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I have a model to summarize tree heights and density using LiDAR. It utilizes model parameters for inputs. I can't enable the Clip option to Input Features for Clipping Geometry because the output extent is derived from a parameter. How do I assign a default value to the model to enable the clip option while still having the model run from parameter inputs?

Model parameters

Model depiction

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In the Clip tool's documentation, it says

You also have the ability to use the selected features within the display as the clipping extent. If a feature within the feature class is selected and Use Input Features for Clipping Geometry is checked (clipping_geometry is set to ClippingGeometry), then the output clips out the areas that are selected. If a feature within the feature class is selected but Use Input Features for Clipping Geometry is not checked (set to NONE in Python), then the output clips out the minimum bounding rectangle for that feature.

Basically you need to make a selection on your feature layer to have this enabled. Try using Select Layer By Attribute tool just after Feature Layer. If you want to process all features in this layer, you can use something like OBJECTID>=0.

Additionally, if you clip your DEM by creating this selection just before the Minus, you can get a bit of performance increase. The best would be extracting your LAS file extents first and selecting only the ones intersecting with your Feature Layer, provided the conversion from LAS to Raster usually the heaviest process.

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