Spatial

Generically, spatial resolution defines the level of detail at which you can resolve the physical features of a dataset. The spatial resolution also limits the achievable level of spatial accuracy for your model. For more information on spatial accuracy, see Spatial Scale & Control. 

Spatial resolution is the pixel’s size representative of the real world spatial resolution is also referred to as Ground Sampling Distance (GSD). For example: an image with a spatial resolution of 2 centimeters has pixels that measure 2cmx2cm in the real world. What is the size of the target feature you are hoping to identify? A rule-of-thumb is to collect data at 3x the spatial resolution of the feature you want to identify.

Spatial resolution is quantified differently for active sensors that produce a point cloud. Point clouds do not have pixels, so we cannot use a measurement per pixel to describe spatial resolution. Instead, spatial resolution is described in terms of point density per unit area. For example, a sensor may produce a point cloud with a spatial resolution/point cloud density of 50 points per square meter.