Standorte der Schafhalter im Landkreis Diepholz
Standorte der Gehegewildhalter im Landkreis Diepholz
This product consists of global gap free Leaf area index (LAI) time series, based on MERIS full resolution Level 1B data. It is produced as a series of 10-day composites in geographic projection at 300m spatial resolution. The processing chain comprises geometric correction, radiometric correction and pixel identification, LAI calculation with the BEAM MERIS vegetation processor, re-projection to a global grid, and temporal aggregation selecting the measurement closest to the mean value. After the LAI pre-processing we applied time series analysis to fill data gaps and filter outliers using the technique of harmonic analysis in combination with mean annual and multiannual phenological data. Data gaps are caused by clouds, sensor limitations due to the solar zenith angle (less than 10 degrees), topography and intermittent data reception. We applied our technique for the whole period of observation (Jul 2002 - Mar 2012). Validation, was performed using VALERI and BigFoot data.
Description: Spatial and seasonal distributions of selected species of seabirds in the German Bight. Data source: TOPAS-Windobs Datenbank + TOPAS-FTZobs Datenbank. These are data from Environmental Impact Assessments (EIS) and monitoring studies under the permit procedures of BSH in the North Sea EEZ and research data of the FTZ. Data collection: Ship-based and aircraft-based transect counts. The basis of all ship-based seabird counts is the standardized method described by Tasker et al. (1984) and Garthe et al. (2002). Following this method, seabirds within a transect strip of known length and width were recorded. Thus the number of birds per area (density) can be calculated. Seabird counts from aircrafts are described in Diederichs et al. (2002). It is also a transect based method. Time periods: Ship: June 2000 to Aug. 2013, aircraft: March 2002 to June 2013. Data analysis: Based on all survey years; for each species (or species group) and each species-specific season the mean density [individuals/km²] per raster cell is calculated as "the sum of the counted seabirds divided by the sum of the survey effort inside the raster cell". Species specific correction factors were used for the calculation of the density (Garthe et al. 2007, 2009; Markones and Garthe 2012). For divers separate correction factors were calculated for each single data collection team and then combined into a weighted average. Product description: Vector raster with "3 km x 5 km" raster cells (EPSG 3035). WMS: classification by mean density (5 ranges), visualization by graduated symbols. Bibliography see: ftp://ftp.bsh.de/outgoing/gdi-bsh/public/M/M5/docs/Seebirds_density_bibliography.htm For more information, please visit: https://data.bsh.de/Spatial_Data/Aufmod_Bathymetries/DocumentationMorphologieCSV_EN.pdf https://data.bsh.de/Spatial_Data/Aufmod_Bathymetries/DokumentationMorphologieCSV_DE.pdf
Spatial and temporal distribution of noise emissions due to pile driving during the foundation of wind turbines in offshore projects in the German Exclusive Economic Zone EEZ. Source of data: MarinEARS Noise Registry (Marine Explorer and Registry of Sound); visit https://marinears.bsh.de Description of data: Start and end date of the construction phase with noise emissions due to pile driving during the foundation of wind turbines, per area of offshore wind farm visualized by coloration.
In this service, information on underwater obstacles is presented, which is available in the "Deutsches Unterwasserhindernisauskunftssystem" (DUWHAS) of the BSH. The data are displayed according to the symbolisation of the international nautical charts (INT 1). For more information, please visit: https://data.bsh.de/Spatial_Data/Aufmod_Bathymetries/DocumentationMorphologieCSV_EN.pdf https://data.bsh.de/Spatial_Data/Aufmod_Bathymetries/DokumentationMorphologieCSV_DE.pdf
The density classes of harbour porpoises are shown seasonally in a grid of 6 minutes of latitude x 10 minutes of longitude. For more information, please visit: https://data.bsh.de/Spatial_Data/Aufmod_Bathymetries/DocumentationMorphologieCSV_EN.pdf https://data.bsh.de/Spatial_Data/Aufmod_Bathymetries/DokumentationMorphologieCSV_DE.pdf
Noise emissions during pile driving.
The TanDEM-X Forest/Non-Forest Map is a project developed by the Microwaves and Radar Institute at the German Aerospace Center (DLR), within the activities of the TanDEM-X mission. The goal is the derivation of a global forest/non-forest classification mosaic from TanDEM-X bistatic interferometric synthetic aperture radar (InSAR) data, acquired for the generation of the global digital elevation model (DEM) in Stripmap single polarization (HH) mode. The TanDEM-X Forest/Non-Forest Map (FNF) has been generated by processing and mosaicking more than 500,000 TanDEM-X bistatic images acquired from 2011 until 2015. The map has a spatial resolution of 50 x 50m. Forested and non-forested areas are depicted in green and white, respectively. Water bodies are depicted in blue and black is used for identifying urban areas and invalid pixels. For more information, please visit: https://www.dlr.de/hr/en/desktopdefault.aspx/tabid-12538/21873_read-50027/
Description: Spatial distribution of selected demersal fish species in the German Bight. Data source: Data from environmental impact assessments (EIA) under the permit procedures of the Federal Maritime and Hydrographic Agency (BSH) in the North Sea EEZ and research data of the Alfred Wegener Institute (AWI), Helmholtz Centre for Polar and Marine Research; time period: 2000 to 2014, mainly spring and autumn data (EIA data), but also summer and winder data (AWI data) Sampling standards: Data of EIAs follow the standard investigation concept StUK 1-3 (BSH 2007), AWI data mainly collected in accordance with the ICES sampling standard (Rumohr 1999). Sampling gears: EIA-data with 7-8 m (partly 6 m) beam trawl (haul: 15 min), AWI-data with a 2-3 m beam trawl (haul: 5-15 min); trawling speed 3-4 kn, codend mesh size 10 mm Sampling: 1 haul per station and sampling date, data were recorded on board or subsamples were stored frozen for further analysis, analysis of abundance and biomass (kg wet weight) per species Data analysis: science information system of demersal fish data, examination of quality and plausibility, data harmonisation, product computation by AWI Product description: Grid: 10x10 km²; available selectable parameter: number of stations, minimum, maximum, mean, median and standard deviation of density (km-²) per species; classification method: natural jenks (Jenks Caspall algorithm); Note: The products contain a different classification of species density! Note: Please regard different value ranges! Note: Data refer exclusively to demersal fish species spectrum! Cited literature Rumohr, H. (1999). "Soft bottom macrofauna: Collection, treatment, and quality assurance of samples." ICES Techniques in Environmental Sciences, No. 27: 1-19. BSH (2007): Standard Investigation of the Impacts of Offshore Wind Turbines on the Marine Environment (StUK 3), Hamburg. For more information, please visit: https://data.bsh.de/Spatial_Data/Aufmod_Bathymetries/DocumentationMorphologieCSV_EN.pdf https://data.bsh.de/Spatial_Data/Aufmod_Bathymetries/DokumentationMorphologieCSV_DE.pdf
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