TR32-Database: Database of Transregio 32

[541] - 3D terrestrial laser scanning for field crop modelling

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

Features
Citation
Hoffmeister, D., Curdt, C., Tilly, N., Bendig, J., 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, Cologne, Germany, 25 - 30. DOI: 10.5880/TR32DB.KGA92.4.
Identification
Title(s):Main Title: 3D terrestrial laser scanning for field crop modelling
Description(s):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.
Identifier(s):DOI: 10.5880/TR32DB.KGA92.4
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
Creator(s):Author: Dirk Hoffmeister
Author: Constanze Curdt
Author: Nora Tilly
Author: Juliane Bendig
Publisher:Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten
Topic
TR32 Topic:Other
Subject(s):CRC/TR32 Keywords: Agriculture, Crop/s, Surface, Remote Sensing
File Details
File Name:Hoffmeister_et_al_2011a_KGA92.pdf
Data Type:Text
Size(s):6 Pages
File Size:11857 kB (11.579 MB)
Date(s):Created: 2010-11-18
Issued: 2011-10-05
Mime Type:application/pdf
Data Format:PDF
Language:English
Status:Completed
Constraints
Download Permission:Free
Licence:Creative Commons Attribution 4.0 International (CC BY 4.0)
Geographic
North:-no map data
East:-
South:-
West:-
Measurement Region:None
Measurement Location:--None--
Specific Informations - Publication
Status:Published
Review:NoPeerReview
Year:2011
Type:Book Section
Book Title:Proceedings on the Workshop of Remote Sensing Methods for Change Detection and Process Modelling
Book Editor:Lenz-Wiedemann, V., Bareth, G.
SeriesTitle:Kölner Geographische Arbeiten
City:Cologne, Germany
Volume:92
Number Of Pages:6
Page Range:25 - 30
Metadata Details
Metadata Creator:Dirk Hoffmeister
Metadata Created:2013-08-05
Metadata Last Updated:2013-08-05
Subproject:Z1
Funding Phase:2
Metadata Language:English
Metadata Version:V31
Dataset Metrics
Page Visits:279
Metadata Downloads:0
Dataset Downloads:8
Dataset Activity
Features