A multi-sensor approach for predicting biomass of extensively managed grassland

@inproceedings{Reddersen2014AMA,
  title={A multi-sensor approach for predicting biomass of extensively managed grassland},
  author={Bj{\"o}rn Reddersen and Thomas J. Fricke and Michael Wachendorf},
  year={2014}
}
Combining ultrasonic and LAI improved the prediction of grassland biomass.Improvements were particularly obvious at high biomass levels.NDVI-type vegetation indices derived by wavelength selection are superior to traditional VIs.Ultrasonic sward height proved to be the dominant estimator. Leaf area index (LAI), ultrasonic sward height (USH) and common vegetation indices (VI) derived by spectral radiometric reflection data were collected on an experimental field site with three sward types… CONTINUE READING

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