Closed rorai-neto closed 1 year ago
In
las@data[, `:=`(ReturnNumber = 1:.N, NumberOfReturns = .N), by = .(gpstime, UserData)]
You have one or several groups with more than 7 points. Thus you are assigning a return number > 7 which is not possible in a LAS file version < 1.4. I can't say more without a reproductible example. The dataset was originally invalid, renumbering the point was unlikely to fix the problem. You must identify your problem first.
thats good to know I was'nt aware of this 3bit encoding
In
las@data[, `:=`(ReturnNumber = 1:.N, NumberOfReturns = .N), by = .(gpstime, UserData)]
You have one or several groups with more than 7 points. Thus you are assigning a return number > 7 which is not possible in a LAS file version < 1.4. I can't say more without a reproductible example. The dataset was originally invalid, renumbering the point was unlikely to fix the problem. You must identify your problem first.
Thank you very much for your reply. I used the las_check and I have the follow message
Checking the data
If it helps, attached is the link to download the point cloud tile. https://www.dropbox.com/sh/0dtvj0iice4i7h2/AABJSs1YT--zH2ccaLQ7gtIYa?dl=0
Thank you very much.
I see
✗ 2182 pulses (points with the same gpstime) have points with identical ReturnNumber
However it does not use UserData
for multibeam laser. So you may have less than this number if your sampling device is multibeam
I see
✗ 2182 pulses (points with the same gpstime) have points with identical ReturnNumber
However it does not use
UserData
for multibeam laser. So you may have less than this number if your sampling device is multibeam
I see. Thank you very much. Do you know how can i fix this to proceed with the intensities normalization? All the best.
I am performing intensities normalization in my LiDAR data. On the first attempt to perform the
track_sensor
, an error message appearsSo I fixed it using the following:
Afterwards, I can run the
track_sensor
, calculate the range and normalize the intensities.However, when i try to export the point cloud after the normalization, the following error message appears:
What does this message mean, and is it possible to fix this error?
Thanks in advance for the help. All the best.