Multi-temporal Crop Surface Models derived from terrestrial laser scanning for accurate plant height measurement and biomass estimation of barley
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| Title: | Main Title: Multi-temporal Crop Surface Models derived from terrestrial laser scanning for accurate plant height measurement and biomass estimation of barley |
| 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. |
| Identifier: | 10.5880/TR32DB.KGA94.12 (DOI) |
| Citation Advice: | Tilly, N., Hoffmeister, D., Aasen, H., Brands, J., Bareth, G., 2014. Multi-temporal Crop Surface Models derived from terrestrial laser scanning for accurate plant height measurement and biomass estimation of barley. In: Bendig, J., Bareth, G. (Eds.): Proceedings of the Workshop on UAV-based Remote Sensing Methods for Monitoring Vegetation. Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten, Cologne, Germany, 83 - 91. |
Responsible Party
| Creators: | Nora Tilly (Author), Dirk Hoffmeister (Author), Helge Aasen (Author), Jonas Brands (Author), Georg Bareth (Author) |
| Contributors: | Juliane Bendig (Editor), Georg Bareth (Editor), Transregional Collaborative Research Centre 32 (Meteorological Institute, University of Bonn) (Data Manager), University of Cologne (Regional Computing Centre (RRZK)) (Hosting Institution) |
| Publisher: | Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten |
| Publication Year: | 2014 |
Topic
| TR32 Topic: | Remote Sensing |
| Related Subproject: | Z1 |
| Subjects: | Keywords: Agriculture, Biomass, Crop/s, Multi-Temporal, Terrestrial Laser Scanning DDC: 550 Earth sciences |
File Details
| Filename: | Tilly_et_al_2013_KGA94.pdf |
| Data Type: | Text - Book Section |
| Sizes: | 9 Pages 3262 Kilobytes |
| File Size: | 3.2 MB |
| Date: | Issued: 14.04.2014 |
| Mime Type: | application/pdf |
| Data Format: | |
| Language: | English |
| Status: | Completed |
Constraints
| Download Permission: | Free |
| General Access and Use Conditions: | According to the TR32DB data policy agreement. |
| Access Limitations: | According to the TR32DB data policy agreement. |
| Licence: | [Creative Commons] Attribution 4.0 International (CC BY 4.0) |
Geographic
Specific Information - Publication
| Publication Status: | Published |
| Review Status: | Not peer reviewed |
| Publication Type: | Book Section |
| Book Title: | Proceedings of the Workshop on UAV-based Remote Sensing Methods for Monitoring Vegetation |
| Editors: | Juliane Bendig, Georg Bareth |
| Series Title: | Kölner Geographische Arbeiten |
| Series Editor(s): | G. Bareth, B. Braun, H. Brückner, E. Brunotte, O. Bubenzer, F. Kraas, T. Mansfeldt, J. Nipper, U. Radtke, K. Schneider, G. Schweizer, D. Soyez, D.J. Werner |
| City: | Cologne, Germany |
| Volume: | 94 |
| Number of Pages: | 9 (83 - 91) |
Metadata Details
| Metadata Creator: | Constanze Curdt |
| Metadata Created: | 17.04.2014 |
| Metadata Last Updated: | 17.04.2014 |
| Subproject: | Z1 |
| Funding Phase: | 2 |
| Metadata Language: | English |
| Metadata Version: | V50 |
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| Page Visits: | 1765 |
| Metadata Downloads: | 0 |
| Dataset Downloads: | 57 |
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