Document Type
Article
Publication Version
Version of Record
Publication Date
5-2017
Keywords
compact biomass LiDAR (CBL); terrestrial laser scanning (TLS); Structure-from-Motion (SfM) photogrammetry; grass; volume; aboveground biomass (AGB); disc pasture meter
Description
Above ground biomass (AGB) is a parameter commonly used for assessment of grassland systems. Destructive AGB measurements, although accurate, are time consuming and are not easily undertaken on a repeat basis or over large areas. Structure-from-Motion (SfM) photogrammetry and Terrestrial Laser Scanning (TLS) are two technologies that have the potential to yield precise 3D structural measurements of vegetation quite rapidly. Recent advances have led to the successful application of TLS and SfM in woody biomass estimation, but application in natural grassland systems remains largely untested. The potential of these techniques for AGB estimation is examined considering 11 grass plots with a range of biomass in South Dakota, USA. Volume metrics extracted from the TLS and SfM 3D point clouds, and also conventional disc pasture meter settling heights, were compared to destructively harvested AGB total (grass and litter) and AGB grass plot measurements. Although the disc pasture meter was the most rapid method, it was less effective in AGB estimation (AGBgrass r 2 = 0.42, AGBtotal r 2 = 0.32) than the TLS (AGBgrass r 2 = 0.46, AGBtotal r 2 = 0.57) or SfM (AGBgrass r 2 = 0.54, AGBtotal r 2 = 0.72) which both demonstrated their utility for rapid AGB estimation of grass systems.
Publication Title
Remote Sensing
Volume
9
Issue
6
First Page
531
DOI of Published Version
10.3390/rs9060531
Pages
13
Type
text
Format
application/pdf
Language
en
Publisher
MDPI
Rights
Copyright © 2017 The Author(s)
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
Cooper, Sam D.; Roy, David P.; Schaaf, Crystal B.; and Paynter, Ian, "Examination of the Potential of Terrestrial Laser Scanning and Structure-from-Motion Photogrammetry for Rapid Nondestructive Field Measurement of Grass Biomass" (2017). GSCE Faculty Publications. 24.
https://openprairie.sdstate.edu/gsce_pubs/24
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Geographic Information Sciences Commons, Physical and Environmental Geography Commons, Remote Sensing Commons