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elevation

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  • INSPIRE theme Elevation (depth contours). It contains the depth contour of hydrographic surveying.

  • Die HFP sind in der Örtlichkeit dauerhaft durch Marken aus Metall ( Höhenbolzen ) i.d.R. an Bauwerken, im Fels oder an besonderen Punktträgern vermarkt. Grundsätzlich sind deren Höhen und ggfs. die Koordinaten und Schwerewerte bestimmt. Z. Zt. werden die HFP noch ausschließlich durch geometrisches Nivellement, in Form eines geschlossenen Nivellementweges (Schleife), der auch aus mehreren netzbildenden Linien bestehen kann, bestimmt. Deshalb spricht man auch von Nivellementpunkten (NivP). Der Nachweis der HFP umfasst: - Punktdaten in Form von Höhen-, Schwerewerte und Lagekoordinaten - Punktbeschreibungen (Einmessungsskizzen) - Punktübersichten auf der Grundlage der Topographischen Karte 1:25000 (TK 25) mit Punktsignaturen und -nummern

  • The Copernicus DEM is a Digital Surface Model (DSM) which represents the surface of the Earth including buildings, infrastructure and vegetation. The original GLO-30 provides worldwide coverage at 30 meters (refers to 10 arc seconds). Note that ocean areas do not have tiles, there one can assume height values equal to zero. Data is provided as Cloud Optimized GeoTIFFs. Note that the vertical unit for measurement of elevation height is meters. The Copernicus DEM for Europe at 100 meter resolution (EU-LAEA projection) in COG format has been derived from the Copernicus DEM GLO-30, mirrored on Open Data on AWS, dataset managed by Sinergise (https://registry.opendata.aws/copernicus-dem/). Processing steps: The original Copernicus GLO-30 DEM contains a relevant percentage of tiles with non-square pixels. We created a mosaic map in https://gdal.org/drivers/raster/vrt.html format and defined within the VRT file the rule to apply cubic resampling while reading the data, i.e. importing them into GRASS GIS for further processing. We chose cubic instead of bilinear resampling since the height-width ratio of non-square pixels is up to 1:5. Hence, artefacts between adjacent tiles in rugged terrain could be minimized: gdalbuildvrt -input_file_list list_geotiffs_MOOD.csv -r cubic -tr 0.000277777777777778 0.000277777777777778 Copernicus_DSM_30m_MOOD.vrt In order to reproject the data to EU-LAEA projection while reducing the spatial resolution to 100 m, bilinear resampling was performed in GRASS GIS (using r.proj) and the pixel values were scaled with 1000 (storing the pixels as Integer values) for data volume reduction. In addition, a hillshade raster map was derived from the resampled elevation map (using r.relief GRASS GIS). Eventually, we exported the elevation and hillshade raster maps in Cloud Optimized GeoTIFF (COG) format, along with SLD and QML style files.

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