimates of vegetation cover), linear one-variable models are developed to explain the variability in stream flow predictions not already captured by...[Show more]

CollectionsANU Research Publications
Date published: 2010
Type: Journal article
Source: Journal of Hydrology
DOI: 10.1016/j.jhydrol.2010.06.025


File Description SizeFormat Image
01_Donohue_Can_dynamic_vegetation_2010.pdf1.27 MBAdobe PDF    Request a copy
02_Donohue_Can_dynamic_vegetation_2010.pdf1.11 MBAdobe PDF    Request a copy

Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  19 May 2020/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator