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Articles 1 - 5 of 5
Full-Text Articles in Forest Sciences
Comparison Of Low-Cost Commercial Unpiloted Digital Aerial Photogrammetry To Airborne Laser Scanning Across Multiple Forest Types In California, James Edward Lamping
Comparison Of Low-Cost Commercial Unpiloted Digital Aerial Photogrammetry To Airborne Laser Scanning Across Multiple Forest Types In California, James Edward Lamping
Cal Poly Humboldt theses and projects
Science-based forest management requires quantitative information about forest attributes traditionally collected via sampled field plots in a forest inventory program. Remote sensing tools, such as active three-dimensional (3D) Light Detection and Ranging (lidar), are increasingly utilized to supplement and even replace field-based forest inventories. However, lidar remains cost prohibitive for smaller areas and repeat measurement, often limiting its use to single acquisitions of large contiguous areas. Recent advancements in unpiloted aerial systems (UAS), digital aerial photogrammetry (DAP) and high precision global positioning systems (HPGPS) have the potential to provide low-cost time and place flexible 3D data to support forest inventory …
Using Unmanned Aerial Systems (Drones) With A Thermal Sensor To Map And Count Deer Population, Maxwell C. Ott
Using Unmanned Aerial Systems (Drones) With A Thermal Sensor To Map And Count Deer Population, Maxwell C. Ott
Williams Honors College, Honors Research Projects
The number of deer in an area is an important statistic for land managers to know, as overabundance has many negative effects. There are many methods that have been used to count deer in the past, such as using manned helicopters and airplanes, walking on foot, and conducting controlled hunts. UAS (unmanned aerial systems) is a growing field that provides many benefits over traditional methods of counting deer, such as lower cost and missions being less time consuming. Using a thermal sensor attached to a UAS makes it simple to spot any deer during a flight. Two main methods of …
Photogrammetric Measurement Of Hardwood Species At A Stand Level Using Rgb Images From Unmanned Aerial Vehicle (Uav), Aishwarya Chandrasekaran
Photogrammetric Measurement Of Hardwood Species At A Stand Level Using Rgb Images From Unmanned Aerial Vehicle (Uav), Aishwarya Chandrasekaran
Purdue GIS Day
Nowadays, for many remote sensing applications, drones are employed for gathering data, as it provides low cost image acquisition with minimal human intervention. Drone remote sensing has an extensive use in forestry for maintaining inventories, mapping canopy structure and monitoring forest fires. Maintaining a Forest inventory database is a crucial task as it is the only means of keeping a record of the trees. This study aims to explore UAV based image acquisition (consumer-grade sensor) and analysis for forest studies using structure from motion technique.The main objective is to derive a methodology for computing tree parameters such as tree height, …
Positional Precision Analysis Of Orthomosaics Derived From Drone Captured Aerial Imagery, I-Kuai Hung, Daniel Unger, David Kulhavy, Yanli Zhang
Positional Precision Analysis Of Orthomosaics Derived From Drone Captured Aerial Imagery, I-Kuai Hung, Daniel Unger, David Kulhavy, Yanli Zhang
Faculty Publications
The advancement of drones has revolutionized the production of aerial imagery. Using a drone with its associated flight control and image processing applications, a high resolution orthorectified mosaic from multiple individual aerial images can be produced within just a few hours. However, the positional precision and accuracy of any orthomosaic produced should not be overlooked. In this project, we flew a DJI Phantom drone once a month over a seven-month period over Oak Grove Cemetery in Nacogdoches, Texas, USA resulting in seven orthomosaics of the same location. We identified 30 ground control points (GCPs) based on permanent features in the …
Using Unmanned Aerial Systems For Deriving Forest Stand Characteristics In Mixed Hardwoods Of West Virginia, Henry Liebermann, Jamie Schuler, Michael P. Strager, Angela K. Hentz, Aaron Maxwell
Using Unmanned Aerial Systems For Deriving Forest Stand Characteristics In Mixed Hardwoods Of West Virginia, Henry Liebermann, Jamie Schuler, Michael P. Strager, Angela K. Hentz, Aaron Maxwell
Journal of Geospatial Applications in Natural Resources
Forest inventory information is a principle driver for forest management decisions. Information gathered through these inventories provides a summary of the condition of forested stands. The method by which remote sensing aids land managers is changing rapidly. Imagery produced from unmanned aerial systems (UAS) offer high temporal and spatial resolutions to small-scale forest management. UAS imagery is less expensive and easier to coordinate to meet project needs compared to traditional manned aerial imagery. This study focused on producing an efficient and approachable work flow for producing forest stand board volume estimates from UAS imagery in mixed hardwood stands of West …