Paper
4 May 2012 Biomass estimator for NIR image with a few additional spectral band images taken from light UAS
Ilkka Pölönen, Heikki Salo, Heikki Saari, Jere Kaivosoja, Liisa Pesonen, Eija Honkavaara
Author Affiliations +
Abstract
A novel way to produce biomass estimation will offer possibilities for precision farming. Fertilizer prediction maps can be made based on accurate biomass estimation generated by a novel biomass estimator. By using this knowledge, a variable rate amount of fertilizers can be applied during the growing season. The innovation consists of light UAS, a high spatial resolution camera, and VTT's novel spectral camera. A few properly selected spectral wavelengths with NIR images and point clouds extracted by automatic image matching have been used in the estimation. The spectral wavelengths were chosen from green, red, and NIR channels.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ilkka Pölönen, Heikki Salo, Heikki Saari, Jere Kaivosoja, Liisa Pesonen, and Eija Honkavaara "Biomass estimator for NIR image with a few additional spectral band images taken from light UAS", Proc. SPIE 8369, Sensing for Agriculture and Food Quality and Safety IV, 836905 (4 May 2012); https://doi.org/10.1117/12.918551
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Cited by 5 scholarly publications.
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KEYWORDS
Biological research

Near infrared

Hyperspectral imaging

Diffusion

Cameras

Unmanned aerial vehicles

Clouds

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