• 1
  • 2
  • 3
  • 4
  • 5
  • 6
  • 7
  • 8
  • 9
  • 10
  • 11
Up

LiDAR Analysis in R in Support of Forest Resource Decision Making

LiDAR Analysis in R in Support of Forest Resource Decision Making
File Size:
83.77 MB
Author:
Dr. Andrew Sanchez Meador

Open source software, toolkits and development platforms have transformed the nature of software development and use and the fields of forestry, remote sensing and natural resource management are no exceptions. Recently, packages for the R Project, the statistical programming language and environment that boasts millions of community members, have been developed for the applications of LiDAR, remote sensing and GIS; high-performance and parallel computing with big data; and various machine learning and statistical modeling techniques. This talk presents a broad overview of R packages relevant to LiDAR processing and analysis and demonstrates a workflow in the R environment to provide enhanced forest structural and compositional information in support of forest resource decision making.

 
 
 
 
Powered by Phoca Download