Engineering Commons^™

Accuracy Comparison Of Aerial Lidar, Mobile-Terrestrial Lidar, And Uav Photogrammetric Capture Data Elevations Over Different Terrain Types, Mandar Khanal, Mahamudul Hasan, Nikolaus Sterbentz, Ryen Johnson, Jesse Weatherly

Civil Engineering Faculty Publications and Presentations

Lidar and other remotely sensed data such as UAV photogrammetric data capture are being collected and utilized for roadway design on an increasing basis. These methods are desirable over conventional survey due to their efficiency and cost-effectiveness over large areas. A high degree of relative accuracy is achievable through the establishment of survey control. In this case study, elevations (z-values) derived from mobile-terrestrial lidar, aerial lidar, and UAV photogrammetric capture collected with survey control were statistically compared to conventionally surveyed elevations. A cost comparison of the methods is also included. Each set of z-values corresponds to a discrete horizontal point …

Exploring The Use Of Data From Newer Technologies In Road Design, Mahamudul Hasan

Boise State University Theses and Dissertations

The use of Light Detection and Ranging (Lidar) is widespread currently all over the world including the United States. Though on-the-ground surveying and photogrammetric surveying are the more common methods to acquire terrain information, Lidar data is being increasingly used for this purpose due to its various advantages. Various research indicates that the accuracy of Lidar data has increased enough to make its use suitable for diverse applications. One potential application that is explored in this research is the use of terrain models generated from Lidar data in road design. To make such use possible we need to be assured …

Assessing The Limitations And Capabilities Of Lidar And Landsat 8 To Estimate The Aboveground Vegetation Biomass And Cover In A Rangeland Ecosystem Using A Machine Learning Algorithm, Shital Dhakal

Boise State University Theses and Dissertations

Remote sensing based quantification of semiarid rangeland vegetation provides the large scale observations required for monitoring native plant distribution, estimating fuel loads, modeling climate and hydrological dynamics, and measuring carbon storage. Fine scale 3-dimensional vertical structural information from airborne lidar and improved signal to noise ratio and radiometric resolution of recent satellite imagery provide opportunities for refined measurements of vegetation structure.

In this study, we leverage a large number of time series Landsat 8 vegetation indices and lidar point cloud - based vegetation metrics with ground validation for scaling aboveground shrub and herb biomass and cover from small scale plot …