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2 results on '"TIMBER THEFT"'

1. Post-Logging Estimation of Loblolly Pine (Pinus taeda) Stump Size, Area and Population Using Imagery from a Small Unmanned Aerial System

Author

Sathishkumar Samiappan, Gray Turnage, Cary McCraine, Joshua Skidmore, Lee Hathcock, and Robert Moorhead

Subjects
Pinus taeda, timber theft, timber trespass, forest measurement, UAS, drones, sampling, Motor vehicles. Aeronautics. Astronautics, TL1-4050
Abstract

This study describes an unmanned aerial system (UAS) method for accurately estimating the number and diameters of harvested Loblolly Pine (Pinus taeda) stumps in a final harvest (often referred as clear-cut) situation. The study methods are potentially useful in initial detection, quantification of area and volume estimation of legal or illegal logging events to help estimate the volumes and value of removed pine timber. The study sites used included three adjacent pine stands in East-Central Mississippi. Using image pattern recognition algorithms, results show a counting accuracy of 77.3% and RMSE of 4.3 cm for stump diameter estimation. The study also shows that the area can be accurately estimated from the UAS collected data. Our experimental study shows that the proposed UAS survey method has the potential for wide use as a monitoring or investigation tool in the forestry and land management industries.

Published
2017
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2. Post-Logging Estimation of Loblolly Pine (Pinus taeda) Stump Size, Area and Population Using Imagery from a Small Unmanned Aerial System

Author

Cary McCraine, Robert J. Moorhead, Lee Hathcock, Gray Turnage, Joshua Skidmore, and Sathishkumar Samiappan

Subjects
0106 biological sciences, Engineering, sampling, 010504 meteorology & atmospheric sciences, lcsh:Motor vehicles. Aeronautics. Astronautics, Population, Aerospace Engineering, Volume estimation, 01 natural sciences, Loblolly pine, timber trespass, Study methods, drones, Artificial Intelligence, education, 0105 earth and related environmental sciences, Estimation, education.field_of_study, business.industry, Logging, Sampling (statistics), Forestry, Pinus taeda, forest measurement, Computer Science Applications, %22">Pinus , Control and Systems Engineering, UAS, lcsh:TL1-4050, business, timber theft, 010606 plant biology & botany, Information Systems
Abstract

This study describes an unmanned aerial system (UAS) method for accurately estimating the number and diameters of harvested Loblolly Pine (Pinus taeda) stumps in a final harvest (often referred as clear-cut) situation. The study methods are potentially useful in initial detection, quantification of area and volume estimation of legal or illegal logging events to help estimate the volumes and value of removed pine timber. The study sites used included three adjacent pine stands in East-Central Mississippi. Using image pattern recognition algorithms, results show a counting accuracy of 77.3% and RMSE of 4.3 cm for stump diameter estimation. The study also shows that the area can be accurately estimated from the UAS collected data. Our experimental study shows that the proposed UAS survey method has the potential for wide use as a monitoring or investigation tool in the forestry and land management industries.

Published
2017

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