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WMS ALKIS - Hausumringe Land Bremen

Darstellungsdienst Web Map Service (WMS) ALKIS - Hausumringe Land Bremen stellt georeferenzierte Gebäudeadressen aus ALKIS für die Freie Hansestadt Bremen (FHB) bereit.

INSPIRE HE Adressen Hauskoordinaten

Der Datenbestand enthält aus Hauskoordinaten abgeleitete Daten für das INSPIRE-Thema Adressen gemäß INSPIRE-Datenspezifikation.

WFS ALKIS - Gebäudeadressen Land Bremen

Downloaddienst Web Feature Service (WFS) ALKIS - Gebäudeadressen Land Bremen stellt georeferenzierte Gebäudeadressen aus ALKIS für die Freie Hansestadt Bremen (FHB) bereit.

WMS ALKIS - Gebäudeadressen Land Bremen

Darstellungsdienst Web Map Service (WMS) ALKIS - Gebäudeadressen Land Bremen stellt georeferenzierte Gebäudeadressen aus ALKIS für die Freie Hansestadt Bremen (FHB) bereit.

INSPIRE ST Adressen Hauskoordinaten

INSPIRE-Datensatz zum Annex1-Thema Adressen für das Bundesland Sachsen-Anhalt. Der Datensatz wurde aus den Daten der Hauskoordinaten abgeleitet und INSPIRE-konform transformiert.

INSPIRE-WMS SL Adressen Hauskoordinaten - INSPIRE SL Adressen Hauskoordinaten

Dieser Dienst stellt für das INSPIRE-Thema Adressen aus Hauskoordinaten umgesetzte Daten bereit.:Diese Layerzusammenstellung visualisiert die saarländischen Adressen abgeleitet aus den Hauskoordinaten des ALKIS Datenbestandes. Die Datengrundlage erfüllt die INSPIRE Datenspezifikation.

INSPIRE-WMS HB Adressen Hauskoordinaten

Dieser Dienst stellt für das INSPIRE-Thema Adressen aus Hauskoordinaten umgesetzte Daten bereit.

Städtische Ökosystemgebiete W-VO

Bundeseinheitliche Empfehlung von BMUKN und BMWSB zur Abgrenzung städtischer Ökosystemgebiete (Stadtzentren, städtische Räume und durchschnittene Ortslagen) zur Konkretisierung des Art. 8 W-VO Der Datensatz wird als WFS durch das Bundesamt für Naturschutz bereitgestellt.

Soil moisture, soil matric potential, meteorological variables, sap flow, and irrigation measurements during an irrigation study in two apple orchards in Pinios Hydrologic Observatory, Greece, from 2020 to 2022.

Two irrigated apple orchards, S09 and S10, within the Pinios Hydrologic Observatory in Thessaly, Greece were equipped with an extensive sensor network to study irrigation management. Soil moisture dynamics (including soil matric potential), irrigation water consumption, meteorological variables and sap flow were monitored between September 2020 and Dec 2022. In each field, an Atmos41 all-in-one weather station (Meter Group AG, Munich, Germany) was installed close to the centre of the field above the tree canopy. The instruments provided measurements of precipitation, air temperature, relative humidity, solar radiation, wind speed, and atmospheric pressure. Furthermore, each field was equipped with a SoilNet wireless sensor network consisting of 12 nodes. Each node was equipped with six SMT100 (Truebner GmbH, Neustadt, Germany) installed at 5, 20, and 50 cm depth, in two separate profiles to measure soil moisture as well as two TEROS21 soil matric potential sensors (METER Group Inc., Pullman, USA) installed at 20 cm depth. Additionally, S10 was equipped with six SFM-1 sapflow sensors (ICT International Pty Ltd, Armidale, Australia) to estimate whole-tree transpiration. The sapflow sensors were installed on the trunk of six trees to represent, as much as possible, the orchard trees in terms of height, perimeter, vigor and apple variety. Lastly, in May 2021 seven TW-N flowmeters (TECNIDRO, Genova, Italy) were installed in different irrigation sectors within the orchards (three in S09 and four in S10) to measure field-scale irrigation water consumption. All data is provided at a daily timescale.

Dataset of "COSMOS-Europe: A European network of Cosmic-Ray Neutron Soil Moisture Sensors" Revision #1

Here we provide the revised (rev1 from 20.03.2024) dataset for COSMOS-Europe: A European network of Cosmic-Ray Neutron Soil Moisture Sensors. The dataset contains soil moisture data from 65 cosmic-ray neutron sensors (CRNS) in Europe. The CRNS stations cover all major land use types and climate zones within Europe. Raw neutron count data from the CRNS stations were provided by 23 research institutions and processed using state-of-the-art methods. The harmonized processing included correction of the raw neutron counts and a harmonized methodology for conversion to soil moisture based on available in situ information. In addition, information on data uncertainty was added to the dataset, which is particularly useful for remote sensing and modeling applications. This harmonized European soil moisture dataset will help both the hydrological and climatic communities to study individual drought events, understand their causes, evaluate and improve their modeling, and estimate the extremity of current events.

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