3D terrestrial laser scanning for field crop modelling

This page lists all metadata that was entered for this dataset. You can download the dataset.

Feature
Citation
Citation Options
Identification
Title:Main Title: 3D terrestrial laser scanning for field crop modelling
Descriptions:Abstract: Terrestrial laser scanning provides highly accurate and dense 3D measurements of an object. This technology leads to several applications, for example in topographic surveys, forestry, and as-built documentation. Few developments exist in the area of agriculture and precision farming. In this contribution, multi-temporal 3D terrestrial laser scanning was applied for field crop modelling. The time-of-flight laser scanner Riegl LMS-Z420i was used three to five times per year to estimate plant height distribution of the field crops winter wheat, spring barley, and sugar beet. In 2008 and 2009, the area under investigation was a single field. As a further development, data from plots with different crop varieties of barley and sugar beet were analysed in 2010. As a result, within-field variability was detected by using crop surface models (CSM) and crop volume models (CVM). Single plants were successfully detected. The results will be compared with additional data in the future.
Series Information: Proceedings on the Workshop of Remote Sensing Methods for Change Detection and Process Modelling, 18-19 November 2010, University of Cologne, Germany, Kölner Geographische Arbeiten, 92, pp. 25-30
Identifier:10.5880/TR32DB.KGA92.4 (DOI)
Related Resource:Is Part Of 0454-1294 (ISBN)
Citation Advice:Hoffmeister, D. et al., 2011. 3D terrestrial laser scanning for field crop modelling. In: Lenz-Wiedemann, V., Bareth, G. (Eds.), Proceedings on the Workshop of Remote Sensing Methods for Change Detection and Process Modelling. Geographisches Institut der Universität zu Köln (Kölner Geographische Arbeiten, 92), Cologne, Germany, 25-30. doi: 10.5880/TR32DB.KGA92.4
Responsible Party
Creators:Dirk Hoffmeister (Author), Constanze Curdt (Author), Nora Tilly (Author), Juliane Bendig (Author)
Contributors:Victoria Lenz-Wiedemann (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:2011
Topic
TR32 Topic:Other
Related Subproject:Z1
Subjects:Keywords: Agriculture, Crop/s, Terrestrial Laser Scanning, Surface, Remote Sensing
File Details
Filename:Hoffmeister_et_al_2011a_KGA92.pdf
Data Type:Text - Book Section
Sizes:11857 Kilobytes
6 Pages
File Size:11.6 MB
Dates:Created: 18.11.2010
Issued: 05.10.2011
Mime Type:application/pdf
Data Format:PDF
Language:English
Status:Completed
Constraints
Geographic
Specific Information - Publication
Publication Status:Published
Review Status:Not peer reviewed
Publication Type:Book Section
Book Title:Proceedings on the Workshop of Remote Sensing Methods for Change Detection and Process Modelling
Editors:Victoria Lenz-Wiedemann, Georg Bareth
Series Title:Kölner Geographische Arbeiten
City:Cologne, Germany
Volume:92
Number of Pages:6 (25 - 30)
Metadata Details
Metadata Creator:Constanze Curdt
Metadata Created:05.08.2013
Metadata Last Updated:11.05.2021
Subproject:Z1
Funding Phase:2
Metadata Language:English
Metadata Version:V50
Metadata Export
Metadata Schema:
Dataset Statistics
Page Visits:1016
Metadata Downloads:0
Dataset Downloads:8
Dataset Activity
Feature