Package: postgresql-13-pointcloud Source: pgpointcloud Version: 1.2.5-4.pgdg22.04+1 Architecture: amd64 Maintainer: Debian PostgreSQL Maintainers Installed-Size: 467 Depends: postgresql-13, libc6 (>= 2.14), libxml2 (>= 2.7.4), zlib1g (>= 1:1.1.4) Homepage: https://github.com/pgpointcloud/pointcloud Priority: optional Section: database Filename: pool/main/p/pgpointcloud/postgresql-13-pointcloud_1.2.5-4.pgdg22.04+1_amd64.deb Size: 109772 SHA512: 4cf2eef65659e0c3f34aa426ba6d61e3c6e3a8cbd900bde3c4a4e4ce01c5a2f7bee9887dfa62f6bfe534bbfdd965d88a66298c7f3278eb8be3fdc5fea643d4b7 SHA256: 7f7141dfd124ba227c53c847639a433983daea897c035ab0e9f480c57ee50eda SHA1: b172c60d49d3ac53103e8fc5ec7b74ff7cacd46c MD5sum: fe1db0b0c780b4581c539104e3be83f1 Description: PostgreSQL extension for storing point cloud (LIDAR) data LIDAR sensors quickly produce millions of points with large numbers of variables measured on each point. The challenge for a point cloud database extension is efficiently storing this data while allowing high fidelity access to the many variables stored. . Much of the complexity in handling LIDAR comes from the need to deal with multiple variables per point. The variables captured by LIDAR sensors varies by sensor and capture process. Some data sets might contain only X/Y/Z values. Others will contain dozens of variables: X, Y, Z; intensity and return number; red, green, and blue values; return times; and many more. There is no consistency in how variables are stored: intensity might be stored in a 4-byte integer, or in a single byte; X/Y/Z might be doubles, or they might be scaled 4-byte integers. . PostgreSQL Pointcloud deals with all this variability by using a "schema document" to describe the contents of any particular LIDAR point. Each point contains a number of dimensions, and each dimension can be of any data type, with scaling and/or offsets applied to move between the actual value and the value stored in the database. The schema document format used by PostgreSQL Pointcloud is the same one used by the PDAL library.