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Proceedings Paper

Hyperspectral imaging based biomass and nitrogen content estimations from light-weight UAV
Author(s): I. Pölönen; H. Saari; J. Kaivosoja; E. Honkavaara; L. Pesonen
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Paper Abstract

Hyperspectral imaging based precise fertilization is challenge in the northern Europe, because of the cloud conditions. In this paper we will introduce schemes for the biomass and nitrogen content estimations from hyperspectral images. In this research we used the Fabry-Perot interferometer based hypespectral imager that enables hyperspectral imaging from lightweight UAVs. During the summers 2011 and 2012 imaging and flight campaigns were carried out on the Finnish test field. Estimation mehtod uses features from linear and non-linear unmixing and vegetation indices. The results showed that the concept of small hyperspectral imager, UAV and data analysis is ready to operational use.

Paper Details

Date Published: 16 October 2013
PDF: 9 pages
Proc. SPIE 8887, Remote Sensing for Agriculture, Ecosystems, and Hydrology XV, 88870J (16 October 2013); doi: 10.1117/12.2028624
Show Author Affiliations
I. Pölönen, Univ. of Jyväskylä (Finland)
H. Saari, VTT Technical Research Ctr. of Finland (Finland)
J. Kaivosoja, MTT Agrifood Research Finland (Finland)
E. Honkavaara, Finnish Geodetic Institute (Finland)
L. Pesonen, MTT Agrifood Research Finland (Finland)

Published in SPIE Proceedings Vol. 8887:
Remote Sensing for Agriculture, Ecosystems, and Hydrology XV
Christopher M. U. Neale; Antonino Maltese, Editor(s)

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