The Government of Navarre makes available to users the data of LiDAR flights performed in the years 2011-2012 and 2017. The 2011-2012 LiDAR flight is a conventional LiDAR flight, carried out with a linear scanning sensor (ALS60) of 1 point per m2 and semi-automatically classified (manually improved automatic classification into areas of same morphology based on patterns), and the 2017 flight was carried out with the Single Photon LiDAR (SPL100), with a density of 10 points per m2 and an automatic classification with machine laerning processing and a subsequent process adjustment. Due to the specifications of the Instituto Geografico Nacional the overlap points of the flightlines are classified separately, in classes starting at 21 and in the same order as the normal classes, i.e.: class 21 will be "Overlap-Unclassified" (same as 1), class 22 "Overlap-Ground" (same as 2), etc., except 28 which is "Overlap-Sensor Noise” which is the same as 18. This Sensor Noise has not been eliminated as it may contain information, including the vast majority of cable runs, which are not classified. The automatic classification entails other possible errors of assignment of class to the point, unavoidable without a manual edition. In the 2017 LiDAR flight, penetration into water bodies up to a maximum depth of 3m was observed, which, together with the fact that the flight dates (Autumn 2017) concurred with a period of severe low water, facilitates a very interesting bathymetry of rivers and ponds for certain applications. The Geodetic Reference System used is EPSG:25830 (ETRS89 UTM 30 North) and the heights are ellipsoidal. The files are associated with the RGB of the 2012 orthophotography in the case of 2011-2012 and the RGBI (4 bands: RGB + Near Infrared) of the fast ortho generated from the images captured by a half-format camera (RCD30) in a flight together with the LiDAR sensor. This fast ortho has radiometric and geometric differences, so in some cases there is neither geometric nor radiometric continuity. This effect means that the RGBI information associated with the LiDAR point cloud can be displaced, in some cases up to several metres. In 2011-2012 there are duplicate files, i.e. they are in the two years of observation, and they carry information of the points observed in both years together. The file format used is ".laz", version 1.2 for 2011-2012 and 1.4 for 2017. Due to the novelty and lack of adaptation of some programs to the files in ".laz" version 1.4 format, the "LiDAR Converter" tool is freely available. This tool of the Government of Navarre, developed by Tracasa Instrumental, makes it possible to transform LiDAR data between its different versions, from 1.1 to 1.4 and ".las" and ".laz" formats. It also makes it possible to change the reference system, transform ellipsoidal to orthometric altitudes, display classes, filter classified points, spatial filter by coordinates, reassign RGBI attributes and Intensity and modify the point format. In the folder "5_0_LiDAR_Converter_20180911" you will find a ".zip" with the application. It is portable so you can save it where you want and run it with double click on "TcLasConverter.exe" that is in the subfolder "LiDAR Converter for Windows - x64". Any error or suggestion about how it works, please send it to "sección.cartografía@navarra.es". Also if you find defects in the data we will appreciate your feedback. Each file contains the LiDAR of 2km x 2km or 1km x 1km, depending on 2011-2012 or 2017 respectively, of the territory of the Comunidad Foral. In the directory are the grids for download, in DGN, DWG and SHP formats, which contain the grids in whose attributes is the name of the file. There are also the flightlineprint files with the date and flightline attributes. This last attribute corresponds to the "SOURCE_ID" of the LiDAR points. There are areas where the data comes from several flightlines and different dates. Each file name is composed of: - The first seven or eigth digits tell us that this is a manual classified (las_sc_) or automatically classified with machine laerning processing and a subsequent optimitation (las_cam_) LiDAR flight. - From the eighth to the fifteenth digit, we have the x-coordinate of the upper left corner in km, next a low separator bar and next the y-coordinate of the upper left corner in km. - The sixteenth digit is a low separator bar "_". - After the year (it can be one or several separated by a low bar) plus the area of Navarre to which it belongs if this is the case (NAV_NORTE (2012), NAV_CENTRO (2011), NAV_SUR (2012) or simply NAV (2017)). - It's followed by a low separator bar "_" - Finally the Geodetic Reference System used. Example: las_cm_552_4728_2011_NAV_CENTRO_EPSG25830 The 2011-2012(cm) classification corresponds to this table: 1 Without classification 2 Ground 3 Low vegetation 4 Medium vegetation 5 High vegetation 6 Buildings 7 Low points 9 Overlap 10 Bridge 11 Bridge Structure 13 Solar panel 14 Greenhouse 15 Building crane, Tower 16 Noise 33 Water The new 2017(cam) classification corresponds to this table: 2 Ground 3 Low vegetation 4 Medium vegetation 5 High vegetation 6 Buildings 8 Cars 9 Water bottom 10 Discarded overlap 11 Noise 12 MDT 2014 17 Vanished points 18 Sensor noise 28 Sensor noise overlap 32 Bridges Translated with www.DeepL.com/Translator and corrected some technical words.