Effect of error in the DEM on environmental variables for predictive vegetation modelling
Van Niel, Kimberley; Laffan, Shawn; Lees, Brian G
Description
Question: Predictive vegetation modelling relies on the use of environmental variables, which are usually derived from a base data set with some level of error, and this error is propagated to any subsequently derived environmental variables. The question for this study is: What is the level of error and uncertainty in environmental variables based on the error propagated from a Digital Elevation Model (DEM) and how does it vary for both direct and indirect variables? Location: Kioloa region,...[Show more]
Collections | ANU Research Publications |
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Date published: | 2004 |
Type: | Journal article |
URI: | http://hdl.handle.net/1885/82489 |
Source: | Journal of Vegetation Science |
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File | Description | Size | Format | Image |
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01_Van Niel_Effect_of_error_in_the_DEM_on_2004.pdf | 425.88 kB | Adobe PDF | Request a copy |
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