Using LiDAR to improve classification of forested geomorphic landforms in the Ridge and Valley Physiographic Province of Pennsylvania
Creator(s):
Brubaker, Kristen
Abstract:
Dissertation chapter providing pertinent information on LiDAR vegetation validation.
How to cite this dataset:
Brubaker, K., 2014. Using LiDAR to improve classification of forested geomorphic landforms in the Ridge and Valley Physiographic Province of Pennsylvania, Version 1.0. Interdisciplinary Earth Data Alliance (IEDA).
https://doi.org/10.1594/IEDA/100478. Accessed 2024-04-25.
DOI Creation Date:
2014-07-31
Related
Publication(s):
Kristen M. Brubaker (2011): MULTI-SCALE LIDAR-BASED APPROACHES TO CHARACTERIZING STREAM NETWORKS, SURFACE ROUGHNESS AND LANDFORMS OF FOREST WATERSHEDS. Doctor of Philosophy, Pennsylvania State University, p. 162.
License:
Creative Commons Attribution-NonCommercial-Share Alike 3.0 United States [CC-BY-NC-SA-3.0]
Funding source(s):
National Science Foundation:
0725019Keyword(s):
Coverage Scope: Regional (Continents, Oceans)
Geographic Location: Pennsylvania
User Contributed Keyword(s):
LiDAR, vegetation
Data Available On:
2014-08-01