David R. Carter

Virginia Tech

Blacksburg, VA

United States

SCHOLARLY PAPERS

2

DOWNLOADS

56

TOTAL CITATIONS

0

Scholarly Papers (2)

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1.

Predicting the Yield of Pinus Taeda (L.) Using UAV LiDAR Data in Random Forest and Support Vector Machine Models 

Number of pages: 65 Posted: 08 Apr 2025 Last Revised: 16 Apr 2025
Gunjan Barua, David R. Carter, Valerie A. Thomas, Corey Green, Phil Radtke, Thomas J. Pingel, Rachel Cook, Timothy J. Albaugh, Rafael A. Rubilar, Otávio Campoe and Matthew Sumnall
Virginia Tech, Virginia Tech, Virginia Tech, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, North Carolina State University, Virginia Tech, University of Concepción, Federal University of Lavras and Virginia Tech
Downloads 43 (906,757)

Abstract:

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individual tree crown (ITC) metrics, competition indices (CI), forest yield prediction, Remote sensing, machine learning (ML)

2.

Precision Forestry in Actively Managed Loblolly Pine Plantations: Leaf Area Index Response One Growing Season Following a Variable-Rate Fertilization

Number of pages: 56 Posted: 10 Mar 2025
Cohrs W. Chris, Al Lyons, Timothy J. Albaugh, David R. Carter, Otávio Campoe, Rafael A. Rubilar, Matthew Sumnall, Andrew Trlica, Mark V. Corrao, Simerjeet Virk, Rex Lester and Rachel Cook
North Carolina State University, affiliation not provided to SSRN, Virginia Tech, Virginia Tech, Federal University of Lavras, University of Concepción, Virginia Tech, North Carolina State University, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and North Carolina State University
Downloads 13 (1,241,912)

Abstract:

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loblolly pine, leaf area index, variable-rate fertilization, Sentinel-2, precision silviculture