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Dec 8, 2019 at 0:21 comment added JRR @bcresearcher Open a new question with images and reproducible code.
Dec 8, 2019 at 0:16 comment added Aaron @bcresearcher Just a guess, but try a different spatial interpolation function (i.e. other than tin()) in lasnormalize().
Dec 7, 2019 at 23:34 comment added bcresearcher @Aaron thanks a lot. My chm model has a lot of pits and I wanted to get rid of them. Therefore I used pit-free algorithm introduced by Khosravipour et al. (2014). The chm that I see now surrounded by triangular spahes. Is that an error? I could not get it.
Dec 7, 2019 at 23:24 comment added Aaron @bcresearcher Triangles?
Dec 7, 2019 at 23:22 comment added bcresearcher Thanks a lot for your answers. I used the pit-free algorithm and used chm = grid_canopy(filtered, res=0.5, pitfree(c(0,2,5,10,15), c(0, 1.5))) at the final step. But I have too much triangles on my chm model now :(
Dec 7, 2019 at 23:19 history edited Aaron CC BY-SA 4.0
added 1 character in body
Dec 7, 2019 at 23:11 comment added Aaron Thanks @JRR, I have edited the answer based on your comment.
Dec 7, 2019 at 23:10 history edited Aaron CC BY-SA 4.0
Fixed answer base on comments
Dec 7, 2019 at 22:39 comment added JRR I do not necessarily agree with you. If you remove point below 2 you will have empty areas in your CHM for canopy gaps instead of zeros or values close to 0. Worst with a tin-based method you could fill the gap with irrelevant values. It can makes sense, or not depending on the method used and depending on what you want to do with your CHM.
Dec 7, 2019 at 21:27 history edited Aaron CC BY-SA 4.0
Fixed figure
Dec 7, 2019 at 21:17 history edited Aaron CC BY-SA 4.0
added 200 characters in body
Dec 7, 2019 at 21:02 history answered Aaron CC BY-SA 4.0