By Charlotte Eberz | 30. May 2018 | Category blog, General,
Russia – Murmansk The satellite image of the month June shows a section of Western Russia and a part of the coast to the Barents Sea in the north. This „natural color“ band combination is as close to „true color“ as you can get with a Sentinel 2 image. Because the three visible bands are […]
Read MoreBy Charlotte Eberz | 2. May 2018 | Category blog, General,
Morocco, Atlas Mountains The satellite image of the month May shows a section of the southern Atlas Mountains in Morocco. Despite the blaze of colors, the image is a true-color-composite and was created from different bands, based on Sentinel-2A data from the EU Copernicus program. The resolution provided is 10 meters. The different colours of […]
Read MoreBy Charlotte Eberz | 10. April 2018 | Category blog,
Halong Bay, Vietnam The satellite image of the month April shows a section of the north coast of Vietnam with numerous island formations. Among other things, many islands belonging to the famous Halong Bay can be identified well. The chosen colour combination for this image is a false colour composite, which offers good possibilities for […]
Read MoreBy Charlotte Eberz | 7. March 2018 | Category blog,
Southwest coast, South Korea The satellite picture of the month shows a false-color-composite of the southwest coast of South Korea and a part of the Yellow Sea. The image was created from different tapes based on Sentinel-2A data from the EU Copernicus program. The land-water combination is useful to identify the different island formations and […]
Read MoreBy Charlotte Eberz | 6. February 2018 | Category blog,
Venice, Italy The satellite image of the month February shows a true-colour-composite of the european cultural metropolis and the UNESCO World Cultural Heritage Site of Venice at the Adriatic Sea. The image was created from different bands based on Sentinel-2A data from the EU Copernicus program and provides a resolution of 10 metres. The historical […]
Read MoreBy Carmen Tawalika | 12. January 2018 | Category blog, EO-me, Landsat, Sentinel
EO-me – the Earth Observation Metadata Enhancer platform developed by mundialis enriches the footprints of Sentinel-2 and Landsat-8 scenes with new metadata including scene characterisations like average temperature, precipitation sums, land cover classes and human population of each tile and even dynamic values like the average NDVI at overpass time. Furthermore, EO-me allows users to […]
Read MoreBy Carmen Tawalika | 6. September 2017 | Category blog, General
The update of our web application maps.mundialis.de includes new features which are described subsequently. To directly jump to the section which handles the dateline wrap click here. New Features Location Search Composite Swipe slider Sentinel-2 datepicker Add WMS Restructured menu Complete composites Display features correctly which wrap the dateline Location Search With the […]
Read MoreBy Jonathan | 29. June 2017 | Category blog
Often it is not necessary to process all available raster maps, but just a subset defined by a geographical region. Most of the time the regional extend is defined by a rectangular bounding box with a X- and Y-min/-max value. So how to filter all the raster files in a convenient and efficient way? finding […]
Read MoreBy Jonathan | 27. June 2017 | Category blog
While working on a project to process and upload raster data to GeoServer, several challenges occurred. One task was to manipulate the color table of raster files for own usage. Geospatial Data Abstraction Library (GDAL) GDAL offers a convenient utility to change the look of raster files using color tables. The utility gdaldem color-relief is […]
Read MoreBy Markus | 30. November 2016 | Category blog, Sentinel
Von Edzer Pebesma, Wolfgang Wagner, Jan Verbesselt, Erwin Goor, Christian Briese, Markus Neteler Erdbeobachtungsdaten oder Satellitenbilder sind eine der besten Quellen, um herauszufinden, wie sich unsere Erde verändert. Die Menge der Erdbeobachtungsdaten, die wir bis heute gesammelt haben, ist zu groß geworden, um sie auf einem einzigen Computer zu analysieren. Obwohl die meisten Erdbeobachtungsdaten kostenlos […]
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