Universität zu Köln

Jenal, Alexander ORCID: 0000-0002-1890-4839, Kneer, Caspar ORCID: 0000-0002-2570-7788, Weber, Immanuel ORCID: 0000-0002-5150-9697, Asgari, Maryam, Knieps, Michel and Bongartz, Jens (2022). An Adaptive Sensor Framework for Gyrocopter-Based Optical Remote Sensing: Introduction and Applications. PFG-J. Photogramm. Remote Sens. Geoinf. Sci., 90 (2). S. 93 - 102. CHAM: SPRINGER INT PUBL AG. ISSN 2512-2819

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Abstract

Airborne remote sensing with optical sensor systems is an essential tool for a variety of environmental monitoring applications. Depending on the size of the area to be monitored, either unmanned (UAVs) or manned aircraft are more suitable. For survey areas starting at several square kilometers, piloted aircraft remain the preferred carrier platform. However, a specific class of manned aircraft is often not considered: the gyrocopter-type ultralight aircraft. These aircraft are less expensive to operate than conventional fixed wings. Additionally, they are highly maneuverable, offer a high payload and a long endurance, and thus perfectly fill the niche between UAVs and conventional aircraft. Therefore, the authors have developed a modular and easy-to-use sensor carrier system, the FlugKit, to temporarily convert an AutoGyro MTOsport gyrocopter into a full-fledged aerial remote sensing platform mainly for vegetation monitoring. Accordingly, various suitable optical sensor systems in the visible (VIS), near-infrared (NIR), and longwave infrared (LWIR) were explicitly developed for this carrier system. This report provides a deeper insight into the individual components of this remote sensing solution based on a gyrocopter as well as application scenarios already carried out with the system.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Jenal, Alexander UNSPECIFIED orcid.org/0000-0002-1890-4839 UNSPECIFIED Kneer, Caspar UNSPECIFIED orcid.org/0000-0002-2570-7788 UNSPECIFIED Weber, Immanuel UNSPECIFIED orcid.org/0000-0002-5150-9697 UNSPECIFIED Asgari, Maryam UNSPECIFIED UNSPECIFIED UNSPECIFIED Knieps, Michel UNSPECIFIED UNSPECIFIED UNSPECIFIED Bongartz, Jens UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-672975
DOI:	10.1007/s41064-021-00187-4
Journal or Publication Title:	PFG-J. Photogramm. Remote Sens. Geoinf. Sci.
Volume:	90
Number:	2
Page Range:	S. 93 - 102
Date:	2022
Publisher:	SPRINGER INT PUBL AG
Place of Publication:	CHAM
ISSN:	2512-2819
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language Remote Sensing; Imaging Science & Photographic Technology Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/67297