Universität zu Köln

Jenal, Alexander, Bareth, Georg, Bolten, Andreas, Kneer, Caspar, Weber, Immanuel and Bongartz, Jens (2019). Development of a VNIR/SWIR Multispectral Imaging System for Vegetation Monitoring with Unmanned Aerial Vehicles. Sensors, 19 (24). BASEL: MDPI. ISSN 1424-8220

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Abstract

Short-wave infrared (SWIR) imaging systems with unmanned aerial vehicles (UAVs) are rarely used for remote sensing applications, like for vegetation monitoring. The reasons are that in the past, sensor systems covering the SWIR range were too expensive, too heavy, or not performing well enough, as, in contrast, it is the case in the visible and near-infrared range (VNIR). Therefore, our main objective is the development of a novel modular two-channel multispectral imaging system with a broad spectral sensitivity from the visible to the short-wave infrared spectrum (approx. 400 nm to 1700 nm) that is compact, lightweight and energy-efficient enough for UAV-based remote sensing applications. Various established vegetation indices (VIs) for mapping vegetation traits can then be set up by selecting any suitable filter combination. The study describes the selection of the individual components, starting with suitable camera modules, the optical as well as the control and storage parts. Special bandpass filters are used to select the desired wavelengths to be captured. A unique flange system has been developed, which also allows the filters to be interchanged quickly in order to adapt the system to a new application in a short time. The characterization of the system was performed in the laboratory with an integrating sphere and a climatic chamber. Finally, the integration of the novel modular VNIR/SWIR imaging system into a UAV and a subsequent first outdoor test flight, in which the functionality was tested, are described.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Jenal, Alexander UNSPECIFIED UNSPECIFIED UNSPECIFIED Bareth, Georg UNSPECIFIED UNSPECIFIED UNSPECIFIED Bolten, Andreas UNSPECIFIED UNSPECIFIED UNSPECIFIED Kneer, Caspar UNSPECIFIED UNSPECIFIED UNSPECIFIED Weber, Immanuel UNSPECIFIED UNSPECIFIED UNSPECIFIED Bongartz, Jens UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-124841
DOI:	10.3390/s19245507
Journal or Publication Title:	Sensors
Volume:	19
Number:	24
Date:	2019
Publisher:	MDPI
Place of Publication:	BASEL
ISSN:	1424-8220
Language:	English
Faculty:	Faculty of Mathematics and Natural Sciences
Divisions:	Faculty of Mathematics and Natural Sciences > Department of Geosciences > Geographisches Institut
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language MAPPING SYSTEM; PLANT HEIGHT; INDEXES; UAV; CAMERAS; BIOMASS; SPECTROSCOPY; FLUORESCENCE; REFLECTANCE; CALIBRATION Multiple languages Chemistry, Analytical; Engineering, Electrical & Electronic; Instruments & Instrumentation Multiple languages
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/12484