Package: postgresql-11-pointcloud Source: pgpointcloud Version: 1.2.5-4.pgdg22.04+1 Architecture: amd64 Maintainer: Debian PostgreSQL Maintainers Installed-Size: 464 Depends: postgresql-11, 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-11-pointcloud_1.2.5-4.pgdg22.04+1_amd64.deb Size: 106372 SHA512: ef4e2c8f652f4de38f631f26c2af30df42c81bae0f8c737509fcac5bb31d0bb8a957eb23410242e26bb0fba297d2139853d936f476e21cd1442d0fa3833b4eab SHA256: fb3bef72d7c77da82cd6d31e6ef8efbb357ae35d4dc74d581b0374d6ea5fd164 SHA1: 3dc58c33dd5567de3b425c8343c6ff4e78e6c8f2 MD5sum: 5c8fe2ca9cb204cba1b85e323ecd6453 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.