SIFMap: A Python toolbox for creating Solar-induced fluorescence maps from UAV-borne snapshot imaging data - test datasetdoi:10.26165/JUELICH-DATA/2KDXULJülich DATA2026-07-271Buffat, Jim; Bendig, Juliane; Elibol, Armagan; Scharr, Hanno; Choza Farias, Sofia; Salattna, Saja, 2026, "SIFMap: A Python toolbox for creating Solar-induced fluorescence maps from UAV-borne snapshot imaging data - test dataset", https://doi.org/10.26165/JUELICH-DATA/2KDXUL, Jülich DATA, V1SIFMap: A Python toolbox for creating Solar-induced fluorescence maps from UAV-borne snapshot imaging data - test datasetdoi:10.26165/JUELICH-DATA/2KDXULBuffat, JimBendig, JulianeElibol, ArmaganScharr, HannoChoza Farias, SofiaSalattna, SajaJülich DATABuffat, JimBending, JulianeGrygosch, Lars2026-07-27Agricultural SciencesThis dataset consists of SIFcam raw data, radiance, reflectance and solar-induced chlorophyll fluorescence (SIF) acquired at Campus Klein-Altendorf in 2021 and 2024. This work was partially funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy – EXC 2070 – 390732324.CC0 Waiver01_dataset_240608_ReadMe.txttext/plain02_dataset_kneer_et_al_ReadMe.txttext/plain