The functionality of OPALS is grouped in packages, each with a specific focus. The package list below follows a typical ALS processing chain from raw sensor data analysis, via DTM …

Exports vector data stored in an OPALS data manager (ODM) in various data formats. FillGaps Detects gaps (i.e. void pixels) in raster models and provides several interpolation methods to …

The primary aim of OPALS is to provide an automatic processing chain for ALS data. Each OPALS module represents a small individual component within the overall process. In the …

In the following sections the OPALS framework and the basic concepts of the OPALS data manager are explained in more detail. OPALS framework. Every OPALS module is thought to …

OPALS aims at providing a complete processing chain for large ALS projects for scientific and commercial users. For testing and small scientific studies, a full featured version of OPALS …

All OPALS specific data types including all common types (e.g. LogLevel) are now contained in the global opals scope and no longer at module level. Please refer to the documentation for …

OPALS provides a pre-configured OPALS shell ($OPALS_ROOT/opalsShell.bat), where the internal Python interpreter is configured and all necessary environment variables (PATH, …

As OPALS does not support LAS Wave Packets, pairs of point data record formats (1,4), (3,5), (6,9), and (8,10) yield the same information on disk, while the latter of each pair yields larger …

Sep 11, 2011 · For some, but not all of these types, OPALS defines a custom data type on the Python side (e.g. opals::HistoStats), whose methods are thus accessible to the Python …

OPALS uses the OPALS Data Manager (ODM) for the administration of ALS point clouds as well as line related geometries (eg. breaklines, formlines, borderlines). All subsequent OPALS …