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

    228 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.
    @article{26af01b08109425fa053c4f60f1beb2d,
    title = "Processing and assessment of spectrometric, stereoscopic imagery collected using a lightweight UAV spectral camera for precision agriculture",
    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.",
    keywords = "agriculture, biomass, dsm, hyperspectral, photogrammetry, point cloud, radiometry, spectrometry, uav",
    author = "E. Honkavaara and Heikki Saari and J. Kaivosoja and I. P{\"o}l{\"o}nen and T. Hakala and P. Litkey and Jussi M{\"a}kynen and L. Pesonen",
    year = "2013",
    doi = "10.3390/rs5105006",
    language = "English",
    volume = "5",
    pages = "5006--5039",
    journal = "Remote Sensing",
    issn = "2072-4292",
    publisher = "MDPI",
    number = "10",

    }

    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

    TY - JOUR

    T1 - Processing and assessment of spectrometric, stereoscopic imagery collected using a lightweight UAV spectral camera for precision agriculture

    AU - Honkavaara, E.

    AU - Saari, Heikki

    AU - Kaivosoja, J.

    AU - Pölönen, I.

    AU - Hakala, T.

    AU - Litkey, P.

    AU - Mäkynen, Jussi

    AU - Pesonen, L.

    PY - 2013

    Y1 - 2013

    N2 - 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.

    AB - 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.

    KW - agriculture

    KW - biomass

    KW - dsm

    KW - hyperspectral

    KW - photogrammetry

    KW - point cloud

    KW - radiometry

    KW - spectrometry

    KW - uav

    U2 - 10.3390/rs5105006

    DO - 10.3390/rs5105006

    M3 - Article

    VL - 5

    SP - 5006

    EP - 5039

    JO - Remote Sensing

    JF - Remote Sensing

    SN - 2072-4292

    IS - 10

    ER -