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Full-Text Articles in Life 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 …
Using Lidar To Estimate Carbon Sequestration Of Evergreen Trees At Eastern Washington University (Ewu) Campus, Cheney, Washington, Kristy A. Snyder
Using Lidar To Estimate Carbon Sequestration Of Evergreen Trees At Eastern Washington University (Ewu) Campus, Cheney, Washington, Kristy A. Snyder
2022 Symposium
EWU contains a variety of deciduous and evergreen trees across its campus, providing several benefits. However, no comprehensive record exists of the total number, location, species, or ages of these trees. This knowledge can inform facilities of proper care for individual trees and can be used to estimate carbon sequestration on campus. Traditional on-the-ground methods for assessing trees require tree cores or clinometers, making trees susceptible to pests or disease and leading to inaccurate results. Remote sensing using lidar data is a noninvasive, more precise method to measure tree height and subsequently assess tree age. This poster explores using point …
Urban Aerobiological Risk Mapping Of Ornamental Trees Using A New Index Based On Lidar And Kriging: A Case Study Of Plane Trees, Raúl Pecero-Casimiro, Santiago Fernández-Rodríguez, Rafael Tormo-Molina, Alejandro Monroy-Colín, Inmaculada Silva-Palacios, Juan Pedro Cortés-Pérez, Ángela Gonzalo-Garijo, J. M. Maya-Manzano
Urban Aerobiological Risk Mapping Of Ornamental Trees Using A New Index Based On Lidar And Kriging: A Case Study Of Plane Trees, Raúl Pecero-Casimiro, Santiago Fernández-Rodríguez, Rafael Tormo-Molina, Alejandro Monroy-Colín, Inmaculada Silva-Palacios, Juan Pedro Cortés-Pérez, Ángela Gonzalo-Garijo, J. M. Maya-Manzano
Articles
Ornamental trees bring benefits for human health, including reducing urban pollution. However, some species, such as plane trees (Platanus sp.), produce allergenic pollen. Consequently, urban maps are a valuable tool for allergic patients and allergists, but they often fail to include variables that contribute to the “building downwash effect”, such as the width and shape of streets and the height of buildings. Other factors that directly influence pollen dispersion (slopes and other geographical features) also have not traditionally been discussed. The LiDAR (Laser Imaging Detection and Ranging) technique enables one to consider these variables with high accuracy. This work proposes …
Forest Understory Trees Can Be Segmented Accurately Within Sufficiently Dense Airborne Laser Scanning Point Clouds, Hamid Hamraz, Marco A. Contreras, Jun Zhang
Forest Understory Trees Can Be Segmented Accurately Within Sufficiently Dense Airborne Laser Scanning Point Clouds, Hamid Hamraz, Marco A. Contreras, Jun Zhang
Computer Science Faculty Publications
Airborne laser scanning (LiDAR) point clouds over large forested areas can be processed to segment individual trees and subsequently extract tree-level information. Existing segmentation procedures typically detect more than 90% of overstory trees, yet they barely detect 60% of understory trees because of the occlusion effect of higher canopy layers. Although understory trees provide limited financial value, they are an essential component of ecosystem functioning by offering habitat for numerous wildlife species and influencing stand development. Here we model the occlusion effect in terms of point density. We estimate the fractions of points representing different canopy layers (one overstory and …
Predictive Modeling Of Black Spruce (Picea Mariana (Mill.) B.S.P.) Wood Density Using Stand Structure Variables Derived From Airborne Lidar Data In Boreal Forests Of Ontario, Bharat Pokharel, Art Groot, Douglas G. Pitt, Murray Woods, Jeffery P. Dech
Predictive Modeling Of Black Spruce (Picea Mariana (Mill.) B.S.P.) Wood Density Using Stand Structure Variables Derived From Airborne Lidar Data In Boreal Forests Of Ontario, Bharat Pokharel, Art Groot, Douglas G. Pitt, Murray Woods, Jeffery P. Dech
Agricultural and Environmental Sciences Faculty Research
Our objective was to model the average wood density in black spruce trees in representative stands across a boreal forest landscape based on relationships with predictor variables extracted from airborne light detection and ranging (LiDAR) point cloud data. Increment core samples were collected from dominant or co-dominant black spruce trees in a network of 400 m2 plots distributed among forest stands representing the full range of species composition and stand development across a 1,231,707 ha forest management unit in northeastern Ontario, Canada. Wood quality data were generated from optical microscopy, image analysis, X-ray densitometry and diffractometry as employed in SilviScan™. …
Low Mortality In Tall Tropical Trees, R. Q. Thomas, J. R. Kellner, D. B. Clark, D. R. Peart
Low Mortality In Tall Tropical Trees, R. Q. Thomas, J. R. Kellner, D. B. Clark, D. R. Peart
Dartmouth Scholarship
The dynamics of the tallest trees in tropical forests are of special interest due to their carbon content, canopy dominance, and the large canopy gaps created when they die. Known ecological mechanisms that may influence tall tree survival lead to conflicting predictions. Hydraulic stress and exposure to high winds and desiccation should increase death rates, yet the tallest trees have the greatest access to light and escape damage caused by falling boles and branches. The uncertainty in tall tree mortality rates has been difficult to address due to their low density, which makes mortality rates challenging to estimate accurately. Here, …
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 …
Geolite, An Arcgis Extension To Assist In Lidar Data Processing, Yanli Zhang, Jason Grogan, I-Kuai Hung, Ramanathan Sugumaran
Geolite, An Arcgis Extension To Assist In Lidar Data Processing, Yanli Zhang, Jason Grogan, I-Kuai Hung, Ramanathan Sugumaran
Faculty Publications
No abstract provided.
Assessment Of Canopy Fuel Loading Across A Heterogeneous Landscape Using Lidar, Kenneth L. Clark, Nicholas Skowronski, Michael Gallagher, Nicholas Carlo, Michael Farrell, Melanie R. Maghirang
Assessment Of Canopy Fuel Loading Across A Heterogeneous Landscape Using Lidar, Kenneth L. Clark, Nicholas Skowronski, Michael Gallagher, Nicholas Carlo, Michael Farrell, Melanie R. Maghirang
JFSP Research Project Reports
Our research used light detection and ranging (LiDAR) systems coupled with sequential harvesting of Pitch pine (Pinus rigida Mill.) to quantify canopy fuels in three dimensions across a large, heterogeneous landscape impacted by multiple wildfires, prescribed burns and insect defoliation events. We used a three-tiered approach; 1) calibration of upward sensing profiling LiDAR data with sequential harvesting of 20 x 20 meter plots to quantify the mass of foliage, branches and stems in Pitch pine canopies in 1-meter height layers, 2) scaling results to the landscape scale using previously-published relationships between upward sensing and downward sensing scanning LiDAR systems in …
Estimation Of Effective Plant Area Index For South Korean Forests Using Lidar System, D. A. Kwak, W. K. Lee, Menas Kafatos, Y. Son, H. K. Cho, S. H. Lee
Estimation Of Effective Plant Area Index For South Korean Forests Using Lidar System, D. A. Kwak, W. K. Lee, Menas Kafatos, Y. Son, H. K. Cho, S. H. Lee
Mathematics, Physics, and Computer Science Faculty Articles and Research
Light Detection and Ranging (LiDAR) systems can be used to estimate both vertical and horizontal forest structure. Woody components, the leaves of trees and the understory can be described with high precision, using geo-registered 3D-points. Based on this concept, the Effective Plant Area Indices (PAIe) for areas of Korean Pine (Pinus koraiensis), Japanese Larch (Larix leptolepis) and Oak (Quercus spp.) were estimated by calculating the ratio of intercepted and incident LIDAR laser rays for the canopies of the three forest types. Initially, the canopy gap fraction (GLiDAR) was generated by extracting the LiDAR data reflected from the canopy surface, or …