<?xml version='1.0' encoding='UTF-8'?><metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns="http://dublincore.org/documents/dcmi-terms/"><dcterms:title>SIFMap: A Python toolbox for creating Solar-induced fluorescence maps from UAV-borne snapshot imaging data - test dataset</dcterms:title><dcterms:identifier>https://doi.org/10.26165/JUELICH-DATA/2KDXUL</dcterms:identifier><dcterms:creator>Buffat, Jim</dcterms:creator><dcterms:creator>Bendig, Juliane</dcterms:creator><dcterms:creator>Elibol, Armagan</dcterms:creator><dcterms:creator>Scharr, Hanno</dcterms:creator><dcterms:creator>Choza Farias, Sofia</dcterms:creator><dcterms:creator>Salattna, Saja</dcterms:creator><dcterms:publisher>Jülich DATA</dcterms:publisher><dcterms:issued>2026-07-27</dcterms:issued><dcterms:modified>2026-07-27T07:12:43Z</dcterms:modified><dcterms:description>This dataset consists of SIFcam raw data, radiance, reflectance and solar-induced chlorophyll fluorescence (SIF) acquired at Campus Klein-Altendorf in 2021 and 2024.&#xd;
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This work was partially funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy – EXC 2070 – 390732324.</dcterms:description><dcterms:subject>Agricultural Sciences</dcterms:subject><dcterms:isReferencedBy>url, https://github.com/IAS-8/SIFMap</dcterms:isReferencedBy><dcterms:contributor>Grygosch, Lars</dcterms:contributor><dcterms:dateSubmitted>2026-07-27</dcterms:dateSubmitted><dcterms:license>CC0</dcterms:license><dcterms:rights>CC0 Waiver</dcterms:rights></metadata>