Hyperspectral imaging based biomass and nitrogen content estimations from light-weight UAV

I. Pölönen, Heikki Saari, J. Kaivosoja, E. Honkavaara, L. Pesonen

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

27 Citations (Scopus)

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.
Original languageEnglish
Title of host publicationRemote Sensing for Agriculture, Ecosystems, and Hydrology XV
EditorsChristopher M.U. Neale, Antonino Maltese
Place of PublicationBellingham
PublisherInternational Society for Optics and Photonics SPIE
ISBN (Print)978-0-8194-9756-7
DOIs
Publication statusPublished - 2013
MoE publication typeA4 Article in a conference publication
EventRemote Sensing for Agriculture, Ecosystems, and Hydrology XV - Dresden, Germany
Duration: 24 Sep 201326 Sep 2013
Conference number: 15

Publication series

SeriesProceedings of SPIE
Volume8887
ISSN0277-786X

Conference

ConferenceRemote Sensing for Agriculture, Ecosystems, and Hydrology XV
CountryGermany
CityDresden
Period24/09/1326/09/13

Fingerprint

vegetation index
interferometer
flight
nitrogen
biomass
summer
Europe
test
data analysis

Keywords

  • biomass
  • hyperspectral imaging
  • nitrogen
  • UAV
  • unmixing

Cite this

Pölönen, I., Saari, H., Kaivosoja, J., Honkavaara, E., & Pesonen, L. (2013). Hyperspectral imaging based biomass and nitrogen content estimations from light-weight UAV. In C. M. U. Neale, & A. Maltese (Eds.), Remote Sensing for Agriculture, Ecosystems, and Hydrology XV [88870J ] Bellingham: International Society for Optics and Photonics SPIE. Proceedings of SPIE, Vol.. 8887 https://doi.org/10.1117/12.2028624
Pölönen, I. ; Saari, Heikki ; Kaivosoja, J. ; Honkavaara, E. ; Pesonen, L. / Hyperspectral imaging based biomass and nitrogen content estimations from light-weight UAV. Remote Sensing for Agriculture, Ecosystems, and Hydrology XV. editor / Christopher M.U. Neale ; Antonino Maltese. Bellingham : International Society for Optics and Photonics SPIE, 2013. (Proceedings of SPIE, Vol. 8887).
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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.",
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Pölönen, I, Saari, H, Kaivosoja, J, Honkavaara, E & Pesonen, L 2013, Hyperspectral imaging based biomass and nitrogen content estimations from light-weight UAV. in CMU Neale & A Maltese (eds), Remote Sensing for Agriculture, Ecosystems, and Hydrology XV., 88870J , International Society for Optics and Photonics SPIE, Bellingham, Proceedings of SPIE, vol. 8887, Remote Sensing for Agriculture, Ecosystems, and Hydrology XV, Dresden, Germany, 24/09/13. https://doi.org/10.1117/12.2028624

Hyperspectral imaging based biomass and nitrogen content estimations from light-weight UAV. / Pölönen, I.; Saari, Heikki; Kaivosoja, J.; Honkavaara, E.; Pesonen, L.

Remote Sensing for Agriculture, Ecosystems, and Hydrology XV. ed. / Christopher M.U. Neale; Antonino Maltese. Bellingham : International Society for Optics and Photonics SPIE, 2013. 88870J (Proceedings of SPIE, Vol. 8887).

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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AB - 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.

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Pölönen I, Saari H, Kaivosoja J, Honkavaara E, Pesonen L. Hyperspectral imaging based biomass and nitrogen content estimations from light-weight UAV. In Neale CMU, Maltese A, editors, Remote Sensing for Agriculture, Ecosystems, and Hydrology XV. Bellingham: International Society for Optics and Photonics SPIE. 2013. 88870J . (Proceedings of SPIE, Vol. 8887). https://doi.org/10.1117/12.2028624