Multi-temporal Crop Surface Models derived from terrestrial laser scanning for accurate plant height measurement and biomass estimation of barley
dc.contributor.author
Tilly, Nora
dc.contributor.author
Hoffmeister, Dirk
dc.contributor.author
Aasen, Helge
dc.contributor.author
Brands, Jonas
dc.contributor.author
Bareth, Georg
dc.contributor.editor
Bendig, Juliane
dc.contributor.editor
Bareth, Georg
dc.date.accessioned
2018-05-09T07:15:45Z
dc.date.available
2018-05-08T16:50:54Z
dc.date.available
2018-05-09T07:15:45Z
dc.date.issued
2014
dc.identifier.issn
0454-1294
dc.identifier.other
10.5880/tr32db.kga94.12
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/263232
dc.identifier.doi
10.3929/ethz-b-000263232
dc.description.abstract
Research in the field of precision agriculture is becoming increasingly important due to the growing world population whilst area for cultivation remains constant or declines. In this context, methods of monitoring in?season plant development with high resolution and accuracy are necessary. Studies show that terrestrial laser scanning (TLS) can be applied to capture small objects like crops. In this contribution, the results of multi-temporal field campaigns with the terrestrial laser scanner Riegl LMS-Z420i are shown. Four surveys were carried out in the growing period 2012 on a field experiment where various barley varieties were cultivated in small-scale plots. In order to measure the plant height above ground, the TLS-derived point clouds are interpolated to generate Crop Surface Models with a very high resolution of 1 cm. For all campaigns, a common reference surface, representing the Digital Elevation Model was used to monitor plant height in the investigated period. Manual plant height measurements were carried out to verify the results. The very high coefficients of determination (R² = 0.89) between both measurement methods show the applicability of the approach presented. Furthermore, destructive biomass sampling was performed to investigate the relation to plant height. Biomass is an important parameter for evaluating the actual crop status, but non-destructive methods of directly measuring crop biomass do not exist. Hence, other parameters like reflectance are considered. The focus of this study is on non-destructive measurements of plant height. The high coefficients of determination between plant height and fresh as well as dry biomass (R² = 0.80, R² = 0.77) support the usability of plant height as a predictor. The study presented here demonstrates the applicability of TLS in monitoring plant height development with a very high spatial resolution.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Geographisches Institut der Universität zu Köln
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.subject
Agriculture
en_US
dc.subject
Biomass
en_US
dc.subject
Crop/s
en_US
dc.subject
Multi-Temporal
en_US
dc.subject
Terrestrial Laser Scanning
en_US
dc.subject
550 Earth sciences
en_US
dc.title
Multi-temporal Crop Surface Models derived from terrestrial laser scanning for accurate plant height measurement and biomass estimation of barley
en_US
dc.type
Conference Paper
dc.rights.license
Creative Commons Attribution 4.0 International
dc.date.published
2014-04-14
ethz.book.title
Proceedings of the Workshop on UAV-based Remote Sensing Methods for Monitoring Vegetation
en_US
ethz.journal.title
Kölner geographische Arbeiten
ethz.journal.volume
94
en_US
ethz.journal.abbreviated
Köln. Geogr. Arb.
ethz.pages.start
83
en_US
ethz.pages.end
91
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.event
Workshop on UAV-basaed Remote Sensing Methods for Monitoring Vegetation
en_US
ethz.event.location
Cologne, Germany
en_US
ethz.event.date
September 9-10, 2013
en_US
ethz.identifier.nebis
010235015
ethz.publication.place
Köln
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02350 - Dep. Umweltsystemwissenschaften / Dep. of Environmental Systems Science::02703 - Institut für Agrarwissenschaften / Institute of Agricultural Sciences::03894 - Walter, Achim / Walter, Achim
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02350 - Dep. Umweltsystemwissenschaften / Dep. of Environmental Systems Science::02703 - Institut für Agrarwissenschaften / Institute of Agricultural Sciences::03894 - Walter, Achim / Walter, Achim
en_US
ethz.date.deposited
2018-05-08T16:50:54Z
ethz.source
FORM
ethz.eth
no
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2018-05-09T07:15:53Z
ethz.rosetta.lastUpdated
2020-02-15T12:51:41Z
ethz.rosetta.versionExported
true
ethz.COinS
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