Error in fast_quantization(las@data[["Z"]], zscale, zoffset)

[cingularities]

Running normalized height.

AGL <- normalize_height(canopy_points, DTM, na.rm = TRUE, copy=TRUE)

Error:

Error in fast_quantization(las@data[["Z"]], zscale, zoffset) : 
  Non quantizable value outside the range of representable values of type 'int'

I already loaded the file using filter = "-drop_class 7"

lidR version: 4.0.0. Data

[Jean-Romain]

Can you investigate to reduce the problem to a smaller file/area. Downloading 3 GB will take me hours and I can't load such big file on my computer. And you did non share the DTM. If you computed the DTM with rasterize_terrain() please share a minimal reproducible example.

[cingularities]

https://drive.google.com/drive/folders/12Z-vexz_cRNlgkHZLhkv9YIPxNu-_xQ7?usp=sharing
Here you go.
Folder includes canopy points and DTM

[Jean-Romain]

Reproduced with

library(lidR)
library(terra)
setwd("~/lidR issues/issue 571/")

dtm = rast("DTM_042022.tif")
las = readLAS("canopy_points_042022.las")
nlas <- normalize_height(las, dtm*1)

Notice that na.rm is no longer useful since v4.0.0 and copy,as far as I can remember, never existed. Anyway it does not change anything to the issue.

[Jean-Romain]

The Z scale factor is not set to 0 when normalizing. Thanks for reporting.