LiDAR classified 2014

Altimetry data for the classified LiDAR-type Hauts-de-Seine territory from a winter 2014 LiDAR aerial acquisition. * * * * LiDAR data classified in LAS format is a product from the 2014 LiDAR aerial acquisition. It is a georeferenced point cloud classified according to the American Society for Photogrammetry and Remote Sensing (ASPRS) standard according to the nature of the object: soil, water surfaces, vegetation (low, medium, high), buildings, roads, railways, etc. The exploitation of LAS data requires specific tools and software. **Context** The Hauts-de-Seine Department carried out an aerial LiDAR acquisition on its territory in early 2014. A LiDAR acquisition has the advantages, especially in periods without leaves in vegetation, of being able to acquire more data on the ground under vegetation (for example wooded areas) or in bare agricultural areas. Thanks to these advantages, it is possible to generate more accurate Digital Field Models (DTMs). The technical characteristics of this LiDAR acquisition are as follows: * Projection: RGF93-CC49/IGN69 * Density: 16 pts/m² * Hard surface planimetric precision class: 0.1 m * Period of air acquisition: 2-8 April 2014 This LiDAR acquisition is the basis of several products that complement the Hauts-de-Seine Department’s altimetry data supply. **Lexic** LiDAR Light Detection and Ranging. It is a remote measurement technique based on the analysis of the properties of a beam of light returned to its transmitter. The LiDAR acquisition tool can be ground or airborne. In the case of an aerial acquisition, processing software is used to classify the properties of the light beam and to restore its nature: building, water, vegetation, soil,... MNT Digital model of field. It is a numerical representation of the shape of a natural terrain or not calculated from various data whose planimetric and altimetric coordinates are known: seedlings of ground or photogrammetry points, topographical lines raised on the ground or by photogrammetry, LiDAR points, point seedlings correlated from aerial images. The NTM represents only ground data. Overground data (buildings, vegetation, etc.) do not appear. The altitude value of these areas corresponds to the ground value. MGR Geographical linkage of Reference. Grid of slabs of 1 km by 1 km allowing the territory of Hauts-de-Seine to be regularly gridded. **Specific comments** The LAS data shall be made available in the form of: * 1 km x 1 km georeferenced tiles conform to the Geography Reference Maillage (MGR) of the Hauts-de-Seine Department. * Of “zip” files containing the georeferenced LAS tile. * The syntax used for the naming of tiles: “XXXX_YYYY_LAS”, uses the XY coordinates in RGF93-CC49 according to the Xmin_Ymax standard of the relevant slab. * The download of a slab is done by clicking on the slab in the table or in the map and downloading the associated zip file. The LiDAR point cloud classified in LAS format is a precise data reflecting the reality of the field and allows various applications including: * Development of a precise NTM by an Irregular Triangle Network (TIN) by combining ground-classified points and ground breaking lines. Its operation makes it possible to carry out calculations of slopes, extraction zones, depollution, flood calculations... * Vegetation study, modeling vegetation and canopy with a view to managing parks and gardens for example. * Automatic modeling of roof shapes and 3D urban modeling for operation type aeraulic studies or solar potential within the technical limits of the tools and precision of the LiDAR survey. **Related links** Link to the American Society for Photogrammetry and Remote Sensing (ASPRS) ‘https://www.asprs.org/’ **Related data** Open data portal of the Hauts-de-Seine Department * Link to the Geographical Mapping Dataset Reference: [Geographic Reference Mapping](https://opendata.hauts-de-seine.fr/explore/dataset/fr-229200506-maillage-geographique-de-reference) * Link to the 2014 MNT raster dataset: [MNT raster 2014](https://opendata.hauts-de-seine.fr/explore/dataset/fr-229200506-mnt-raster-2014) * Link to dataset 3D rated points 2014: [Points rated 3D 2014](https://opendata.hauts-de-seine.fr/explore/dataset/fr-229200506-points-cotes-3d-2014)