TR32-Database: Database of Transregio 32

[1205] - Crop height variability detection in a single field 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., 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, 17 (3), 296 - 312. DOI: 10.1007/s11119-015-9420-y.
Identification
Title(s):Main Title: Crop height variability detection in a single field by multi-temporal terrestrial laser scanning
Description(s):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(s):DOI: 10.1007/s11119-015-9420-y
Relation(s):Conforms To: DOI: 10.3920/978-90-8686-778-3_31
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
Creator(s):Author: Dirk Hoffmeister
Author: Guido Waldhoff
Author: Wolfgang Korres
Author: Constanze Curdt
Author: Georg Bareth
Publisher:Springer
Topic
TR32 Topic:Vegetation
Related Sub-project(s):Z1
Subject(s):CRC/TR32 Keywords: Crop/s, Soil, Geomorphology, LIDAR
Topic Category:Farming
File Details
File Name:publication_DH.pdf
Data Type:Text
Size(s):17 Pages
File Size:1334 kB (1.303 MB)
Date(s):Available: 2015-10-29
Mime Type:application/pdf
Data Format:PDF (1.6)
Language:English
Status:Completed
Constraints
Download Permission:OnlyTR32
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
North:50.8686094
East:6.4512999
South:50.8631923
West:6.4427168
Measurement Region:Ellebach
Measurement Location:Selhausen
Specific Informations - Publication
Status:Published
Review:PeerReview
Year:2015
Type:Article
Article Type:Journal
Source:Precision Agriculture
Issue:3
Volume:17
Number Of Pages:17
Page Range:296 - 312
Metadata Details
Metadata Creator:Dirk Hoffmeister
Metadata Created:2015-12-18
Metadata Last Updated:2015-12-18
Subproject:Z1
Funding Phase:3
Metadata Language:English
Metadata Version:V41
Dataset Metrics
Page Visits:203
Metadata Downloads:0
Dataset Downloads:2
Dataset Activity
Features