Benchmark Wageningen analysis: Difference between revisions

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[[File:wind_speedwageningen_2_augustus_2013_12_utc_hva.png|x300px]] [[File:wind_speed_wageningen_2_augustus_2013_12_utc_tygron.png|x300px]][[File:wind_legend.png]]
[[File:wind_speedwageningen_2_augustus_2013_12_utc_hva.png|x300px]] [[File:wind_speed_wageningen_2_augustus_2013_12_utc_tygron.png|x300px]][[File:wind_legend.png]]
The foliage input data might be a cause for these differences. See the next section for a possible explanation and possible improvements.


===Foliage input generation===
===Foliage input generation===

Revision as of 13:18, 27 September 2019

The Wageningen provided and Tygron generated PET overlays be seen below:

Pet 2013 12 utc herwijnen.png Pet 2 augustus 2013 12 utc tygron.pngPet legend.png

A few differences in the PET results can be explained by differences in input data:

  • Foliage height source.
  • Wind calculation for areas with a lot of foliage.
  • The spatial variation of vegetation, especially in gardens.
  • Slight Geometry data version, buildings, parking lots and water present / not present.

Foliage and the effect on wind

The calculated wind speed differs on areas with large amount of trees, as you can see the images below (Tygron wind map is on the right):

Wind speedwageningen 2 augustus 2013 12 utc hva.png Wind speed wageningen 2 augustus 2013 12 utc tygron.pngWind legend.png

The foliage input data might be a cause for these differences. See the next section for a possible explanation and possible improvements.

Foliage input generation

The Wageningen PET Test Case contains a tree height polygon data source. Per polygon, the maximum height is stored and the polygon itself represents the crown of the tree. Unfortunately, this results in generally too much foliage height, since the decline of the trees towards the edges of the crown is not taken into account. Having generally more foliage height lead to more shade and more wind reduction than there actually should be.

Therefore, we decided to create a new tree height geotiff, using the tree height polygons as the location of the tree crowns. We manually created a foliage height geotiff by rasterizing the tree height polygons and overlaying this with both the surface and terrain heights. By subtracting these heights, one can obtain an approximated foliage height GeoTiff, as can be seen below.

Foliage heights wageningen.png

Foliage legend.png

Zoomed in on the foliage height in the east-south-east


The generated foliage geotiff may however result in more height variations among the trees, resulting in more frontal foliage surface than should be counted. More research has to be done to find out what effect this variation of foliage height on wind reduction.

Vegetation fraction spatial variation

The vegetation fraction in the PET Wageningen result has been calculated using the RGB and Infra-red imagery data. In the Tygron engine the vegetation fraction is determined by the buildings , their function and terrains in case no buildings are present.