ReadonlyidAn auto-generated UUID used internally to create unique keys for various purposes.
ReadonlyisReadonly flag to indicate that this object is a COPCSource.
ReadonlyisReadonly flag to indicate that his object implements MemoryUsage.
ReadonlyisRead-only flag to indicate that this object is a PointCloudSource.
ReadonlytypeThe name of the source implementation.
Gets whether the object is currently performing an asynchronous operation.
Returns the percentage of progress, in normalized value (i.e in the [0, 1] range), of the asynchronous operations that are scheduled to run on this object. 1 means that all operations have finished.
A flag that indicates that the source is ready to use. This flag should be true when initialize has finished.
Releases unmanaged resources from this object.
Gets the hierarchy of this point cloud.
Note: this does not provide point cloud data itself.
Returns an approximation of the memory used by this object, in bytes.
Gets the metadata of this source.
Loads buffer data for the specific PointCloudNode.
Options.
Initialize this source. As long as this source is not initialized, it cannot be used.
ProtectedinitializeImplement by subclasses to initialize the source. This is automatically called by initialize.
Raises an event to reload the source.
A source that reads from a remote Cloud Optimized Point Cloud (COPC) LAS file.
LAZ decompression is done in background threads using workers. If you wish to disable workers (for a noticeable cost in performance), you can set COPCSourceOptions.enableWorkers to
falsein constructor options.This source uses the laz-perf package to perform decoding of point cloud data. This package uses WebAssembly. If you wish to override the path to the required .wasm file, use setLazPerfPath() before using this source. The default path is DEFAULT_LAZPERF_PATH.
Decimation
This source supports decimation. By passing the COPCSourceOptions.decimate argument to a value other than 1, every Nth point will be kept and other points will be discarded during read operations.
Dimensions filtering
This source supports filtering over dimensions (also known as attributes) to eliminate points during reads. For example, it is possible to remove unwanted classifications such as noise from the output points.
Note that dimension filtering is independent from the selected attribute. In other words, it is possible to select the dimension
"Intensity", while filtering on dimensions"Classification"and"ReturnNumber"for example.For example, if we wish to remove all points that have the dimension "High noise" (dimension 18 in the ASPRS classification list), as well as removing all points whose intensity is lower than 1000: