Investigating the Potential of a Newly Developed UAV-based VNIR/SWIR Imaging System for Forage Mass Monitoring
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ORIGINAL ARTICLE
Investigating the Potential of a Newly Developed UAV‑based VNIR/ SWIR Imaging System for Forage Mass Monitoring Alexander Jenal1 · Ulrike Lussem2 · Andreas Bolten2 · Martin Leon Gnyp3 · Jürgen Schellberg4 · Jörg Jasper3 · Jens Bongartz1 · Georg Bareth2 Received: 20 June 2020 / Accepted: 18 September 2020 © The Author(s) 2020
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 R2 of 0.73 and 0.75 (RMSE: 0.18 and 0.17) before the GnyLi with R2 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. Keywords Short-wave infrared (SWIR) · Unmanned aerial vehicle (UAV) · Precision agriculture · Forage mass · Grassland · Biomass Zusammenfassung Untersuchung des Potenzials eines neu entwickelten UAV-basierten VNIR/SWIR-Bildgebungssystems zum Monitoring von Futtermasse. Fernerkundungssensoren auf UAV-Plattformen eignen sich gut für das Monitoring von kleinen bis mittelgroßen landwirtschaftlichen Anbauflächen aus der Luft. Als bildgebende Systeme werden oft multispektrale Multikamerasysteme verwendet, um allgemein anerkannte Vegetationsindizes effizient abzuleiten. Diese Studie untersucht das Potenzial eines solchen Mehrkamerasystems mit einem neuartigen Ansatz zur Erweiterung der spektralen Empfindlichkeit vom sichtbaren und nah-infraroten Bereich (VNIR) bis zum kurzwelligen Infrarot (SWIR) (400 – 1700 nm), um Futtermasse von einer luftgestützten Trägerplattform aus abzuschätzen. Die Untersuchung wurde Ende Juli 20
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