Physical and Environmental Geography Commons^™

The Development Of A Convenient And Consistent Methodology For Flight Proficiency To Certify Multi-Rotor Uas Pilots For State Departments Of Transportation, Colin Dees

All Dissertations

To fly an unmanned aircraft system (UAS), commonly referred to as a “drone,” the Federal Aviation Administration (FAA) requires pilots to pass a knowledge test. There is no requirement at the state or federal level for drone operators to demonstrate the ability to operate a UAS. The National Institute of Science and Technology (NIST) has created an exam for public and private entities to assess basic UAS flight proficiency. It is the only nationally recognized flight proficiency protocol. NIST does not provide a scoring recommendation and leaves it to the user to determine the minimum criteria to pass. There is …

Monitoring Bull Kelp (Nereocystis Leutkeana) Remotely At High Resolutions, Hannah E. Joss

Cal Poly Humboldt theses and projects

Bull kelp (Nereocystis leutkeana) is a foundational seaweed in nearshore, marine systems, traditionally supporting economically important fisheries, extracting nutrients in its vicinity, and sequestering carbon and transporting it great distances to subsidize shallow and deep-sea environments. Bull kelp is also a culturally important species for some indigenous peoples along the northeastern Pacific coastline and provides a harvestable product with growing demand. Global trends in kelp distribution show patterns of decline, and the immense loss of northern California bull kelp forests in response to climatic changes have highlighted the need for alternative sources of kelp, both for the product …

Influence Of Altitude And Scan Angle On Uas-Lidar Ground Height Measurement Accuracy In Juncus Roemerianus Scheele (Black Needle Rush)-Dominated Marshes, Michael Amelunke

Master's Theses

Coastal marshes are influenced by complex interactions among environmental and human factors. Marsh plant communities exist across subtle elevation gradients which are highly influenced by the local tidal regime. To better understand these dynamic conditions, improved methodologies for acquiring accurate elevation values are a necessity in marsh research and management. However, overestimation of marsh elevation values obtained from remote sensing is common due to vegetation characteristics. The goal of this study was to address this problem by determining the optimum altitude and scan angle for Light Detection and Ranging (LiDAR) collection using an Unmanned Aerial System (UAS) within Juncus roemerianus …

Short-Term 2d And 3d Geomorphic Change Detection At A Public Park On Lake Michigan Using Uas Remote Sensing Techniques, Scott Patrick Fitzgerald

Masters Theses

The high-water level of Lake Michigan (LM) in the past few years has led to significant periods of erosion and increased the risk to private property owners on the coast. To cope with this, many property owners on the coast of LM have constructed coastal protections, some opting for seawalls. Previous studies have assessed the effects of seawalls but disagreed on their impacts, and only laboratory studies were able to establish their range of influence. Using a different method to study their effects will be pertinent to understanding them.

This research aims to use a higher temporal and spatial resolution …

Determining The Effect Of Mission Design And Point Cloud Filtering On The Quality And Accuracy Of Sfm Photogrammetric Products Derived From Suas Imagery, Daniel Shay Hostens

MSU Graduate Theses

This research investigates the influence that various flight plan and mission design strategies for collecting small unmanned aerial system (sUAS) imagery have on the accuracy of the resulting three-dimensional models to find an optimal method to achieve a result. This research also explores the effect that using gradual selection to reduce the sparse point cloud has on product accuracy and processing details. Imagery was collected in the spring of 2018 during leaf-off conditions at six field sites along the North Fork of the White River. The aerial imagery was collected using a DJI Phantom Pro 4 sUAS. Four different image …