USGS 3DEP Lidar Classification

This collection is derived from the [USGS 3DEP COPC collection](https://planetarycomputer.microsoft.com/dataset/3dep-lidar-copc). It uses the [ASPRS](https://www.asprs.org/) (American Society for Photogrammetry and Remote Sensing) [Lidar point classification](https://desktop.arcgis.com/en/arcmap/latest/manage-data/las-dataset/lidar-point-classification.htm). See [LAS specification](https://www.ogc.org/standards/LAS) for details. This COG type is based on the Classification [PDAL dimension](https://pdal.io/dimensions.html) and uses [`pdal.filters.range`](https://pdal.io/stages/filters.range.html) to select a subset of interesting classifications. Do note that not all LiDAR collections contain a full compliment of classification labels. To remove outliers, the PDAL pipeline uses a noise filter and then outputs the Classification dimension. The STAC collection implements the [`item_assets`](https://github.com/stac-extensions/item-assets) and [`classification`](https://github.com/stac-extensions/classification) extensions. These classes are displayed in the "Item assets" below. You can programmatically access the full list of class values and descriptions using the `classification:classes` field form the `data` asset on the STAC collection. Classification rasters were produced as a subset of LiDAR classification categories: ``` 0, Never Classified 1, Unclassified 2, Ground 3, Low Vegetation 4, Medium Vegetation 5, High Vegetation 6, Building 9, Water 10, Rail 11, Road 17, Bridge Deck ```

Organization	Landrush
License	proprietary
Access	cog
URL	https://planetarycomputer.microsoft.com/api/stac/v1/collections/3dep-lidar-classification
Datasets	0