Autonomous hyperspectral UAS photogrammetry for environmental monitoring applications

E. Honkavaara (Corresponding author), T. Hakala, L. Markelin, A. Jaakkola, H. Saari, H. Ojanen, I. Pölönen, S. Tuominen, R. Näsi, T. Rosnell, N. Viljanen

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

7 Citations (Scopus)

Abstract

The unmanned airborne system (UAS) remote sensing using lightweight multi- and hyperspectral imaging sensors offer new possibilities for the environmental monitoring applications. Based on the accurate measurements of the way in which the object reflect and emit energy, wide range of affecting variables can be monitored. Condition for reliable applications is reliable and accurate input data. In many applications, installation of geometric and radiometric reference targets in the object area is challenging, for instance, in forest or water areas. On the other hand, UASs are often operated in very poor conditions, under clouds or under variable cloud cover. Our objective is to develop an autonomous hyperspectral UAS imaging system and data processing chain that does not require any ground reference targets. Prerequisites for this kind of a system are an appropriate sensor setup, stable and wellcalibrated instruments and rigorous data processing. In this paper, we will describe the new hyperspectral UAS imaging system that is under development. Important applications for the proposed system include precision agriculture, forest monitoring and water quality monitoring. Finally, we will consider the use of the system in forest inventory application and present the first results of the summer 2014 campaigns.
Original languageEnglish
Title of host publicationISPRS Technical Commission I Symposium
EditorsC. Toth, T. Holm, B. Jutzi
PublisherInternational Society for Photogrammetry and Remote Sensing ISPRS
Pages155-159
DOIs
Publication statusPublished - 2014
MoE publication typeA4 Article in a conference publication
EventISPRS Technical Commission I Symposium - Denver, Colorado, United States
Duration: 17 Nov 201420 Nov 2014

Publication series

SeriesInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
VolumeXL-1
ISSN1682-1750

Conference

ConferenceISPRS Technical Commission I Symposium
CountryUnited States
CityDenver, Colorado
Period17/11/1420/11/14

Fingerprint

photogrammetry
environmental monitoring
sensor
precision agriculture
forest inventory
monitoring
cloud cover
remote sensing
water quality
summer
energy
water

Keywords

  • photogrammetry
  • remote sensing
  • hyperspectral
  • block
  • point cloud
  • geometry
  • radiometry
  • calibration
  • UAS

Cite this

Honkavaara, E., Hakala, T., Markelin, L., Jaakkola, A., Saari, H., Ojanen, H., ... Viljanen, N. (2014). Autonomous hyperspectral UAS photogrammetry for environmental monitoring applications. In C. Toth, T. Holm, & B. Jutzi (Eds.), ISPRS Technical Commission I Symposium (pp. 155-159). International Society for Photogrammetry and Remote Sensing ISPRS. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol.. XL-1 https://doi.org/10.5194/isprsarchives-XL-1-155-2014
Honkavaara, E. ; Hakala, T. ; Markelin, L. ; Jaakkola, A. ; Saari, H. ; Ojanen, H. ; Pölönen, I. ; Tuominen, S. ; Näsi, R. ; Rosnell, T. ; Viljanen, N. / Autonomous hyperspectral UAS photogrammetry for environmental monitoring applications. ISPRS Technical Commission I Symposium. editor / C. Toth ; T. Holm ; B. Jutzi. International Society for Photogrammetry and Remote Sensing ISPRS, 2014. pp. 155-159 (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XL-1).
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abstract = "The unmanned airborne system (UAS) remote sensing using lightweight multi- and hyperspectral imaging sensors offer new possibilities for the environmental monitoring applications. Based on the accurate measurements of the way in which the object reflect and emit energy, wide range of affecting variables can be monitored. Condition for reliable applications is reliable and accurate input data. In many applications, installation of geometric and radiometric reference targets in the object area is challenging, for instance, in forest or water areas. On the other hand, UASs are often operated in very poor conditions, under clouds or under variable cloud cover. Our objective is to develop an autonomous hyperspectral UAS imaging system and data processing chain that does not require any ground reference targets. Prerequisites for this kind of a system are an appropriate sensor setup, stable and wellcalibrated instruments and rigorous data processing. In this paper, we will describe the new hyperspectral UAS imaging system that is under development. Important applications for the proposed system include precision agriculture, forest monitoring and water quality monitoring. Finally, we will consider the use of the system in forest inventory application and present the first results of the summer 2014 campaigns.",
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Honkavaara, E, Hakala, T, Markelin, L, Jaakkola, A, Saari, H, Ojanen, H, Pölönen, I, Tuominen, S, Näsi, R, Rosnell, T & Viljanen, N 2014, Autonomous hyperspectral UAS photogrammetry for environmental monitoring applications. in C Toth, T Holm & B Jutzi (eds), ISPRS Technical Commission I Symposium. International Society for Photogrammetry and Remote Sensing ISPRS, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. XL-1, pp. 155-159, ISPRS Technical Commission I Symposium, Denver, Colorado, United States, 17/11/14. https://doi.org/10.5194/isprsarchives-XL-1-155-2014

Autonomous hyperspectral UAS photogrammetry for environmental monitoring applications. / Honkavaara, E. (Corresponding author); Hakala, T.; Markelin, L.; Jaakkola, A.; Saari, H.; Ojanen, H.; Pölönen, I.; Tuominen, S.; Näsi, R.; Rosnell, T.; Viljanen, N.

ISPRS Technical Commission I Symposium. ed. / C. Toth; T. Holm; B. Jutzi. International Society for Photogrammetry and Remote Sensing ISPRS, 2014. p. 155-159 (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XL-1).

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

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AU - Ojanen, H.

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AU - Rosnell, T.

AU - Viljanen, N.

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Honkavaara E, Hakala T, Markelin L, Jaakkola A, Saari H, Ojanen H et al. Autonomous hyperspectral UAS photogrammetry for environmental monitoring applications. In Toth C, Holm T, Jutzi B, editors, ISPRS Technical Commission I Symposium. International Society for Photogrammetry and Remote Sensing ISPRS. 2014. p. 155-159. (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XL-1). https://doi.org/10.5194/isprsarchives-XL-1-155-2014