What data storage type should be used to create access to individual years of LAS datasets?

Using a mosaic dataset is the optimal choice for creating access to individual years of LAS (LiDAR) datasets, as it allows for the efficient management and visualization of large volumes of raster data. Mosaic datasets are specifically designed to hold multiple raster datasets while allowing for dynamic display and processing of this data.

One of the strengths of a mosaic dataset is its ability to incorporate spatial data efficiently and allow for the integration of varying resolutions and data types, while managing and displaying them seamlessly. This is particularly useful for LAS datasets that may represent different years of data collection, where one can easily depict and analyze changes over time.

Additionally, mosaic datasets can be tailored to display specific raster datasets based on defined parameters, which would allow for quick access to individual years of data as needed. This functionality is crucial when analyzing temporal changes, as it enables users to sift through a time-series of data without unnecessarily duplicating file storage.

Other data storage types, while beneficial in their own contexts, do not offer the same level of flexibility and efficiency when it comes to managing multiple years of LAS dataset information.