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Full-Text Articles in Forest Sciences
Tree Stem Volume Estimation From Terrestrial Lidar Point Cloud By Unwrapping, Zhongming An, Robert E. Froese
Tree Stem Volume Estimation From Terrestrial Lidar Point Cloud By Unwrapping, Zhongming An, Robert E. Froese
Michigan Tech Publications
Estimating the volume of standing trees is a fundamental concern in forestry and is typically accomplished using one or more measurements of stem diameter along with formulae that assume geometric primitives. In contrast, technologies such as terrestrial Light Detection And Ranging (LiDAR) can record very detailed spatial information on the actual surface of an object, such as a tree bole.We present a method using LiDAR that provides accurate volume estimates of tree stems, as well as 2D rasters that display details of stem surfaces, which we call the “unwrapping method.” This method combines the concepts of cylinder fitting, voxelization, and …
Estimation Of Dbh Using Tree Variables Derived From Aerial Lidar For Ford Forest, Baraga, Michigan, Tugay Demiraslan
Estimation Of Dbh Using Tree Variables Derived From Aerial Lidar For Ford Forest, Baraga, Michigan, Tugay Demiraslan
Dissertations, Master's Theses and Master's Reports
This study implemented LiDAR (Light Detection and Ranging) remote sensing technology and applied ITD (Individual Tree Detection) methods as an approach to estimate some essential tree variables, such as DBH (Diameter at Breast Height), height, volume, and biomass for Ford Forest Research Center in Upper Peninsula, Michigan. There were 34 deciduous (1 bigtooth aspen, 9 red oaks, 20 sugar maples, 2 white birches, and 2 yellow birches) and 17 coniferous (2 eastern hemlocks, 11 red pines, and 4 white pines) subject tree species. There were two different available LiDAR datasets from the same area that were collected in 2011 and …
Models Of Forest Inventory For Istanbul Forest Using Airborne Lidar And Spaceborne Imagery, Mustafa Kagan Ozkal
Models Of Forest Inventory For Istanbul Forest Using Airborne Lidar And Spaceborne Imagery, Mustafa Kagan Ozkal
Dissertations, Master's Theses and Master's Reports
Active remote sensing technology (LiDAR) and passive remote sensing technology (Pleiades and Göktürk-2 satellites) were used to find a meaningful relationship between ground data and remote sensing instruments for Istanbul Forest, Turkey. Two dominant species in the field, oak (deciduous trees) and maritime pine (coniferous trees), were researched. There were 86 plots total, 41 for maritime pine and 45 for oak. Three diameter at breast height (DBH) thresholds were studied. Trees of any DBH (DBH≥0.1 cm), trees ≥8 cm DBH thresholds and, trees ≥10 cm DBH thresholds. Both satellite image metrics were derived from Grey Level Co-occurrence Measures (GLCM). All …
A Comparison Of Two Open Source Lidar Surface Classification Algorithms, Wade T. Tinkham, Hongyu Huang, Alistair M. S. Smith, Rupesh Shrestha, Michael J. Falkowski, Andrew T. Hudak, Et Al.
A Comparison Of Two Open Source Lidar Surface Classification Algorithms, Wade T. Tinkham, Hongyu Huang, Alistair M. S. Smith, Rupesh Shrestha, Michael J. Falkowski, Andrew T. Hudak, Et Al.
Michigan Tech Publications
With the progression of LiDAR (Light Detection and Ranging) towards a mainstream resource management tool, it has become necessary to understand how best to process and analyze the data. While most ground surface identification algorithms remain proprietary and have high purchase costs; a few are openly available, free to use, and are supported by published results. Two of the latter are the multiscale curvature classification and the Boise Center Aerospace Laboratory LiDAR (BCAL) algorithms. This study investigated the accuracy of these two algorithms (and a combination of the two) to create a digital terrain model from a raw LiDAR point …