Header

UZH-Logo

Maintenance Infos

UAV-based LiDAR acquisition for the derivation of high-resolution forest and ground information


Morsdorf, Felix; Eck, Christoph; Zgraggen, Carlo; Imbach, Benedikt; Schneider, Fabian D; Kükenbrink, Daniel (2017). UAV-based LiDAR acquisition for the derivation of high-resolution forest and ground information. The Leading Edge, 36(7):566-570.

Abstract

Laser scanning of forested areas helps in analyzing and understanding various aspects of forest conditions, including distribution of plants and trees, height distribution of trees, tree density, size and volume of wood, as well as ground surface properties. However, laser scanning of forest areas is also very challenging for many reasons. The best time for scanning is before trees leaf out in the spring or after trees cast their leaves in autumn before snowfall so an unmanned aerial vehicle (UAV) laser scanner can penetrate the forest from the tops of the trees down to the ground surface. To receive highly accurate laser data and high point density, the flight planning must be adjusted judiciously. Flight planning will be even more complex in steep terrain where the UAV cannot operate at a constant altitude. This paper discusses a UAV-based 3D laser data recording — LiDAR scanning — of a forestry area with high accuracy and point cloud resolution. In addition, the point cloud of airborne laser scanning (ALS) is compared with local terrestrial laser-scanning (TLS) results. The forest area consists of mixed forests containing varying tree sizes and branch deformation. This paper summarizes our latest results in UAVbased LiDAR acquisition over a forest area to extract detailed forest and ground information and finds that UAV-based laser scanning (UAV-LS) is well suited for provision of both high-quality forest structural and terrain elevation information.

Abstract

Laser scanning of forested areas helps in analyzing and understanding various aspects of forest conditions, including distribution of plants and trees, height distribution of trees, tree density, size and volume of wood, as well as ground surface properties. However, laser scanning of forest areas is also very challenging for many reasons. The best time for scanning is before trees leaf out in the spring or after trees cast their leaves in autumn before snowfall so an unmanned aerial vehicle (UAV) laser scanner can penetrate the forest from the tops of the trees down to the ground surface. To receive highly accurate laser data and high point density, the flight planning must be adjusted judiciously. Flight planning will be even more complex in steep terrain where the UAV cannot operate at a constant altitude. This paper discusses a UAV-based 3D laser data recording — LiDAR scanning — of a forestry area with high accuracy and point cloud resolution. In addition, the point cloud of airborne laser scanning (ALS) is compared with local terrestrial laser-scanning (TLS) results. The forest area consists of mixed forests containing varying tree sizes and branch deformation. This paper summarizes our latest results in UAVbased LiDAR acquisition over a forest area to extract detailed forest and ground information and finds that UAV-based laser scanning (UAV-LS) is well suited for provision of both high-quality forest structural and terrain elevation information.

Statistics

Citations

Dimensions.ai Metrics

2 citations in Scopus®
2 citations in Microsoft Academic
Google Scholar™

Altmetrics

Downloads

67 downloads since deposited on 26 Jun 2018
63 downloads since 12 months
Detailed statistics

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Geography
Dewey Decimal Classification:910 Geography & travel
Language:English
Date:2017
Deposited On:26 Jun 2018 12:26
Last Modified:26 Jun 2018 12:26
Publisher:Society of Exploration Geophysicists
ISSN:1070-485X
OA Status:Green
Publisher DOI:https://doi.org/10.1190/tle36070566.1

Download

Download PDF  'UAV-based LiDAR acquisition for the derivation of high-resolution forest and ground information'.
Preview
Content: Published Version
Language: English
Filetype: PDF
Size: 6MB
View at publisher