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Data DOI: 10.1594/IEDA/100478
Title:
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 2020-10-01.
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: 0725019
Keyword(s):
  • Coverage Scope: Regional (Continents, Oceans)
  • Geographic Location: Pennsylvania
User Contributed Keyword(s):
LiDAR, vegetation
Data Available On:
2014-08-01
Download File(s):
File Name File Size
Chapter 4_Brubaker2011.pdf6.03 MB

Resource Type:
Dataset
Related Information
IsSupplementTo: