Visible, very near IR and short wave IR hyperspectral drone imaging system for agriculture and natural water applicationS

H. Saari, A. Akujärvi, C. Holmlund, H. Ojanen, J. Kaivosoja, A. Nissinen, O. Niemeläinen

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

3 Citations (Scopus)

Abstract

The accurate determination of the quality parameters of crops requires a spectral range from 400 nm to 2500 nm (Kawamura et al., 2010, Thenkabail et al., 2002). Presently the hyperspectral imaging systems that cover this wavelength range consist of several separate hyperspectral imagers and the system weight is from 5 to 15 kg. In addition the cost of the Short Wave Infrared (SWIR) cameras is high (~50 k€). VTT has previously developed compact hyperspectral imagers for drones and Cubesats for Visible and Very near Infrared (VNIR) spectral ranges (Saari et al., 2013, Mannila et al., 2013, Näsilä et al., 2016). Recently VTT has started to develop a hyperspectral imaging system that will enable imaging simultaneously in the Visible, VNIR, and SWIR spectral bands. The system can be operated from a drone, on a camera stand, or attached to a tractor. The targeted main applications of the DroneKnowledge hyperspectral system are grass, peas, and cereals. In this paper the characteristics of the built system are shortly described. The system was used for spectral measurements of wheat, several grass species and pea plants fixed to the camera mount in the test fields in Southern Finland and in the green house. The wheat, grass and pea field measurements were also carried out using the system mounted on the tractor. The work is part of the Finnish nationally funded “DroneKnowledge - Towards knowledge based export of small UAS remote sensing technology” project.

Original languageEnglish
Title of host publicationFrontiers in Spectral imaging and 3D Technologies for Geospatial Solutions
EditorsE. Honkavaara, B. Hu, K. Karantzalos, X. Liang, R. Müller, E. Nocerino, I. Pölönen, P. Rönnholm
PublisherInternational Society for Photogrammetry and Remote Sensing ISPRS
Pages165-170
DOIs
Publication statusPublished - 19 Oct 2017
MoE publication typeA4 Article in a conference publication
EventFrontiers in Spectral imaging and 3D Technologies for Geospatial Solutions, ISPRS SPEC3D - Jyväskylä, Finland
Duration: 25 Oct 201727 Oct 2017
http://www.mit.jyu.fi/scoma/spec3d/
http://www.mit.jyu.fi/scoma/spec3d/
http://www.mit.jyu.fi/scoma/spec3d/

Publication series

NameInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
ISSN (Print)1682-1750

Workshop

WorkshopFrontiers in Spectral imaging and 3D Technologies for Geospatial Solutions, ISPRS SPEC3D
Abbreviated titleISPRS SPEC3D
CountryFinland
CityJyväskylä
Period25/10/1727/10/17
Internet address

Fingerprint

Imaging systems
Agriculture
agriculture
grass
Infrared radiation
water
Cameras
near infrared
wheat
Image sensors
Water
cereal
Crops
wavelength
remote sensing
Remote sensing
crop
Imaging techniques
cost
Wavelength

Keywords

  • Drone
  • Fabry-Perot
  • Forage quality estimation
  • Hyperspectral imaging
  • Microspectrometers
  • Water quality monitoring

Cite this

Saari, H., Akujärvi, A., Holmlund, C., Ojanen, H., Kaivosoja, J., Nissinen, A., & Niemeläinen, O. (2017). Visible, very near IR and short wave IR hyperspectral drone imaging system for agriculture and natural water applicationS. In E. Honkavaara, B. Hu, K. Karantzalos, X. Liang, R. Müller, E. Nocerino, I. Pölönen, ... P. Rönnholm (Eds.), Frontiers in Spectral imaging and 3D Technologies for Geospatial Solutions (pp. 165-170). International Society for Photogrammetry and Remote Sensing ISPRS. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol.. XLII-3W3 https://doi.org/10.5194/isprs-archives-XLII-3-W3-165-2017
Saari, H. ; Akujärvi, A. ; Holmlund, C. ; Ojanen, H. ; Kaivosoja, J. ; Nissinen, A. ; Niemeläinen, O. / Visible, very near IR and short wave IR hyperspectral drone imaging system for agriculture and natural water applicationS. Frontiers in Spectral imaging and 3D Technologies for Geospatial Solutions. editor / E. Honkavaara ; B. Hu ; K. Karantzalos ; X. Liang ; R. Müller ; E. Nocerino ; I. Pölönen ; P. Rönnholm. International Society for Photogrammetry and Remote Sensing ISPRS, 2017. pp. 165-170 (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XLII-3W3).
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Saari, H, Akujärvi, A, Holmlund, C, Ojanen, H, Kaivosoja, J, Nissinen, A & Niemeläinen, O 2017, Visible, very near IR and short wave IR hyperspectral drone imaging system for agriculture and natural water applicationS. in E Honkavaara, B Hu, K Karantzalos, X Liang, R Müller, E Nocerino, I Pölönen & P Rönnholm (eds), Frontiers in Spectral imaging and 3D Technologies for Geospatial Solutions. International Society for Photogrammetry and Remote Sensing ISPRS, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. XLII-3W3, pp. 165-170, Frontiers in Spectral imaging and 3D Technologies for Geospatial Solutions, ISPRS SPEC3D, Jyväskylä, Finland, 25/10/17. https://doi.org/10.5194/isprs-archives-XLII-3-W3-165-2017

Visible, very near IR and short wave IR hyperspectral drone imaging system for agriculture and natural water applicationS. / Saari, H.; Akujärvi, A.; Holmlund, C.; Ojanen, H.; Kaivosoja, J.; Nissinen, A.; Niemeläinen, O.

Frontiers in Spectral imaging and 3D Technologies for Geospatial Solutions. ed. / E. Honkavaara; B. Hu; K. Karantzalos; X. Liang; R. Müller; E. Nocerino; I. Pölönen; P. Rönnholm. International Society for Photogrammetry and Remote Sensing ISPRS, 2017. p. 165-170 (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XLII-3W3).

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

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AU - Kaivosoja, J.

AU - Nissinen, A.

AU - Niemeläinen, O.

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N2 - The accurate determination of the quality parameters of crops requires a spectral range from 400 nm to 2500 nm (Kawamura et al., 2010, Thenkabail et al., 2002). Presently the hyperspectral imaging systems that cover this wavelength range consist of several separate hyperspectral imagers and the system weight is from 5 to 15 kg. In addition the cost of the Short Wave Infrared (SWIR) cameras is high (~50 k€). VTT has previously developed compact hyperspectral imagers for drones and Cubesats for Visible and Very near Infrared (VNIR) spectral ranges (Saari et al., 2013, Mannila et al., 2013, Näsilä et al., 2016). Recently VTT has started to develop a hyperspectral imaging system that will enable imaging simultaneously in the Visible, VNIR, and SWIR spectral bands. The system can be operated from a drone, on a camera stand, or attached to a tractor. The targeted main applications of the DroneKnowledge hyperspectral system are grass, peas, and cereals. In this paper the characteristics of the built system are shortly described. The system was used for spectral measurements of wheat, several grass species and pea plants fixed to the camera mount in the test fields in Southern Finland and in the green house. The wheat, grass and pea field measurements were also carried out using the system mounted on the tractor. The work is part of the Finnish nationally funded “DroneKnowledge - Towards knowledge based export of small UAS remote sensing technology” project.

AB - The accurate determination of the quality parameters of crops requires a spectral range from 400 nm to 2500 nm (Kawamura et al., 2010, Thenkabail et al., 2002). Presently the hyperspectral imaging systems that cover this wavelength range consist of several separate hyperspectral imagers and the system weight is from 5 to 15 kg. In addition the cost of the Short Wave Infrared (SWIR) cameras is high (~50 k€). VTT has previously developed compact hyperspectral imagers for drones and Cubesats for Visible and Very near Infrared (VNIR) spectral ranges (Saari et al., 2013, Mannila et al., 2013, Näsilä et al., 2016). Recently VTT has started to develop a hyperspectral imaging system that will enable imaging simultaneously in the Visible, VNIR, and SWIR spectral bands. The system can be operated from a drone, on a camera stand, or attached to a tractor. The targeted main applications of the DroneKnowledge hyperspectral system are grass, peas, and cereals. In this paper the characteristics of the built system are shortly described. The system was used for spectral measurements of wheat, several grass species and pea plants fixed to the camera mount in the test fields in Southern Finland and in the green house. The wheat, grass and pea field measurements were also carried out using the system mounted on the tractor. The work is part of the Finnish nationally funded “DroneKnowledge - Towards knowledge based export of small UAS remote sensing technology” project.

KW - Drone

KW - Fabry-Perot

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Saari H, Akujärvi A, Holmlund C, Ojanen H, Kaivosoja J, Nissinen A et al. Visible, very near IR and short wave IR hyperspectral drone imaging system for agriculture and natural water applicationS. In Honkavaara E, Hu B, Karantzalos K, Liang X, Müller R, Nocerino E, Pölönen I, Rönnholm P, editors, Frontiers in Spectral imaging and 3D Technologies for Geospatial Solutions. International Society for Photogrammetry and Remote Sensing ISPRS. 2017. p. 165-170. (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XLII-3W3). https://doi.org/10.5194/isprs-archives-XLII-3-W3-165-2017