Open Access

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2025-11-20
12:56
OpenAccess [FZJ-2025-04580] Poster (Other)
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Helmholtz Earth & Environment DataHub
Tag der Forschungsdaten in NRW 2025, RWTH AachenRWTH Aachen, Germany, 18 Nov 2025 - 18 Nov 20252025-11-182025-11-18 [10.34734/FZJ-2025-04580]
The digital ecosystem of the Helmholtz Earth & Environment DataHub features fully automatic ingestion technologies for time series data, joint data interfaces, such as the OGC SensorThings API, a joint metadata schema and powerful clients, such as the Earth Data Portal..
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2025-11-20
12:16

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2025-11-20
11:14
OpenAccess [FZJ-2025-04577] Journal Article
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Digital Transformation in Materials Science: A User Journey of Nanoindentation, Image Analysis and Simulations
A robust digital infrastructure, built upon overarching frameworks and software tools, is essential for the ongoing digital transformation in materials science and engineering. This user journey demonstrates the seamless integration of distinct technical solutions for data handling and analysis, enabling (a) the pursuit of a specific scientific question and (b) adherence to FAIR principles. [...]
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2025-11-18
10:17

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2025-11-18
10:13

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2025-11-18
09:38

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2025-11-18
09:12

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2025-11-18
09:09

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2025-11-18
07:14
OpenAccess [FZJ-2025-04535] Contribution to a conference proceedings/Contribution to a book
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Retrieval of Sun-Induced Plant Fluorescence in the O$_2$-A Absorption Band from DESIS Imagery
Computer Vision – ECCV 2024 Workshops / Del Bue, Alessio (Editor) ; Cham : Springer Nature Switzerland, 2025, Chapter 6 ; ISSN: 0302-9743=1611-3349 ; ISBN: 978-3-031-91834-6=978-3-031-91835-3 ; doi:10.1007/978-3-031-91835-3
ECCV 2024 Workshops, ECCV, MilanoMilano, Italy, 29 Sep 2024 - 30 Sep 20242024-09-292024-09-30
Cham : Springer Nature Switzerland, Lecture Notes in Computer Science 15625, 81 - 100 () [10.1007/978-3-031-91835-3_6]
We provide the first method allowing to retrieve spaceborne SIF maps at 30 m ground resolution with a strong correlation (r$^2$ = 0.6) to high-quality airborne estimates of sun-induced fluorescence (SIF) ̇SIF estimates can provide explanatory information for many tasks related to agricultural management and physiological studies. While SIF products from airborne platforms are accurate and spatially well resolved, the data acquisition of such products remains science-oriented and limited to temporally constrained campaigns [...]
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2025-11-17
13:53

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