Package: postgresql-18-pointcloud Source: pgpointcloud Version: 1.2.5-4.pgdg22.04+1 Architecture: amd64 Maintainer: Debian PostgreSQL Maintainers Installed-Size: 456 Depends: postgresql-18, 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-18-pointcloud_1.2.5-4.pgdg22.04+1_amd64.deb Size: 100316 SHA512: 19e09692963a662659fea1cbc7d916537e2080f78aae6640604c9bb4c0921db7dce9ede8589adc436bc58e6ebab2738acd0fba19d17142785651033482bca021 SHA256: 7827a3e05980f8580930d318d18449881b7cd4643b5ef886c941e6ffa1b5a7b7 SHA1: ddccfece241dbd522840f750ccb578fa14251648 MD5sum: 90819616d884c1cd8b08bf908df682ca 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.