Extract raster values around point features with kernel

Question

I have a point layer of known landslide locations, and a raster layer (30m) of vegetation cover (categorical). My goal is to extract the prevailing raster value around the point locations.

Almost all landslides are located within 30m of a road which means that if I use the "extract value to point' tool, my out put would only correspond to the raster class "Developed-Roads". This is not helpful since I need to look at cells further away from the road in order to obtain "true" vegetation values like "Tree Cover >= 70 and < 80%", for instance. I can't create buffers around the point locations and run zonal statistics, because there is too much overlap.

When I researched this problem, I also came across the "focal statistics" tool, but I don't see how that is helpful. Even though the tool allows you to define various neighborhoods that would certainly be an advantage, it doesn't allow me to input a point feature and a raster layer at the same time.

Can I use focal statistics, if so how? If not, what other options are there?

Check out the picture to get a better idea of the problem:

Answer 1

How about this: Have you tried shifting your points away from the line (which I guess is the centre of the road) by a certain distance and then running the extract value to point tool?

Therefore I'd probably shift the line, then snap the points to it in order to get them off the road.

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As for the focal statistics tool, you could try using it with the "MAJORITY" statistics type and a big enough neighbourhood in order to completely get rid of the road. The tool looks at the defined neighbourhood of each cell in the raster and then calculates the desired statistics type. However, this will give you an average over the whole area (that is your defined neighbourhood) and not just the spatially closest cells to your points... For more information on the tool, check the following Focal Statistics Tool Help.

Let me know if this is pointing in the right direction.

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Edit 24th of February: Here's an example of how I'd run the focal statistics tool:

Note that you won't be able to run the tool for two rasters. If you want to reduce your output raster size, you might want to extract the surroundings of all points (i.e. using the buffer tool) and clip (data management) the raster to a smaller extent. In order not to get any ocean land cover as a result, you might be better off to reclassify your land cover raster first (set the ocean values to "No Data").

For your problem I'd try the "Annulus" search radius. This way you might be able to exclude some road cells from your result. Set the inner radius to one or two cells (these won't be used for calculations) and the outer radius to a wide enough radius. Everything inbetween will be used to find the majority cells.

Answer 2

I have a couple of ideas. In all cases, you will need to convert your point layer to a raster. In the first case below, you would convert the points to a raster, and in the second case, you would convert your triangles to a raster, identifying them as separate unique zones. Since you have overlapping areas, you may need to iterate your analysis.

1. If the triangle shape is not required, you could shift the points to the middle of the triangle and use the Spatial Analayst > Generalization Toolset > Majority Filter tool.
2. You could also convert the triangles to unique zones on a raster and use the Spatial Analyst > Zonal Toolset > Zonal Histogram tool. Since you have overlapping areas, you may need to iterate your analysis.