Talk:Digital elevation model
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| − | ::'' | + | :: ''This section is meant solely for the discussion purposes. <br/> For a draft of the article, see [[#Article draft]]. |
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== Possible contents and links== | == Possible contents and links== | ||
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* [[Creating a DEM from vector data]] | * [[Creating a DEM from vector data]] | ||
* [[Evaluation of digital elevation models]] | * [[Evaluation of digital elevation models]] | ||
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| + | ::''DEM stands for Digital elevation model. It can be represented as a regular grid of points or as a [[Triangular irregular network]] of points. DEMs are the basis for digitally produced relief maps.'' | ||
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| + | Digital elevation models are sets of data representing the estimated height of a surface | ||
| + | above a certain level, i.e. a [[Geodetic datum]]. It may represent the [[Wikipedia:Elevation|elevation]] of the bare earth, | ||
| + | or include objects as buildings or tree canopies <ref name=Liu10> Liu, J. G. & Mason, P. Essential Image Processing and GIS for Remote Sensing. (John Wiley & Sons, 2010).</ref>. | ||
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| + | == DEMs in forestry == | ||
== References == | == References == | ||
Revision as of 16:52, 9 May 2013
Contents |
Article discussion
- This section is meant solely for the discussion purposes.
For a draft of the article, see #Article draft.
- This section is meant solely for the discussion purposes.
Possible contents and links
From Liu & Mason 2010 [1] DGM's are a subgroup of Surface models and can be obtained by
Related articles already existing in this wiki are:
Article draft
- DEM stands for Digital elevation model. It can be represented as a regular grid of points or as a Triangular irregular network of points. DEMs are the basis for digitally produced relief maps.
Digital elevation models are sets of data representing the estimated height of a surface above a certain level, i.e. a Geodetic datum. It may represent the elevation of the bare earth, or include objects as buildings or tree canopies [1].
DEMs in forestry
References
- ↑ 1.0 1.1 Liu, J. G. & Mason, P. Essential Image Processing and GIS for Remote Sensing. (John Wiley & Sons, 2010).
