Position accuracy assessment of a uav-mounted sequoia+ multispectral camera using a robotic total station

Simple item page
dc.contributor.authorParaforos, Dimitrios S.
dc.contributor.authorSharipov, Galibjon M.
dc.contributor.authorHeiß, Andreas
dc.contributor.authorGriepentrog, Hans W.
dc.date.accessioned2024-10-23T12:25:41Z
dc.date.available2024-10-23T12:25:41Z
dc.date.issued2022de
dc.description.abstractRemote sensing data in agriculture that are originating from unmanned aerial vehicles (UAV)-mounted multispectral cameras offer substantial information in assessing crop status, as well as in developing prescription maps for site-specific variable rate applications. The position accuracy of the multispectral imagery plays an important role in the quality of the final prescription maps and how well the latter correspond to the specific spatial characteristics. Although software products and developed algorithms are important in offering position corrections, they are time- and cost-intensive. The paper presents a methodology to assess the accuracy of the imagery obtained by using a mounted target prism on the UAV, which is tracked by a ground-based total station. A Parrot Sequoia+ multispectral camera was used that is widely utilized in agriculture-related remote sensing applications. Two sets of experiments were performed following routes that go along the north–south and east–west axes, while the cross-track error was calculated for all three planes, but also three-dimensional (3D) space. From the results, it was indicated that the camera’s D-GNSS receiver can offer imagery with a 3D position accuracy of up to 3.79 m, while the accuracy in the horizontal plane is higher compared to the vertical ones.en
dc.identifier.swb1808534271
dc.identifier.urihttps://hohpublica.uni-hohenheim.de/handle/123456789/16765
dc.identifier.urihttps://doi.org/10.3390/agriculture12060885
dc.language.isoengde
dc.rights.licensecc_byde
dc.source2077-0472de
dc.sourceAgriculture; Vol. 12, No. 6 (2022) 885de
dc.subjectTotal station
dc.subjectDrone
dc.subjectMultispectral imagery
dc.subject3D positioning
dc.subjectCross-track error
dc.subject.ddc630
dc.titlePosition accuracy assessment of a uav-mounted sequoia+ multispectral camera using a robotic total stationen
dc.type.diniArticle
dcterms.bibliographicCitationAgriculture, 12 (2022), 6, 885. https://doi.org/10.3390/agriculture12060885. ISSN: 2077-0472
dcterms.bibliographicCitation.issn2077-0472
dcterms.bibliographicCitation.issue6
dcterms.bibliographicCitation.journaltitleAgriculture
dcterms.bibliographicCitation.volume12
local.export.bibtex@article{Paraforos2022, url = {https://hohpublica.uni-hohenheim.de/handle/123456789/16765}, doi = {10.3390/agriculture12060885}, author = {Paraforos, Dimitrios S. and Sharipov, Galibjon M. and Heiß, Andreas et al.}, title = {Position Accuracy Assessment of a UAV-Mounted Sequoia+ Multispectral Camera Using a Robotic Total Station}, journal = {Agriculture}, year = {2022}, volume = {12}, number = {6}, }
local.export.bibtexAuthorParaforos, Dimitrios S. and Sharipov, Galibjon M. and Heiß, Andreas et al.
local.export.bibtexKeyParaforos2022
local.export.bibtexType@article

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
agriculture-12-00885.pdf
Size:
8.3 MB
Format:
Adobe Portable Document Format
Download

Collections

Institut für Agrartechnik