3D change detection of different sugar-beet types by multi-temporal terrestrial laser scanning
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| Title: | Main Title: 3D change detection of different sugar-beet types by multi-temporal terrestrial laser scanning |
| Description: | 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
| Creators: | Dirk Hoffmeister (Author), Constanze Curdt (Author), Nora Tilly (Author), Juliane Bendig (Author), Georg Bareth (Author) |
| Publisher: | - |
| Publication Year: | 2013 |
Topic
| TR32 Topic: | Remote Sensing |
| Related Subproject: | Z1 |
| Subjects: | Keywords: Terrestrial Laser Scanning, Sugar Beet, Multi-Temporal, Surface, Crop/s |
File Details
| Filename: | 2011_Hoffmeister_CDSM.pdf |
| Data Type: | Text - Event Paper |
| Size: | 5 Pages |
| File Size: | 2 MB |
| Date: | Issued: 15.12.2011 |
| Mime Type: | application/pdf |
| Data Format: | |
| Language: | English |
| Status: | Completed |
Constraints
| Download Permission: | Only Project Members |
| General Access and Use Conditions: | For internal use only |
| Access Limitations: | For internal use only |
| Licence: | [TR32DB] Data policy agreement |
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Specific Information - Publication
| Publication Status: | Published |
| Review Status: | Peer reviewed |
| Publication Type: | Event Paper |
| Number of Pages: | 5 (1 - 5) |
| Event: | Int. Symposium on remote sensing and GIS methods for change detection and spatio-temporal modelling |
| Event Type: | Conference |
| Event Location: | Hong Kong, China |
| Event Duration: | 15th of December, 2011 - 16th of December, 2011 |
Metadata Details
| Metadata Creator: | Dirk Hoffmeister |
| Metadata Created: | 05.12.2013 |
| Metadata Last Updated: | 05.12.2013 |
| Subproject: | Z1 |
| Funding Phase: | 2 |
| Metadata Language: | English |
| Metadata Version: | V50 |
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| Page Visits: | 814 |
| Metadata Downloads: | 0 |
| Dataset Downloads: | 1 |
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