Creating eye-catching visualizations is crucial to a memorable presentation. Here we will introduce an Esri tool that allows users to “split” a topobathy digital elevation model (DEM) into two separate rasters, allowing for better visualization for submerged and topographic elevations.
Topobathy LiDAR is the combination, or parallel collection of traditional terrestrial LiDAR and bathymetric LiDAR. Here we will walk through the process of creating a high-quality topobathy Digital Elevation Model utilizing a portion of the 2014 NOAA National Geodetic Survey (NGS) Topobathy LiDAR data.
Bathymetric data is often in one vertical datum and terrestrial elevations in another. You open the data in ArcGIS and hope that the on-the-fly projection takes care of things, only to realize it only works for the horizontal datum. Learn the steps necessary to convert LAS data from NAVD 88 to MHW, these methods could also be used for other vertical datum transformations.
This blog posting will build on the Obtaining Elevation Data from NOAA Digital Coast blog post and introduce you to working with LiDAR data within the LAS dataset environment. A LAS Dataset is one of the Esri storage methods for LiDAR data in the LAS file format. Here we will explore creating two of the most basic outputs, the Digital Elevation Model and the Hillshade Model.
Building on the last LiDAR blog post which covered an introduction to using mosaic datasets as a way to manipulate LiDAR data. Here we explore more in-depth processes that can result in useful and versatile products.
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.
Finding and accessing high quality elevation data can be a challenging process; this blog post will introduce a great way to access these data for free.