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dc.contributor.authorHonkavaara, E.
dc.contributor.authorHakala, T.
dc.contributor.authorMarkelin, L.
dc.contributor.authorJaakkola, A.
dc.contributor.authorSaari, H.
dc.contributor.authorOjanen, H.
dc.contributor.authorPölönen, Ilkka
dc.contributor.authorTuominen, S.
dc.contributor.authorNäsi, R.
dc.contributor.authorRosnell, T.
dc.contributor.authorViljanen, N.
dc.contributor.editorToth, C.
dc.contributor.editorHolm, T.
dc.contributor.editorJutzi, B.
dc.date.accessioned2015-02-06T09:32:44Z
dc.date.available2015-02-06T09:32:44Z
dc.date.issued2014
dc.identifier.citationHonkavaara, 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.), <i>The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences</i> (pp. 155-159). International Society for Photogrammetry and Remote Sensing (ISPRS). ISPRS Archives, XL-1. <a href="https://doi.org/10.5194/isprsarchives-XL-1-155-2014" target="_blank">https://doi.org/10.5194/isprsarchives-XL-1-155-2014</a>
dc.identifier.otherCONVID_24027619
dc.identifier.otherTUTKAID_63933
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/45250
dc.description.abstractThe 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.
dc.language.isoeng
dc.publisherInternational Society for Photogrammetry and Remote Sensing (ISPRS)
dc.relation.ispartofThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
dc.relation.ispartofseriesISPRS Archives
dc.subject.otherhyperspectral
dc.subject.otherblock
dc.subject.otherpoint cloud
dc.subject.otherradiometry
dc.subject.otherUAS
dc.titleAutonomous hyperspectral UAS photogrammetry for environmental monitoring applications
dc.typeconferenceObject
dc.identifier.urnURN:NBN:fi:jyu-201412083449
dc.contributor.laitosTietotekniikan laitosfi
dc.contributor.laitosDepartment of Mathematical Information Technologyen
dc.contributor.oppiaineTietotekniikkafi
dc.contributor.oppiaineMathematical Information Technologyen
dc.type.urihttp://purl.org/eprint/type/ConferencePaper
dc.date.updated2014-12-08T16:30:15Z
dc.type.coarhttp://purl.org/coar/resource_type/c_5794
dc.description.reviewstatuspeerReviewed
dc.format.pagerange155-159
dc.type.versionpublishedVersion
dc.rights.copyright© the Authors. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences are open accees publications, they are published under the Creative Common Attribution 3.0 License.
dc.rights.accesslevelopenAccessfi
dc.relation.conferenceISPRS Technical Commission I Symposium
dc.subject.ysofotogrammetria
dc.subject.ysokaukokartoitus
dc.subject.ysogeometria
dc.subject.ysokalibrointi
jyx.subject.urihttp://www.yso.fi/onto/yso/p2525
jyx.subject.urihttp://www.yso.fi/onto/yso/p2521
jyx.subject.urihttp://www.yso.fi/onto/yso/p8708
jyx.subject.urihttp://www.yso.fi/onto/yso/p13931
dc.rights.urlhttp://creativecommons.org/licenses/by-nc-nd/3.0/
dc.relation.doi10.5194/isprsarchives-XL-1-155-2014
dc.type.okmA4


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© the Authors. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences are open accees publications, they are published under the Creative Common Attribution 3.0 License.
Except where otherwise noted, this item's license is described as © the Authors. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences are open accees publications, they are published under the Creative Common Attribution 3.0 License.