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This tutorial is so valuable, thanks for sharing. I have a question. I would like to extract overhead transmission line based on a polyline input. Is it possible? My main goal is to identify the height of the OH-line (height of OH line - DTM). Thanks for any suggestions

Hello, can you make a video on CloudCompy Wrapper - a Python module to interface to CloudCompare

Fantastic video, thank you.

Need your help please gibe me your contact

Great tutorial, thanks

thank you ❤

Boa tarde! Não consigo ativar o painel de propriedades! Poderia me ajudar? Só está visível o console e árvore de entidades. Me instruíram para que eu olhasse na parte inferior esquerda para alternar entre botões mas, também não está visível na parte inferior. Já desinstalei e reinstalei o cloudcompare e não tive sucesso...

if you have 364 data, why using n= 365?

Good stuff, thank you!

james do you have any sample las files . i need to learn cloud compare .

Biggest brain I have ever seen

Great video! Thank you very much. :)

Great video! Many thanks!

Thank you

Thanks so much for tutorial.

Thank you, How did you register the two clouds together in this case? specially you have very limited number of points from total station around 800 ?? probably the auto registration won't work very well ?

So pointsource id is a number that starts from 1 (or 0?) and gets +1 every time the lidar does a sweep?

Nce vid! But i was wondering why my las files are not rendering in cloud compare. I have a different version though, using v2.13. Can you help? Thanks

Is there a way to do callouts or annotations to the scalar field?

Not getting PCD files to open - how come?

Super cool and bananas at the same time. This Gorge will be the start of a huge shift in how we think these sorts of features are made. Slow and steady, nope try 6 days.

Great tutorial, thank you

Great job! The point cloud looks good. What equipment do you use and what software processing?

Hey, please how to solve the slope problem when the points appear higher than they really are.

Not sure if you still do this since the video is two years old. All of my las lidar files are miles long. We are a mobile mapping company. We have LAS and 360° Video for whole roads. When I bring it into cloud compare even with suggestion I get a straight line that I can not seem to zoom far enough into to see the data.

Great videos thanks so much for the help

simple and clear, thanks bro

Gud content, thanks for this tutorial

You saved me hours from having to remove spacing manually. Thank you so much!

Great tutorial, thank you very much :)

This video discussing single timeseries.. Thank you.. But if we have multiple streamflow timeseries for the same river derived based on different RCPs or SRES, how can the same be placed?

So for some reason my point IDs are not exporting with my txt or csv files.. is that normal???

Hi Can I tell what each color means?

Thank you for your work! :)

Thank you! well explained :) cheers

In my case, highest P value is 85.125. How can I calculate Q90? I have follow all your steps.

Hi James, fantastic work, so you have any tutorial to made a good DTM?

These videos are invaluable. Thank you for posting

Hi, I have a .obj file with its .mtl file but I don't know how to drag both into CC in a way that the model get colorized. Have you any idea about how can I do that?

Very well done and informative.

Best Tutorial I have ever seen

where did you bought the filters?

So Informative!! GREAT Tutorials!!

Hello , I have a point cloud that has a stream flowing across it, How do I digitize our the stream area like you have in your video

Hello, How do I digitize out the stream line like your data from the two years. I am using cloud compare. I want to extract the stream line

Hi, thank you for the amazing video !! I have a folder full of CSV files ( cloud point files ) and I want to convert them to the PCD format using CloudCompare on my windows machine. How can I do it using the Cloud compare application or from the command line ? Please help .

how to get the distance of the point cloud ?

Thanks ! very thorough and professional tutorial. :)

Nice video

Thank you very much for your nice tutorials!