TR32-Database: Database of Transregio 32

[725] - 3D change detection of different sugar-beet types by multi-temporal terrestrial laser scanning

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., Bareth, G., 2011. 3D change detection of different sugar-beet types by multi-temporal terrestrial laser scanning.Proc. of Int. Symposium on remote sensing and GIS methods for change detection and spatio-temporal modelling, December 15 - 16, 2011, Hong Kong, China, 1 - 5.
Identification
Title(s):Main Title: 3D change detection of different sugar-beet types by multi-temporal terrestrial laser scanning
Description(s):Abstract: Terrestrial laser scanning (TLS) as a highly accurate method for 3D measurements is mostly applied in research areas as topography, forestry or 3D-documentation of buildings or cities. In this contribution, multi-temporal terrestrial laser scanning is successfully applied to detect 3D crop growth changes over time. Four different sugar-beet varieties were continuously surveyed in regular intervals. These specific cultivars were chosen according to their contrasting canopy habit and drought stress tolerance. This paper describes the method of establishing Crop Surface Models (CSM) by terrestrial laser scanning and their application. An initial digital elevation model and comparisons with digital surface models of later crop stages leads to Crop Surface Models, which represent the accurate heights within each sugar-beet plot. Spatial variability within each plot is detectable and has been revised by manual measurements and pictures. Point data for every single plant can be established by taking into account the intensity values of each point measured. These points can be connected to the Crop Surface Models. Mean heights for all plots are compared to biomass and LAI measurements. An initially good correlation between mean height and dry biomass (R²=0.71) at the first measurements is not maintained during the growing period due to root growth and the complex structures of sugar-beet leaves over time. Thus, mean Terrestrial laser scanning (TLS) as a highly accurate method for 3D measurements is mostly applied in research areas as topography, forestry or 3D-documentation of buildings or cities. In this contribution, multi-temporal terrestrial laser scanning is successfully applied to detect 3D crop growth changes over time. Four different sugar-beet varieties were continuously surveyed in regular intervals. These specific cultivars were chosen according to their contrasting canopy habit and drought stress tolerance. This paper describes the method of establishing Crop Surface Models (CSM) by terrestrial laser scanning and their application. An initial digital elevation model and comparisons with digital surface models of later crop stages leads to Crop Surface Models, which represent the accurate heights within each sugar-beet plot. Spatial variability within each plot is detectable and has been revised by manual measurements and pictures. Point data for every single plant can be established by taking into account the intensity values of each point measured. These points can be connected to the Crop Surface Models. Mean heights for all plots are compared to biomass and LAI measurements. An initially good correlation between mean height and dry biomass (R²=0.71) at the first measurements is not maintained during the growing period due to root growth and the complex structures of sugar-beet leaves over time. Thus, mean canopy height seems to be less suitable for biomass estimations in sugar beet.
Responsible Party
Creator(s):Author: Dirk Hoffmeister
Author: Constanze Curdt
Author: Nora Tilly
Author: Juliane Bendig
Author: Georg Bareth
Publisher:-
Topic
TR32 Topic:Remote Sensing
Subject(s):CRC/TR32 Keywords: Terrestrial Laser Scanning, Sugar Beet, Multi-Temporal, Surface, Crop/s
File Details
File Name:2011_Hoffmeister_CDSM.pdf
Data Type:Text
Size(s):5 Pages
File Size:2048 kB (2 MB)
Date(s):Issued: 2011-12-15
Mime Type:application/pdf
Data Format:PDF
Language:English
Status:Completed
Constraints
Download Permission:OnlyTR32
General Access and Use Conditions:For internal use only
Access Limitations:For internal use only
Licence:TR32DB Data policy agreement
Geographic
North:-no map data
East:-
South:-
West:-
Measurement Region:None
Measurement Location:--None--
Specific Informations - Publication
Status:Published
Review:PeerReview
Year:2011
Type:Event Paper
Number Of Pages:5
Page Range:1 - 5
Event Name:Int. Symposium on remote sensing and GIS methods for change detection and spatio-temporal modelling
Event Type:Conference
Event Location:Hong Kong, China
Event Period:15th of December, 2011 - 16th of December, 2011
Metadata Details
Metadata Creator:Dirk Hoffmeister
Metadata Created:2013-12-05
Metadata Last Updated:2013-12-05
Subproject:Z1
Funding Phase:2
Metadata Language:English
Metadata Version:V40
Dataset Metrics
Page Visits:134
Metadata Downloads:0
Dataset Downloads:1
Dataset Activity
Features