New answers tagged hydrology
When converting a LiDAR dataset to a DEM, you are taking a set of discrete data points and converting them into a single, continuous dataset. Let's say that your .las file contains X (latitude), Y (longitude) and Z (elevation) values with an average resolution of ~1 meters. The resolution here is really important- we're only talking about an average and so ...
If you only have to do this once, you might want to consider downloading the 30-day evaluation of MARS, by Merrick & Company. The full software suite is quite expensive ($11995), but I think with the evaluation software, you could use an already existing water body dataset to enforce a constant elevation around the polygons.
If you have QGIS 2.0, you will find these tools in the processing toolbox. If you cannot see the toolbox, then you can activate it under: View--> Panels --> Toolbox go to the bottom and change from simplified interface to advanced interface. You should now be able to see the Grass and Saga tools.
whuber has it right. First, get the euclidean allocation. Second, use the minus operation to get the difference between the two. Can be easily done in python.
I know the Centre for Ecology & Hydrology (CEH) do quite a bit on this for the UK. Check their website here: www.CEH.ac.uk and more specifically have a browse around here: http://www.ceh.ac.uk/feh2/fehrefh.html etc...
Russian hydrometeorological service prefers to use snow-runoff models (as the most of the russian rivers receive huge amounts of water during the spring snow melting). But I am sure that for several regions the models you are talking about are implemented too. A lot of them is are only for the inner usage; no info has been published overseas. For instance: ...
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