001048364 001__ 1048364
001048364 005__ 20260108204821.0
001048364 0247_ $$2URN$$ahttps://nbn-resolving.org/urn:nbn:de:hbz:5-86026
001048364 0247_ $$2datacite_doi$$a10.34734/FZJ-2025-04584
001048364 037__ $$aFZJ-2025-04584
001048364 041__ $$aEnglish
001048364 1001_ $$0P:(DE-Juel1)190642$$aSalattna, Saja$$b0$$eCorresponding author
001048364 245__ $$aUAV-based Imaging of Multispectral Reflectance and Solar-Induced Chlorophyll Fluorescence for Crop Monitoring$$f - 2025-10-24
001048364 260__ $$c2025
001048364 300__ $$a129
001048364 3367_ $$2DataCite$$aOutput Types/Dissertation
001048364 3367_ $$2ORCID$$aDISSERTATION
001048364 3367_ $$2BibTeX$$aPHDTHESIS
001048364 3367_ $$02$$2EndNote$$aThesis
001048364 3367_ $$0PUB:(DE-HGF)11$$2PUB:(DE-HGF)$$aDissertation / PhD Thesis$$bphd$$mphd$$s1767870604_2526
001048364 3367_ $$2DRIVER$$adoctoralThesis
001048364 502__ $$aDissertation, Rheinische Friedrich-Wilhelms-Universität Bonn, 2025$$bDissertation$$cRheinische Friedrich-Wilhelms-Universität Bonn$$d2025$$o2025-10-10
001048364 520__ $$aThe agri-food sector is facing significant challenges due to climate change, unpredictable weather, and rapid population growth. The growing demand to embrace advanced agricultural systems that boost productivity while mitigating climate impacts requires accurate and reliable crop monitoring techniques. In this context, site-specific farm management and remote sensing have become indispensable. Remote sensing offers real-time information about crop growth and health throughout the growing season at different scales. UAV-based remote sensing, in particular, offers a cost-effective tool for monitoring crop growth and health with high spatiotemporal resolution that enables response to field-scale issues by driving informed decision-making. Our study contributes to this evolving landscape by exploring the potential of UAV-based multispectral imaging in crop monitoring on the field scale.In the first study, high-resolution imagery from the DJI Phantom 4 multispectral UAV system was employed to monitor the seasonal development of spelt in a biochar-enriched experiment. A straightforward data processing workflow was developed based on an empirical line method to convert raw UAV data to normalized and comparable reflectance maps and calculate various vegetation indices. Results indicated that EVI was the most effective index in relation to the actual yield, indicating better spelt development over the biochar-enriched plots with a full conventional fertilization amount compared to controls that received the same conventional fertilization.The second study addressed the retrieval of sun-induced fluorescence, F760, from SIFcam, a dual-camera system prototype mounted on a UAV. A comprehensive overview and advancements of the developed methodology for SIFcam imagery, in addition to a second innovative workflow, were presented. The F760 retrieved from the two workflows showed strong correlations with ground-based measurements (R² = 0.92) and moderate correlations with airborne imaging spectrometer HyPlant (R² = 0.56, 0.52 for workflows 1 and 2b, respectively). The SIFcam has shown its capability to effectively disentangle the fluorescence signal from canopy reflectance with a moderate level of accuracy and adequate stability in data collection at the field scale, with less than one-pixel variation between spectral channels in both horizontal and vertical directions.The third study investigated the potential of integrating SIFcam F760 alongside UAV-based multispectral VIs to characterize and delineate diverse new and old winter wheat cultivars. SIFcam demonstrated a notable potential in capturing the variability of F760 between wheat cultivars with structural and pigment differences. New wheat cultivars generally revealed higher F760, consistent with their higher chlorophyll content, yet old cultivar Banco indicated that canopy architecture could significantly modulate TOC F760, with F760 values comparable to or even exceeding those of certain new cultivars. VIs sensitive to chlorophyll content, particularly TCARI/OSAVI (Cohen's d >= 0.5), outperformed structure-related VIs and F760 for distinguishing the cultivars. SIFcam proved to be a valuable tool for field plant phenotyping and potentially guiding breeding programs.
001048364 536__ $$0G:(DE-HGF)POF3-582$$a582 - Plant Science (POF3-582)$$cPOF3-582$$fPOF III$$x0
001048364 536__ $$0G:(DE-HGF)POF4-2171$$a2171 - Biological and environmental resources for sustainable use (POF4-217)$$cPOF4-217$$fPOF IV$$x1
001048364 8564_ $$uhttps://juser.fz-juelich.de/record/1048364/files/PhD_Thesis_Salattna%20%281%29.pdf$$yOpenAccess
001048364 909CO $$ooai:juser.fz-juelich.de:1048364$$popenaire$$popen_access$$purn$$pdriver$$pVDB$$pdnbdelivery
001048364 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)190642$$aForschungszentrum Jülich$$b0$$kFZJ
001048364 9131_ $$0G:(DE-HGF)POF3-582$$1G:(DE-HGF)POF3-580$$2G:(DE-HGF)POF3-500$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bKey Technologies$$lKey Technologies for the Bioeconomy$$vPlant Science$$x0
001048364 9131_ $$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$$vFür eine nachhaltige Bio-Ökonomie – von Ressourcen zu Produkten$$x1
001048364 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
001048364 920__ $$lno
001048364 9201_ $$0I:(DE-Juel1)IBG-2-20101118$$kIBG-2$$lPflanzenwissenschaften$$x0
001048364 9801_ $$aFullTexts
001048364 980__ $$aphd
001048364 980__ $$aVDB
001048364 980__ $$aUNRESTRICTED
001048364 980__ $$aI:(DE-Juel1)IBG-2-20101118