Assessment of grapevine leaf and canopy vigour properties by quadrocopter-carried VIS/NIR multispectral camera
This page lists the DOI metadata that was entered for this dataset. You can download the dataset.
The full metadata can be seen here.
Feature
Citation
Citation Options
Identification
Title: | Main Title: Assessment of grapevine leaf and canopy vigour properties by quadrocopter-carried VIS/NIR multispectral camera |
Description: | Abstract: Four soil management modalities (quadruplicate, 2010-2011) were assayed to determine their impacts on grapevine physiology and wine quality: Wolff mixture (1), natural greening (2), rotating harrow with winter greening (3) and natural greening with disturbance in dry conditions (4). The chlorophyll content was monitored monthly in 2011 and 2012 between June and September by optical measurement using the Dualex 4 (Force A, Paris, France) device. The field work in August was accomplished by a multi-angular flight campaign using a quadrocopter (md4-1000, microdrones GmbH) equipped with a six band VIS/NIR multispectral camera (MiniMCA-6). Bidirectional canopy reflectance was measured at three angles. In 2012, four flight campaigns were carried out throughout the grapevine season and compared to in-situ measurements of physiological factors. It was found that all four soil management modalities could be significantly discriminated using the MiniMCA-6 data. Discrimination was better for oblique viewing directions compared with nadir view, since the former configuration allows capturing a bigger canopy fraction in the image compared to nadir direction. Furthermore, leaf sampling and measurements for the calibration data set were not carried out in the upper leaf layer, which is almost exclusively visible in nadir view. A similar effect of the viewing directions was found for the quantification of chlorophyll content, and other leaf/canopy properties using stepwise multivariate regression: also here spectral data from the oblique directions led to most accurate regression models. |
Identifier: | 10.5880/TR32DB.KGA94.11 (DOI) |
Responsible Party
Creators: | Rebecca Retzlaff (Author), Daniel Molitor (Author), Marc Behr (Author), Tom Wantzenrieder (Author), Lucien Hoffmann (Author), Daniele Evers (Author), Thomas Udelhoven (Author) |
Contributors: | Juliane Bendig (Editor), Georg Bareth (Editor), Transregional Collaborative Research Centre 32 (Meteorological Institute, University of Bonn) (Data Manager), University of Cologne (Regional Computing Centre (RRZK)) (Hosting Institution) |
Publisher: | Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten |
Publication Year: | 2014 |
Topic
Subjects: | Keywords: Chlorophyll, UAV, NDVI, Leaf Chlorophyll Content, Canopy, Canopy Photosynthesis DDC: 550 Earth sciences |
File Details
Filename: | Retzlaff_et_al_2013_KGA94.pdf |
Data Type: | Text - Book Section |
Sizes: | 8 Pages 1126 Kilobytes |
File Size: | 1.1 MB |
Date: | Issued: 14.04.2014 |
Mime Type: | application/pdf |
Language: | English |
Constraints
Download Permission: | Free |
Licence: | [Creative Commons] Attribution 4.0 International (CC BY 4.0) |
Geographic
Metadata Details
Metadata Creator: | Constanze Curdt |
Metadata Created: | 17.04.2014 |
Metadata Last Updated: | 17.04.2014 |
Subproject: | Z1 |
Funding Phase: | 2 |
Metadata Language: | English |
Metadata Version: | V50 |
Metadata Export
Metadata Schema: |
Dataset Statistics
Page Visits: | 720 |
Metadata Downloads: | 0 |
Dataset Downloads: | 59 |
Dataset Activity
Feature
By downloading this dataset you accept the license terms of [Creative Commons] Attribution 4.0 International (CC BY 4.0) and TR32DB Data Protection Statement
Adequate reference when this dataset will be discussed or used in any publication or presentation is mandatory. In this case please contact the dataset creator.
Adequate reference when this dataset will be discussed or used in any publication or presentation is mandatory. In this case please contact the dataset creator.