TR32-Database: Database of Transregio 32

[860] - Multi-temporal Crop Surface Models derived from terrestrial laser scanning for accurate plant height measurement and biomass estimation of barley

All available metadata of the dataset are listed below. Some features are available, e.g. download of dataset or additional description file.

Features
Citation
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. DOI: 10.5880/TR32DB.KGA94.12.
Identification
Title(s):Main Title: Multi-temporal Crop Surface Models derived from terrestrial laser scanning for accurate plant height measurement and biomass estimation of barley
Description(s):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(s):DOI: 10.5880/TR32DB.KGA94.12
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
Creator(s):Author: Nora Tilly
Author: Dirk Hoffmeister
Author: Helge Aasen
Author: Jonas Brands
Author: Georg Bareth
Publisher:Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten
Topic
TR32 Topic:Remote Sensing
Subject(s):CRC/TR32 Keywords: Agriculture, Biomass, Crop/s, Multi-Temporal, Terrestrial Laser Scanning
File Details
File Name:Tilly_et_al_2013_KGA94.pdf
Data Type:Text
Size(s):9 Pages
File Size:3262 kB (3.186 MB)
Date(s):Issued: 2014-04-14
Mime Type:application/pdf
Data Format:PDF
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
North:-no map data
East:-
South:-
West:-
Measurement Region:NorthRhine-Westphalia
Measurement Location:--NorthRhine-Westphalia--
Specific Informations - Publication
Status:Published
Review:NoPeerReview
Year:2014
Type:Book Section
Book Title:Proceedings of the Workshop on UAV-based Remote Sensing Methods for Monitoring Vegetation
Book Editor:Bendig, J., Bareth, G.
SeriesTitle:Kölner Geographische Arbeiten
Series Editor: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
Page Range:83 - 91
Metadata Details
Metadata Creator:Tanja Kramm
Metadata Created:2014-04-17
Metadata Last Updated:2014-04-17
Subproject:Z1
Funding Phase:2
Metadata Language:English
Metadata Version:V40
Dataset Metrics
Page Visits:522
Metadata Downloads:0
Dataset Downloads:44
Dataset Activity
Features