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Grundwassermessstelle 4120642900045,

Die Messstelle 4120642900045 (Messstellen-Nr: 4120642900045, Bayern) dient der Überwachung des chemischen Zustands.

Grundwassermessstelle APP_GWMN_59

Dieser Datensatz beschreibt die Grundwassermessstelle APP_GWMN_59 in Schleswig-Holstein. Die Messstelle liegt im Grundwasserkörper ST06 : Stadt Kiel - östl. Hügelland. Es liegen insgesamt 30294 Messwerte vor. Es liegen außerdem 18 Probenentnahmen vor (siehe Resourcen).

Grundwassermessstelle 1132622900126,

Die Messstelle 1132622900126 (Messstellen-Nr: 1132622900126, Bayern) dient der Überwachung des chemischen Zustands.

Hydrochemistry, carbon dynamics, and calculated pCO2 and CO2 fluxes, and soil-derived natural organic matter characteristics from the White Main, a granitic headwater stream in Germany, 2023-2024 – Y1-Y3 carbon chemistry

This dataset comprises hydrochemical and soil data collected along the first 1.3 km downstream of the White Main spring in northern Bavaria, Germany, from March 2023 to April 2024. Stream water samples were analyzed for in-situ parameters (discharge, water temperature [°C], pH [-], redox potential [mV], electrical conductivity [µS/cm], Table Y1), and laboratory-measured parameters, including major ions and trace metals [mmol/L] (Table Y3), alkalinity [mmol/L], , dissolved inorganic and organic carbon (DIC, DOC [mmol/L]) and their stable isotope ratios (δ13CDIC/DOC ‰-VPDB). In addition, calculated partial pressure of CO2 (pCO2, [µatm]) and carbon dioxide fluxes (FCO2, [mmol/m2 d]), are provided for the stream water samples (Table Y2). The dataset also contains laboratory measurements related to soil-derived natural organic matter from acid and base soil extracts, including zeta potential ([mV], Table X1), particle size distribution ([%], Table X2), ultraviolet-visible absorbance (UV-VIS, Table X3), and fluorescence measurements (Table X4). UV-VIS (Table X5) and fluorescence measurements (Table X6) were additionally done for stream water samples. The datasets were collected to characterize hydrochemistry, carbon concentrations, carbon dioxide dynamics, and soil-derived organic matter properties in a granitic headwater stream and to provide a basis for reuse in studies of headwater biogeochemistry, carbon cycling, and soil-water interactions.

Fließgewässermessstelle Wegbr. 800m oh. Altheim, Aisch-Flutkanal

Die Messstelle Wegbr. 800m oh. Altheim (Messstellen-Nr: 114298) befindet sich im Gewässer Aisch-Flutkanal in Bayern. Die Messstelle dient der Überwachung des biologischen Zustands, des chemischen Zustands.

Grundwassermessstelle 4120623700023,

Die Messstelle 4120623700023 (Messstellen-Nr: 4120623700023, Bayern) dient der Überwachung des chemischen Zustands.

Grundwassermessstelle 1131754000067,

Die Messstelle 1131754000067 (Messstellen-Nr: 1131754000067, Bayern) dient der Überwachung des chemischen Zustands.

Grundwassermessstelle 1132774000203,

Die Messstelle 1132774000203 (Messstellen-Nr: 1132774000203, Bayern) dient der Überwachung des chemischen Zustands.

Fließgewässermessstelle Kaltmühle, Kalterbach

Die Messstelle Kaltmühle (Messstellen-Nr: 11180) befindet sich im Gewässer Kalterbach in Bayern. Die Messstelle dient der Überwachung des biologischen Zustands, des chemischen Zustands, des Grundwasserstands im oberen Grundwasserstockwerk.

Tree Species - Sentinel-1/2 - Germany, 2022

The Tree Species Germany product provides a map of dominant tree species across Germany for the year 2022 at a spatial resolution of 10 meters. The map depicts the distribution of ten tree species groups derived from multi-temporal optical Sentinel-2 data, radar data from Sentinel-1, and a digital elevation model. The input features explicitly incorporate phenological information to capture seasonal vegetation dynamics relevant for species discrimination. A total of over 80,000 training and test samples were compiled from publicly accessible sources, including urban tree inventories, Google Earth Pro, Google Street View, and field observations. The final classification was generated using an XGBoost machine learning algorithm. The Tree Species Germany product achieves an overall F1-score of 0.89. For the dominant species pine, spruce, beech, and oak, class-wise F1-scores range from 0.76 to 0.98, while F1-scores for other widespread species such as birch, alder, larch, Douglas fir, and fir range from 0.88 to 0.96. The product provides a consistent, high-resolution, and up-to-date representation of tree species distribution across Germany. Its transferable, cost-efficient, and repeatable methodology enables reliable large-scale forest monitoring and offers a valuable basis for assessing spatial patterns and temporal changes in forest composition in the context of ongoing climatic and environmental dynamics.

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