I'm still working on my diploma thesis (must be one of the last ones in germany..;)) which deals with distance analysis. I want to model walking distances and cost paths affected by slope, vegetation, snow..
I'd like to know if there is a "norm" of how the Vegetation Continuous Fields (VCF) data/percentages can be interpreted, like a classification? I read of something like this in reference to the NDVI:
Very low values of NDVI (0.1 and below) correspond to barren areas of rock, sand, or snow. Moderate values represent shrub and grassland (0.2 to 0.3), while high values indicate temperate and tropical rainforests (0.6 to 0.8).
The thing is, i model a cost raster where walking time accumulates with the distance from a starting point (done with Toblers Hiking Function) and this should be affected by the VCF data, maybe with weightings. But i need some scientific data to do this classification, and the weighting (in the best case).
I'd appreciate every help concerning the VCF data and of course other ideas to improve this model
