Monitoring grass swards using imaging spectroscopy

A.G.T. Schut, J.J.M.H. Ketelaars

Research output: Contribution to journalArticleAcademicpeer-review

12 Citations (Scopus)

Abstract

The potential of an imaging spectroscopy system with high spatial (0.16-1.45 mm2) and spectral resolution (5-13 nm) was explored for monitoring light interception and biomass of grass swards. Thirty-six Lolium perenne L. mini-swards were studied for a total of eleven consecutive growth periods. Hyperspectral images and light interception (LI) were recorded twice weekly. On two dates ground cover was scored visually (GCV). At harvest, leaf area index (LAI), fresh-matter yield and dry-malter yield (DMY) were determined. Classification of images yielded several estimates of the image ground cover (GCi) and the index of reflection intensity (IRI). The GCi was highly correlated with GCV (r adj2 = 0.94), LAI (radj2 = 0.88) and LI (radj2 = 0.95, for dense swards under cloudy skies). However, the relationship between GCi and LI depended on sky conditions and sward structure. Under cloudy skies, LI was linearly related to GCi, whereas under clear skies, this relation was logistic. Regression analysis of GCi and yields showed correlations with r adj2 of between 0.75 and 0.82. The mean error of DMY estimates was 340 kg. In conclusion, estimates of GCi and IRI can be used to predict DMY, even for high yield levels (up to 3500 kg DM ha -1), allowing accurate, non-destructive monitoring of biomass and light interception of grass swards.
Original languageEnglish
Pages (from-to)276-286
JournalGrass and Forage Science
Volume58
Issue number3
DOIs
Publication statusPublished - 2003

Keywords

  • estimating herbage mass
  • rising-plate meter
  • capacitance meter
  • pastures
  • reflectance

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