001047698 001__ 1047698
001047698 005__ 20251202203135.0
001047698 0247_ $$2doi$$a10.48565/BONNDOC-646
001047698 037__ $$aFZJ-2025-04464
001047698 041__ $$aEnglish
001047698 1001_ $$0P:(DE-Juel1)180929$$aChakhvashvili, Erekle$$b0$$eCorresponding author$$ufzj
001047698 245__ $$aRemote sensing of crop parameters using UAV-based multispectral imaging and radiative transfer models$$f - 2025-04-25
001047698 260__ $$bUniversitäts- und Landesbibliothek Bonn$$c2025
001047698 300__ $$a160
001047698 3367_ $$2DataCite$$aOutput Types/Dissertation
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001047698 3367_ $$02$$2EndNote$$aThesis
001047698 3367_ $$0PUB:(DE-HGF)11$$2PUB:(DE-HGF)$$aDissertation / PhD Thesis$$bphd$$mphd$$s1764659108_26216
001047698 3367_ $$2DRIVER$$adoctoralThesis
001047698 502__ $$aDissertation, University of Bonn, 2025$$bDissertation$$cUniversity of Bonn$$d2025
001047698 520__ $$aIn the face of climate change and a growing global population, it's important to increase the output of agricultural systems and improve crop resilience to challenging environmental conditions. Achieving these objectives requires monitoring crop health in the field, as well as breeding more resilient crop varieties. However, these tasks are labor-intensive and not economically sustainable. Remote sensing tools, such as uncrewed aerial vehicles (UAVs), have demonstrated their potential to successfully measure crop parameters while minimizing the need for human and financial resources. The mapping of crop parameters has been widely studied in both the satellite and UAV research communities. The UAV community typically uses data-driven and parametric models to predict crop parameters, while satellites rely on physical models called radiative transfer models (RTMs) to retrieve these variables. However a key drawback of using satellites is their low spatial and temporal resolution for applications in precision agriculture. This thesis explores the use of radiative transfer model PROSAIL to retrieve crop variables with UAVs and multispectral imaging. First, we examine the reflectance calibration workflows of the optical sensor, vital for time-series image analysis. We propose a multi-panel approach for calibrating reflectance of a multispectral sensor, which our analysis shown to perform better than the one-point calibration. Next we address the challenges of retrieving structural and biochemical variables in complex and homogeneous crop canopies. Our findings confirm that the higher spatial resolution provided by UAVs doesn't disrupt the fundamental assumptions of the PROSAIL, which was originally developed for simpler canopies. Finally, we investigate the sensor synergies for crop stress detection. In one study we explore the synergy between terrestrial laser scanner, multispectral imaging, and RTMs to track drought-induced leaf movement in soybean. We show that it's possible to track leaf orientation using just multispectral cameras. Another study discusses the challenges associated with using multiple sensors together to detect crop stress.
001047698 536__ $$0G:(DE-HGF)POF4-2171$$a2171 - Biological and environmental resources for sustainable use (POF4-217)$$cPOF4-217$$fPOF IV$$x0
001047698 536__ $$0G:(GEPRIS)390732324$$aDFG project G:(GEPRIS)390732324 - EXC 2070: PhenoRob - Robotik und Phänotypisierung für Nachhaltige Nutzpflanzenproduktion (390732324)$$c390732324$$x1
001047698 588__ $$aDataset connected to DataCite
001047698 650_7 $$2Other$$aUAV
001047698 650_7 $$2Other$$aremote sensing
001047698 650_7 $$2Other$$aRTMs
001047698 650_7 $$2Other$$acrop
001047698 650_7 $$2Other$$addc:630
001047698 7001_ $$0P:(DE-Juel1)129388$$aRascher, Uwe$$b1$$ufzj
001047698 773__ $$a10.48565/BONNDOC-646
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001047698 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)180929$$aForschungszentrum Jülich$$b0$$kFZJ
001047698 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)129388$$aForschungszentrum Jülich$$b1$$kFZJ
001047698 9131_ $$0G:(DE-HGF)POF4-217$$1G:(DE-HGF)POF4-210$$2G:(DE-HGF)POF4-200$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-2171$$aDE-HGF$$bForschungsbereich Erde und Umwelt$$lErde im Wandel – Unsere Zukunft nachhaltig gestalten$$vFür eine nachhaltige Bio-Ökonomie – von Ressourcen zu Produkten$$x0
001047698 9141_ $$y2025
001047698 9201_ $$0I:(DE-Juel1)IBG-2-20101118$$kIBG-2$$lPflanzenwissenschaften$$x0
001047698 980__ $$aphd
001047698 980__ $$aVDB
001047698 980__ $$aI:(DE-Juel1)IBG-2-20101118
001047698 980__ $$aUNRESTRICTED