Benchmark Wageningen analysis: Difference between revisions

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<ul>
<ul>
<li style="display:inline-block">[[File:wind_speedwageningen_2_augustus_2013_12_utc_hva.png|300px|thumb|Wind speed August 2, 2013 12 UTC from the [[DPRA Heat stress report]]]]</li>
<li style="display:inline-block">[[File:wind_speedwageningen_2_augustus_2013_12_utc_hva.png|300px|thumb|Wind speed August 2, 2013 12 UTC]]</li>
<li style="display:inline-block">[[File:wind_speed_wageningen_2_augustus_2013_12_utc_tygron.png|300px|thumb|Wind speed August 2, 2013 12 UTC as calculated by the {{software}}]]</li>
<li style="display:inline-block">[[File:wind_speed_wageningen_2_augustus_2013_12_utc_tygron.png|300px|thumb|Wind speed August 2, 2013 12 UTC as calculated by the {{software}}]]</li>
<li style="display:inline-block">[[File:wind_legend.png]]</li>
<li style="display:inline-block">[[File:wind_legend.png]]</li>
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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.
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|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.  
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.  
 
<ul>
<li style="display:inline-block">[[File:foliage_heights_wageningen.png|x300px|thumb|left|Overview of the foliage height in Wageningen]]</li>
<li style="display:inline-block">[[File:foliage_heights_wageningen_zoomed.png|x300px|thumb|center|Zoomed in on the foliage height in Wageningen, east-south-east corner of the overview]]</li>
<li style="display:inline-block">[[File:foliage_legend.png]]</li>
</ul>


[[File:foliage_heights_wageningen_zoomed.png|right|x300px|thumb|Zoomed in on the foliage height in the east-south-east]][[File:foliage_heights_wageningen.png|x300px]][[File:foliage_legend.png]]
<br style="clear:both;">
<br style="clear:both;">
The generated foliage geotiff may however result in more height variations among the trees, resulting in more [[Wind_calculation_model_(Heat_Overlay)|frontal foliage surface]] than should be counted.
The generated foliage GeoTIFF may however result in more height variations among the trees, resulting in more [[Wind_calculation_model_(Heat_Overlay)|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.
More research has to be done to find out what effect this variation of foliage height on wind reduction.


==Vegetation fraction spatial variation==
==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 [[Construction|buildings]] , their [[Function|function]] and [[Terrain|terrains]] in case no buildings are present.
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 [[building]]s , their [[Function|function]] and [[Terrain|terrains]] in case no buildings are present.


==See also==
==See also==

Latest revision as of 15:20, 7 October 2022

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

  • PET daytime map for August 2, 2013 12 UTC with the meteorology of the reference station Herwijnen from the DPRA Heat stress report
  • PET daytime map for August 2, 2013 12 UTC with the weather data from the reference station Herwijnen as calculated by the Tygron Platform
  • Pet 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 speed August 2, 2013 12 UTC
  • Wind speed August 2, 2013 12 UTC as calculated by the Tygron Platform
  • 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

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.

  • Overview of the foliage height in Wageningen
  • Zoomed in on the foliage height in Wageningen, east-south-east corner of the overview
  • Foliage legend.png


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.

See also