Bert Palm
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Digital Ecosystem for Time Series Data Management in Earth System Science Open
Understanding and managing the Earth System requires sustainable, interdisciplinary approaches to data accessibility, integration, and processing. To address these challenges, we present a modular and scalable digital ecosystem designed to…
View article: Characterizing and Implementing the Hamamatsu C12880MA Mini-Spectrometer for Near-Surface Reflectance Measurements of Inland Waters
Characterizing and Implementing the Hamamatsu C12880MA Mini-Spectrometer for Near-Surface Reflectance Measurements of Inland Waters Open
In recent decades, inland water remote sensing has seen growing interest and very strong development. This includes improved spatial resolution, increased revisiting times, advanced multispectral sensors and recently even hyperspectral sen…
SaQC: Empowering Hydrological Data Integrity through Automated Quality Control   Open
Global and regional hydrological databases, as well as domain-agnostic repositories, play a crucial role in advancing scientific research and decision-making processes. With new and existing data infrastructures such as TERENO and eLTER, a…
Advancing Data Management: A Novel Digital Ecosystem for FAIR Time Series Data Management in Earth System Sciences Open
Robust infrastructures for managing and accessing high volume data are an essential foundation for unraveling complex spatiotemporal processes in the earth system sciences. Addressing multifaceted research questions demands data from diver…
System for automated Quality Control (SaQC) to enable traceable and reproducible data streams in environmental science Open
Environmental sensor networks produce continuously increasing volumes of raw data that need to be transformed into usable data for monitoring ongoing environmental changes and decision-support. The crucial challenge is providing data in re…
Reproducible quality control of time series data with SaQC Open
Environmental sensor networks produce ever-growing volumes of time series data with great potential to broaden the understanding of complex spatiotemporal environmental processes. However, this growth also imposes its own set of new challe…
From source to sink - Sustainable and reproducible data pipelines with SaQC Open
The number of sensors used in the environmental system sciences is increasing rapidly, and while this trend undoubtedly provides a great potential to broaden the understanding of complex spatio-temporal processes, it comes with its own set…