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).
    @inproceedings{e0dee0152e244d8fb6da74bdb9819453,
    title = "Autonomous hyperspectral UAS photogrammetry for environmental monitoring applications",
    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.",
    keywords = "photogrammetry, remote sensing, hyperspectral, block, point cloud, geometry, radiometry, calibration, UAS",
    author = "E. Honkavaara and T. Hakala and L. Markelin and A. Jaakkola and H. Saari and H. Ojanen and I. P{\"o}l{\"o}nen and S. Tuominen and R. N{\"a}si and T. Rosnell and N. Viljanen",
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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

    TY - GEN

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    AU - Honkavaara, E.

    AU - Hakala, T.

    AU - Markelin, L.

    AU - Jaakkola, A.

    AU - Saari, H.

    AU - Ojanen, H.

    AU - Pölönen, I.

    AU - Tuominen, S.

    AU - Näsi, R.

    AU - Rosnell, T.

    AU - Viljanen, N.

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    N2 - 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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    KW - photogrammetry

    KW - remote sensing

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    KW - block

    KW - point cloud

    KW - geometry

    KW - radiometry

    KW - calibration

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    DO - 10.5194/isprsarchives-XL-1-155-2014

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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