Accuracy Comparison of Aerial Lidar, Mobile-Terrestrial Lidar, and UAV Photogrammetric Capture Data Elevations over Different Terrain Types

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 ac...

Full description

Bibliographic Details
Main Authors: Mandar Khanal, Mahamudul Hasan, Nikolaus Sterbentz, Ryen Johnson, Jesse Weatherly
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Infrastructures
Subjects:
Online Access:https://www.mdpi.com/2412-3811/5/8/65
id doaj-d5198dceb81d4a768adc85efb12db8a3
record_format Article
spelling doaj-d5198dceb81d4a768adc85efb12db8a32020-11-25T03:18:49ZengMDPI AGInfrastructures2412-38112020-07-015656510.3390/infrastructures5080065Accuracy Comparison of Aerial Lidar, Mobile-Terrestrial Lidar, and UAV Photogrammetric Capture Data Elevations over Different Terrain TypesMandar Khanal0Mahamudul Hasan1Nikolaus Sterbentz2Ryen Johnson3Jesse Weatherly4Department of Civil Engineering, Boise State University, Boise, ID 83725, USADepartment of Civil Engineering, Boise State University, Boise, ID 83725, USAIdaho Transportation Department, District 5, Pocatello, ID 83204, USAIdaho Transportation Department, District 5, Pocatello, ID 83204, USADavid Evans and Associates, Inc., Spokane, WA 99201, USALidar 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 originally part of the conventional survey, collected as cross-sections. These cross-sections were surveyed at three approximate tenth-mile sample locations along US-30 near Georgetown, Idaho. The cross-sections were collected as elevational accuracy verification, and each sample location was selected as an area where the mobile-terrestrial lidar in particular was expected to have more difficulty achieving accuracy off the road surface. Processing and analysis were performed in Esri ArcMap 10.6, and all data were obtained from the Idaho Transportation Department, District 5. Overall, the aerial lidar elevations were found to be closest to conventionally surveyed elevations; on road surface and level terrain, mobile-terrestrial and UAV photogrammetric capture elevations were closer to the conventionally measured elevations.https://www.mdpi.com/2412-3811/5/8/65lidarunmanned aerial vehiclesroad designUAV photogrammetric data captureterrain models
collection DOAJ
language English
format Article
sources DOAJ
author Mandar Khanal
Mahamudul Hasan
Nikolaus Sterbentz
Ryen Johnson
Jesse Weatherly
spellingShingle Mandar Khanal
Mahamudul Hasan
Nikolaus Sterbentz
Ryen Johnson
Jesse Weatherly
Accuracy Comparison of Aerial Lidar, Mobile-Terrestrial Lidar, and UAV Photogrammetric Capture Data Elevations over Different Terrain Types
Infrastructures
lidar
unmanned aerial vehicles
road design
UAV photogrammetric data capture
terrain models
author_facet Mandar Khanal
Mahamudul Hasan
Nikolaus Sterbentz
Ryen Johnson
Jesse Weatherly
author_sort Mandar Khanal
title Accuracy Comparison of Aerial Lidar, Mobile-Terrestrial Lidar, and UAV Photogrammetric Capture Data Elevations over Different Terrain Types
title_short Accuracy Comparison of Aerial Lidar, Mobile-Terrestrial Lidar, and UAV Photogrammetric Capture Data Elevations over Different Terrain Types
title_full Accuracy Comparison of Aerial Lidar, Mobile-Terrestrial Lidar, and UAV Photogrammetric Capture Data Elevations over Different Terrain Types
title_fullStr Accuracy Comparison of Aerial Lidar, Mobile-Terrestrial Lidar, and UAV Photogrammetric Capture Data Elevations over Different Terrain Types
title_full_unstemmed Accuracy Comparison of Aerial Lidar, Mobile-Terrestrial Lidar, and UAV Photogrammetric Capture Data Elevations over Different Terrain Types
title_sort accuracy comparison of aerial lidar, mobile-terrestrial lidar, and uav photogrammetric capture data elevations over different terrain types
publisher MDPI AG
series Infrastructures
issn 2412-3811
publishDate 2020-07-01
description 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 originally part of the conventional survey, collected as cross-sections. These cross-sections were surveyed at three approximate tenth-mile sample locations along US-30 near Georgetown, Idaho. The cross-sections were collected as elevational accuracy verification, and each sample location was selected as an area where the mobile-terrestrial lidar in particular was expected to have more difficulty achieving accuracy off the road surface. Processing and analysis were performed in Esri ArcMap 10.6, and all data were obtained from the Idaho Transportation Department, District 5. Overall, the aerial lidar elevations were found to be closest to conventionally surveyed elevations; on road surface and level terrain, mobile-terrestrial and UAV photogrammetric capture elevations were closer to the conventionally measured elevations.
topic lidar
unmanned aerial vehicles
road design
UAV photogrammetric data capture
terrain models
url https://www.mdpi.com/2412-3811/5/8/65
work_keys_str_mv AT mandarkhanal accuracycomparisonofaeriallidarmobileterrestriallidaranduavphotogrammetriccapturedataelevationsoverdifferentterraintypes
AT mahamudulhasan accuracycomparisonofaeriallidarmobileterrestriallidaranduavphotogrammetriccapturedataelevationsoverdifferentterraintypes
AT nikolaussterbentz accuracycomparisonofaeriallidarmobileterrestriallidaranduavphotogrammetriccapturedataelevationsoverdifferentterraintypes
AT ryenjohnson accuracycomparisonofaeriallidarmobileterrestriallidaranduavphotogrammetriccapturedataelevationsoverdifferentterraintypes
AT jesseweatherly accuracycomparisonofaeriallidarmobileterrestriallidaranduavphotogrammetriccapturedataelevationsoverdifferentterraintypes
_version_ 1724625728958365696