Processing and assessment of spectrometric, stereoscopic imagery collected using a lightweight UAV spectral camera for precision agriculture

E. Honkavaara (Corresponding Author), Heikki Saari, J. Kaivosoja, I. Pölönen, T. Hakala, P. Litkey, Jussi Mäkynen, L. Pesonen

Research output: Contribution to journalArticleScientificpeer-review

214 Citations (Scopus)

Abstract

Imaging using lightweight, unmanned airborne vehicles (UAVs) is one of the most rapidly developing fields in remote sensing technology. The new, tunable, Fabry-Perot interferometer-based (FPI) spectral camera, which weighs less than 700 g, makes it possible to collect spectrometric image blocks with stereoscopic overlaps using light-weight UAV platforms. This new technology is highly relevant, because it opens up new possibilities for measuring and monitoring the environment, which is becoming increasingly important for many environmental challenges. Our objectives were to investigate the processing and use of this new type of image data in precision agriculture. We developed the entire processing chain from raw images up to georeferenced reflectance images, digital surface models and biomass estimates. The processing integrates photogrammetric and quantitative remote sensing approaches. We carried out an empirical assessment using FPI spectral imagery collected at an agricultural wheat test site in the summer of 2012. Poor weather conditions during the campaign complicated the data processing, but this is one of the challenges that are faced in operational applications. The results indicated that the camera performed consistently and that the data processing was consistent, as well. During the agricultural experiments, promising results were obtained for biomass estimation when the spectral data was used and when an appropriate radiometric correction was applied to the data. Our results showed that the new FPI technology has a great potential in precision agriculture and indicated many possible future research topics.
Original languageEnglish
Pages (from-to)5006-5039
Number of pages33
JournalRemote Sensing
Volume5
Issue number10
DOIs
Publication statusPublished - 2013
MoE publication typeA1 Journal article-refereed

Fingerprint

precision agriculture
interferometer
imagery
remote sensing
biomass
digital image
reflectance
wheat
summer
monitoring
vehicle
experiment

Keywords

  • agriculture
  • biomass
  • dsm
  • hyperspectral
  • photogrammetry
  • point cloud
  • radiometry
  • spectrometry
  • uav

Cite this

Honkavaara, E. ; Saari, Heikki ; Kaivosoja, J. ; Pölönen, I. ; Hakala, T. ; Litkey, P. ; Mäkynen, Jussi ; Pesonen, L. / Processing and assessment of spectrometric, stereoscopic imagery collected using a lightweight UAV spectral camera for precision agriculture. In: Remote Sensing. 2013 ; Vol. 5, No. 10. pp. 5006-5039.
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Honkavaara, E, Saari, H, Kaivosoja, J, Pölönen, I, Hakala, T, Litkey, P, Mäkynen, J & Pesonen, L 2013, 'Processing and assessment of spectrometric, stereoscopic imagery collected using a lightweight UAV spectral camera for precision agriculture', Remote Sensing, vol. 5, no. 10, pp. 5006-5039. https://doi.org/10.3390/rs5105006

Processing and assessment of spectrometric, stereoscopic imagery collected using a lightweight UAV spectral camera for precision agriculture. / Honkavaara, E. (Corresponding Author); Saari, Heikki; Kaivosoja, J.; Pölönen, I.; Hakala, T.; Litkey, P.; Mäkynen, Jussi; Pesonen, L.

In: Remote Sensing, Vol. 5, No. 10, 2013, p. 5006-5039.

Research output: Contribution to journalArticleScientificpeer-review

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AU - Honkavaara, E.

AU - Saari, Heikki

AU - Kaivosoja, J.

AU - Pölönen, I.

AU - Hakala, T.

AU - Litkey, P.

AU - Mäkynen, Jussi

AU - Pesonen, L.

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KW - biomass

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KW - hyperspectral

KW - photogrammetry

KW - point cloud

KW - radiometry

KW - spectrometry

KW - uav

U2 - 10.3390/rs5105006

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JO - Remote Sensing

JF - Remote Sensing

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