Universität zu Köln

Jenal, Alexander, Lussem, Ulrike, Bolten, Andreas, Gnyp, Martin Leon ORCID: 0000-0002-5702-4914, Schellberg, Juergen, Jasper, Joerg, Bongartz, Jens and Bareth, Georg (2020). Investigating the Potential of a Newly Developed UAV-based VNIR/SWIR Imaging System for Forage Mass Monitoring. PFG-J. Photogramm. Remote Sens. Geoinf. Sci., 88 (6). S. 493 - 508. CHAM: SPRINGER INTERNATIONAL PUBLISHING AG. ISSN 2512-2819

Full text not available from this repository.

Abstract

Remote sensing systems based on unmanned aerial vehicles (UAVs) are well suited for airborne monitoring of small to medium-sized farmland in agricultural applications. An imaging system is often used in the form of a multispectral multicamera system to derive well-established vegetation indices (VIs) efficiently. This study investigates the potential of such a multi-camera system with a novel approach to extend spectral sensitivity from visible-to-near-infrared (VNIR) to short-wave infrared (SWIR) (400-1700 nm) for estimating forage mass from an aerial carrier platform. The system test was performed in a grassland fertilizer trial in Germany near Cologne in late July 2019. Within 37 min, a spectral response in four different wavelength bands in the NIR and SWIR range was acquired during two consecutive flights. Spectral image data were calibrated to reflectance using two different methods. The resulting reflectance data sets were processed to orthomosaics for each wavelength band. From these orthomosaics for both calibration methods, the four-band NIR/SWIR GnyLi VI and the two-band NIR/SWIR Normalized Ratio Index (NRI), were calculated. During both UAV flights, spectral ground truth data were recorded with a spectroradiometer on 12 plots in total for validation of camera-based spectral data. The camera and spectroradiometer data sets were directly compared in resulting reflectance and further analyzed with simple linear regression (SLR) models to predict dry matter (DM) yield. In the camera-based SLRs, the NRI performed best with R-2 of 0.73 and 0.75 (RMSE: 0.18 and 0.17) before the GnyLi with R-2 of 0.71 and 0.73 (RMSE: 0.19 and 0.18). These results clearly indicate the potential of the camera system for applications in forage mass monitoring.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Jenal, Alexander UNSPECIFIED UNSPECIFIED UNSPECIFIED Lussem, Ulrike UNSPECIFIED UNSPECIFIED UNSPECIFIED Bolten, Andreas UNSPECIFIED UNSPECIFIED UNSPECIFIED Gnyp, Martin Leon UNSPECIFIED orcid.org/0000-0002-5702-4914 UNSPECIFIED Schellberg, Juergen UNSPECIFIED UNSPECIFIED UNSPECIFIED Jasper, Joerg UNSPECIFIED UNSPECIFIED UNSPECIFIED Bongartz, Jens UNSPECIFIED UNSPECIFIED UNSPECIFIED Bareth, Georg UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-314160
DOI:	10.1007/s41064-020-00128-7
Journal or Publication Title:	PFG-J. Photogramm. Remote Sens. Geoinf. Sci.
Volume:	88
Number:	6
Page Range:	S. 493 - 508
Date:	2020
Publisher:	SPRINGER INTERNATIONAL PUBLISHING AG
Place of Publication:	CHAM
ISSN:	2512-2819
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 EMPIRICAL LINE METHOD; RISING PLATE METER; VEGETATION INDEXES; RADIOMETRIC CALIBRATION; UNMANNED AIRCRAFT; PLANT HEIGHT; BIOMASS; REFLECTANCE; QUALITY; SPECTROSCOPY Multiple languages Remote Sensing; Imaging Science & Photographic Technology Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/31416