In past blog postings we have discussed how mosaic datasets can be a powerful tool when used with imagery data. This blog post will introduce how mosaic datasets can also be a powerful tool to quickly create highly useful and variable products from LiDAR data.
Building on skills and techniques learned from a previous blog posts: "Part 1: Create a Pansharpened Image Using ArcGIS", you are ready to take the next step! Stay tuned for the final blog posting of this series and put the pieces of the puzzle together to create a high-quality end product.
Many factors influence how panchromatic images look after they have been collected, such as cloud cover and the amount of water area present. This workflow will walk you through how to create a high-quality panchromatic mosaic dataset using Quickbird Imagery.
This is the final blog posting in a series and will put together the knowledge and skills gained in Part 1: Creating a Panchromatic Mosaic Dataset and Part 2: Creating a Multispectral Mosaic Dataset. Panchromatic sharpening, more commonly called pansharpening, is a process in which two raster datasets are fused together to create one high-resolution, easy to analyze raster dataset.