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Part 1: Document Description
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Citation |
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Title: |
SIFMap: A Python toolbox for creating Solar-induced fluorescence maps from UAV-borne snapshot imaging data - test dataset |
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Identification Number: |
doi:10.26165/JUELICH-DATA/2KDXUL |
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Distributor: |
Jülich DATA |
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Date of Distribution: |
2026-07-27 |
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Version: |
1 |
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Bibliographic Citation: |
Buffat, 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, V1 |
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Citation |
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Title: |
SIFMap: A Python toolbox for creating Solar-induced fluorescence maps from UAV-borne snapshot imaging data - test dataset |
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Identification Number: |
doi:10.26165/JUELICH-DATA/2KDXUL |
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Authoring Entity: |
Buffat, Jim (IAS-8) |
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Bendig, Juliane (IBG-2) |
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Elibol, Armagan (IAS-8) |
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Scharr, Hanno (IAS-8) |
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Choza Farias, Sofia (IBG-2) |
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Salattna, Saja (IBG-2) |
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Distributor: |
Jülich DATA |
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Access Authority: |
Buffat, Jim |
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Access Authority: |
Bending, Juliane |
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Depositor: |
Grygosch, Lars |
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Date of Deposit: |
2026-07-27 |
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Study Scope |
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Keywords: |
Agricultural Sciences |
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Abstract: |
This 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. |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Notes: |
CC0 Waiver |
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Other Study Description Materials |
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Label: |
01_dataset_240608_ReadMe.txt |
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Notes: |
text/plain |
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Label: |
02_dataset_kneer_et_al_ReadMe.txt |
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Notes: |
text/plain |