Dear Krzysztof,

In R statistical software, you can use function read.las() from package rlas (https://cran.r-project.org/web/packages/rlas/rlas.pdf) to open the file as a data.table. Also you can use readLAS() from package lidR (https://cran.r-project.org/web/packages/lidR/lidR.pdf) to open the file as an object of class 'LAS' (defined by the lidR package). It can be converted to point type vector file with lidR::as.spatial() and to DEM with lidR::grid_terrain(). (Then use package sp/sf/rgdal to save as ESRI shapefile, and use package raster/rgdal to save as raster file.)

HTH,

Ákos

Cloudcompare is your best shot but for a quick visualisation rendered on a browser, https://plas.io/ is worth a try.

Cheers

Many thanks for your help Konstantinos Vlachos, Ákos Bede-Fazekas and Jose Cordero!

Sincerely,

Krzysztof Malarski

Krzysztof Mateusz Malarski

yes, cloudcompare is one of the cooler programs

but only when working on points cloud you will see what the graphics card is for and how you will lack power in it

you can also work on .las / .laz files in ArcMap, especially when it comes to generating rasters from a point cloud

Dear 3Ded software also has amazing tools

regards

Add to that cloudcompar, Envi, Arc Map

https://rapidlasso.com/

it is also embedded in SAGA GIS

Meshlab is one of equivalent for Cloudcompare, many vids and advises provided. Also Leica has its Cyclone but it costs.

You can use lastools and cloudcompare .and after processing you can use ERDAS Imagine ,or ArcGIS also .....If want to purchase then Smart processing LIDAR and QT modeller is also good .

ArcGis 5.3 with Lidar ,Global Mapper or Lidar 360

PointVue software

PointVue software for visualization and lastools for rasterization