Watching grass grow - A pilot study on the suitability of photogrammetric techniques for quantifying change in Aboveground Biomass in Grassland experiments

Published

Conference Paper

© Authors 2018. Grassland ecology experiments in remote locations requiring quantitative analysis of the biomass in defined plots are becoming increasingly widespread, but are still limited by manual sampling methodologies. To provide a cost-effective automated solution for biomass determination, several photogrammetric techniques are examined to generate 3D point cloud representations of plots as a basis, to estimate aboveground biomass on grassland plots, which is a key ecosystem variable used in many experiments. Methods investigated include Structure from Motion (SfM) techniques for camera pose estimation with posterior dense matching as well as the usage of a Time of Flight (TOF) 3D camera, a laser light sheet triangulation system and a coded light projection system. In this context, plants of small scales (herbage) and medium scales are observed. In the first pilot study presented here, the best results are obtained by applying dense matching after SfM, ideal for integration into distributed experiment networks.

Full Text

Duke Authors

Cited Authors

  • Kröhnert, M; Anderson, R; Bumberger, J; Dietrich, P; Harpole, WS; Maas, HG

Published Date

  • May 30, 2018

Published In

Volume / Issue

  • 42 / 2

Start / End Page

  • 539 - 542

International Standard Serial Number (ISSN)

  • 1682-1750

Digital Object Identifier (DOI)

  • 10.5194/isprs-archives-XLII-2-539-2018

Citation Source

  • Scopus