Crop height variability detection in a single field by multi-temporal terrestrial laser scanning
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| Title: | Main Title: Crop height variability detection in a single field by multi-temporal terrestrial laser scanning |
| Description: | Abstract: Information on crop height, crop growth and biomass distribution is important for crop management and environmental modelling. For the determination of these parameters, terrestrial laser scanning in combination with real-time kinematic GPS (RTK– GPS) measurements was conducted in a multi-temporal approach in two consecutive years within a single field. Therefore, a time-of-flight laser scanner was mounted on a tripod. For georeferencing of the point clouds, all eight to nine positions of the laser scanner and several reflective targets were measured by RTK–GPS. The surveys were carried out three to four times during the growing periods of 2008 (sugar-beet) and 2009 (mainly winter barley). Crop surface models were established for every survey date with a horizontal resolution of 1 m, which can be used to derive maps of plant height and plant growth. The detected crop heights were consistent with observations from panoramic images and manual measurements (R² = 0.53, RMSE = 0.1 m). Topographic and soil parameters were used for statistical analysis of the detected variability of crop height and significant correlations were found. Regression analysis (R²<0.31) emphasized the uncertainty of basic relations between the selected parameters and crop height variability within one field. Likewise, these patterns compared with the normalized difference vegetation index (NDVI) derived from satellite imagery show only minor significant correlations (r <0.44). |
| Identifier: | 10.1007/s11119-015-9420-y (DOI) |
| Related Resource: | Is Part Of Text 10.3920/978-90-8686-778-3_31 (DOI) |
| Citation Advice: | Hoffmeister, D., Waldhoff, G., Korres, W., Curdt, C., Bareth, G., 2015. Crop height variability detection in a single field by multi-temporal terrestrial laser scanning. Precision Agriculture (in press). |
Responsible Party
| Creators: | Dirk Hoffmeister (Author), Guido Waldhoff (Author), Wolfgang Korres (Author), Constanze Curdt (Author), Georg Bareth (Author) |
| Publisher: | Springer |
| Publication Year: | 2015 |
Topic
| TR32 Topic: | Vegetation |
| Related Subproject: | Z1 |
| Subjects: | Keywords: Crop/s, Soil, Geomorphology, LIDAR |
| Geogr. Information Topic: | Farming |
File Details
| Filename: | publication_DH.pdf |
| Data Type: | Text - Article |
| Size: | 17 Pages |
| File Size: | 1.3 MB |
| Date: | Available: 29.10.2015 |
| Mime Type: | application/pdf |
| Data Format: | PDF (1.6) |
| Language: | English |
| Status: | Completed |
Constraints
| Download Permission: | Only Project Members |
| General Access and Use Conditions: | According to the TR32DB data policy agreement. |
| Access Limitations: | According to the TR32DB data policy agreement. |
| Licence: | [TR32DB] Data policy agreement |
Geographic
Specific Information - Publication
| Publication Status: | Published |
| Review Status: | Peer reviewed |
| Publication Type: | Article |
| Article Type: | Journal |
| Source: | Precision Agriculture |
| Issue: | 3 |
| Volume: | 17 |
| Number of Pages: | 17 (296 - 312) |
Metadata Details
| Metadata Creator: | Dirk Hoffmeister |
| Metadata Created: | 18.12.2015 |
| Metadata Last Updated: | 18.12.2015 |
| Subproject: | Z1 |
| Funding Phase: | 3 |
| Metadata Language: | English |
| Metadata Version: | V50 |
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Dataset Statistics
| Page Visits: | 887 |
| Metadata Downloads: | 0 |
| Dataset Downloads: | 2 |
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