Examination of the Potential of Terrestrial Laser Scanning and Structure-from-Motion Photogrammetry for Rapid Nondestructive Field Measurement of Grass Biomass

被引:85
作者
Cooper, Sam D. [1 ,2 ]
Roy, David P. [1 ,2 ]
Schaaf, Crystal B. [3 ]
Paynter, Ian [3 ]
机构
[1] South Dakota State Univ, Geospatial Sci Ctr Excellence, Brookings, SD 57007 USA
[2] South Dakota State Univ, Dept Geog, Brookings, SD 57007 USA
[3] Univ Massachusetts, Sch Environm, Boston, MA 02125 USA
关键词
compact biomass LiDAR (CBL); terrestrial laser scanning (TLS); Structure-from-Motion (SfM) photogrammetry; grass; volume; aboveground biomass (AGB); disc pasture meter; GROUND-BASED LIDAR; HAND-HELD CAMERA; ABOVEGROUND BIOMASS; INDIVIDUAL TREES; LEAF-AREA; MODELS; GROWTH; FIRE; DIVERSITY; HEIGHT;
D O I
10.3390/rs9060531
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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 (AGB(grass) r(2) = 0.42, AGB(total)r(2) = 0.32) than the TLS (AGB(grass) r(2) = 0.46, AGB(total) r(2) = 0.57) or SfM (AGB(grass) r(2) = 0.54, AGB(total) r(2) = 0.72) which both demonstrated their utility for rapid AGB estimation of grass systems.
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页数:13
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