Download an ESRI White Paper : Lidar Analysis in ArcGIS 9.3.1 for Forestry Applications

This paper will step through processes to convert lidar data into a format ArcGIS can process, explain methods to interpret the lidar data, and show how ArcGIS can disseminate the data to those who are not geospatial analysts.

This paper present methods for reading raw classified lidar that the benefits to the forest industry. These include methods  for :

• Analyze and validate raw lidar data with ArcGIS before any extensive processing occurs.
• Store and manage millions of lidar returns within the geodatabase in a seamless dataset, regardless of the number of original lidar files.
• Extract DEMs and DSMs from the lidar data and store them as terrains in a geodatabase or as raster elevation files.
• Extract vegetation density estimates and tree height estimates from lidar, which aid in growth analysis, fertilization regimes, and logging operations.
• Serve and analyze large amounts of lidar data as a seamless dataset to GIS clients, reducing the need to analyze each lidar file on a file-by-file basis, providing good overall analysis of the forest.

ArcGIS is an excellent tool for managing, storing, and analyzing lidar data. Coupling ArcGIS with the ArcGIS Server Image extension enables organizations to distribute and access large amounts of lidar data quickly and efficiently without the need to produce additional resultant datasets.