001     1033976
005     20241214210608.0
037 _ _ |a FZJ-2024-06812
041 _ _ |a English
100 1 _ |a Buffat, Jim
|0 P:(DE-Juel1)188104
|b 0
|e Corresponding author
245 _ _ |a A Multi-Layer Perceptron Approach for SIF Retrieval in the O2-A Absorption band from Hyperspectral Imagery of the HyPlant Airborne Sensor System
260 _ _ |c 2024
336 7 _ |a Preprint
|b preprint
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336 7 _ |a WORKING_PAPER
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336 7 _ |a Electronic Article
|0 28
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336 7 _ |a preprint
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336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a Output Types/Working Paper
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520 _ _ |a Accurate estimation of solar-induced fluorescence (SIF) from passively sensedhyperspectral remote sensing data has been identified as instrumental in assessingthe photosynthetic activity of plants for various scientific and ecologicalapplications at various spatial scales. Different techniques to derive SIFhave been developed over the last decades. In view of ESA’s upcoming EarthExplorer satellite mission FLEX aiming to provide high-quality global imageryfor SIF retrieval an increased interest is placed in physical approaches.We present a novel method to retrieve SIF in the O2-A absorption band ofhyperspectral imagery acquired by the HyPlant sensor system. It aims at atight integration of physical radiative transfer principles and self-supervisedneural network training. To this end, a set of spatial and spectral constraintsand a specific loss formulation are adopted. In a validation study we find goodagreement between our approach and established retrieval methods as wellas with in-situ top-of-canopy SIF measurements. In two application studies,we additionally find evidence that the estimated SIF (i) satisfies a first-ordermodel of diurnal SIF variation and (ii) locally adapts the estimated opticaldepth in topographically variable terrain.
536 _ _ |a 5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs) and Research Groups (POF4-511)
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536 _ _ |a 2173 - Agro-biogeosystems: controls, feedbacks and impact (POF4-217)
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588 _ _ |a Dataset connected to CrossRef
700 1 _ |a Pato, Miguel
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700 1 _ |a Alonso, Kevin
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700 1 _ |a Auer, Stefan
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700 1 _ |a Carmona, Emiliano
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700 1 _ |a Maier, Stefan
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700 1 _ |a Müller, Rupert
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700 1 _ |a Rademske, Patrick
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700 1 _ |a Siegmann, Bastian
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700 1 _ |a Rascher, Uwe
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700 1 _ |a Scharr, Hanno
|0 P:(DE-Juel1)129394
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909 C O |o oai:juser.fz-juelich.de:1033976
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910 1 _ |a Forschungszentrum Jülich
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913 1 _ |a DE-HGF
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|v Enabling Computational- & Data-Intensive Science and Engineering
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913 1 _ |a DE-HGF
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914 1 _ |y 2024
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)IAS-8-20210421
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980 _ _ |a preprint
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980 _ _ |a I:(DE-Juel1)IAS-8-20210421
980 _ _ |a I:(DE-Juel1)IBG-2-20101118
980 _ _ |a UNRESTRICTED


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