TR32-Database: Database of Transregio 32

Data Description of DOI 10.5880/TR32DB.KGA94.2

All available information about this DOI are listed below. To view all metadata details, please use the corresponding button.

Citation:Bareth, Georg; Aasen, Helge; Bendig, Juliane; Gnyp, Martin Leon; Bolten, Andreas; Jung, Andras; Michels, Rene; Soukkamäki, Jussi (2014): Spectral comparison of low-weight and UAV-based hyperspectral frame cameras with portable spectroradiometer measurements. Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten. DOI: 10.5880/TR32DB.KGA94.2
Title(s):Main Title: Spectral comparison of low-weight and UAV-based hyperspectral frame cameras with portable spectroradiometer measurements
Description(s):Abstract: The non-destructive monitoring of crop growth status with field-based or tractor-based multi- or hyperspectral sensors is a common practice in precision agriculture. The demand for flexible, easy to use, and field scale systems in super-high resolution (<20 cm) or on single plant scale is given to provide in-field variability of crop growth status for management purposes. Satellite and airborne systems are usually not able to provide the spatial and temporal resolution for such purposes within a low-cost approach. The developments in the area of Unmanned Aerial Vehicles (UAV) seem to fill exactly that niche. In this contribution, we introduce two hyperspectral frame cameras weighing less than 1 kg which can be mounted to low-weight UAVs (<3 kg). The first results of a campaign in June 2013 are presented and the derived spectra from the hyperspectral images are compared to related spectra collected with a portable spectroradiometer. The results are promising.
Contributor(s):Editor: Bendig, Juliane, University of Cologne
Editor: Bareth, Georg, University of Cologne
Data Manager: Transregional Collaborative Research Centre 32, Meteorological Institute, University of Bonn
Hosting Institution: University of Cologne, Regional Computing Centre (RRZK)
Subject(s):CRC/TR32 Keywords: UAV, Agriculture, Crop/s, Hyperspectral, Imaging, Vegetation Index
DDC: 550 Earth sciences
Date(s):Issued: 2014-04-14
Language:English
Resource Type:Text/Workshop paper
Format:application/pdf
Size(s):6 Pages
1843 Kilobytes
Licence:Creative Commons Attribution 4.0 International (CC BY 4.0)
Contact:Constanze Curdt

TR32DB Metadata:

view metadata
Download:
download data