I'm encountering an issue while working with LAS data generated from the open-source software CloudCompare. I've exported 24 geometric features to a LAS file format(1.4), and I'm experiencing difficulties when trying to read this data.

I'd appreciate it if you could provide some insights or information regarding any limitations for LAS data with extra features. After exporting the LAS file and attempting to import it into CloudCompare, all the saved features are successfully read. However, when I use the R LidR package's readLAS function, it doesn't seem to work as expected. It looks like, after the 9th feature, it cuts off the others.

Here's a snippet of the R code I'm using:

R

library(lidR)
setwd("E:/MLS-ROAD2023/R/")
las_file <- "../data/CrossSection_20cm-features-all-2.las"
data <- readLAS(files = las_file)

Any help or guidance would be greatly appreciated.

Platform: x86_64-w64-mingw32/x64 (64-bit) R version 4.3.1 (2023-06-16 ucrt) LidR 4.0.4

I'm encountering an issue while working with LAS data generated from the open-source software CloudCompare. I've exported 24 geometric features to a LAS file format(1.4), and I'm experiencing difficulties when trying to read this data.

Can you provide some insights or information regarding any limitations for LAS data with extra features?

After exporting the LAS file and attempting to import it into CloudCompare, all the saved features are successfully read. However, when I use the R LidR package's readLAS function, it doesn't seem to work as expected. It looks like, after the 9th feature, it cuts off the others.

Here's a snippet of the R code I'm using:

R

library(lidR)
setwd("E:/MLS-ROAD2023/R/")
las_file <- "../data/CrossSection_20cm-features-all-2.las"
data <- readLAS(files = las_file)

Platform: x86_64-w64-mingw32/x64 (64-bit) R version 4.3.1 (2023-06-16 ucrt) LidR 4.0.4

I'm encountering an issue while working with LAS data generated from the open-source software CloudCompare. I've exported 24 geometric features to a LAS file format(1.4), and I'm experiencing difficulties when trying to read this data.

I'd appreciate it if you could provide some insights or information regarding any limitations for LAS data with extra features. After exporting the LAS file and attempting to import it into CloudCompare, all the saved features are successfully read. However, when I use the R LidR package's readLAS function, it doesn't seem to work as expected. It looks like, after the 9th feature, it cuts off the others.

Here's a snippet of the R code I'm using:

R

library(lidR)
setwd("E:/MLS-ROAD2023/R/")
las_file <- "../data/CrossSection_20cm-features-all-2.las"
data <- readLAS(files = las_file)

Any help or guidance would be greatly appreciated. Thank you in advance!

Best regards,

Platform: x86_64-w64-mingw32/x64 (64-bit) R version 4.3.1 (2023-06-16 ucrt) LidR 4.0.4

I'm encountering an issue while working with LAS data generated from the open-source software CloudCompare. I've exported 24 geometric features to a LAS file format(1.4), and I'm experiencing difficulties when trying to read this data.

I'd appreciate it if you could provide some insights or information regarding any limitations for LAS data with extra features. After exporting the LAS file and attempting to import it into CloudCompare, all the saved features are successfully read. However, when I use the R LidR package's readLAS function, it doesn't seem to work as expected. It looks like, after the 9th feature, it cuts off the others.

Here's a snippet of the R code I'm using:

R

library(lidR)
setwd("E:/MLS-ROAD2023/R/")
las_file <- "../data/CrossSection_20cm-features-all-2.las"
data <- readLAS(files = las_file)

Any help or guidance would be greatly appreciated.

Platform: x86_64-w64-mingw32/x64 (64-bit) R version 4.3.1 (2023-06-16 ucrt) LidR 4.0.4