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<feed xmlns="http://www.w3.org/2005/Atom" xmlns:dc="http://purl.org/dc/elements/1.1/">
  <title>Geoservice News Feed</title>
  <link rel="alternate" href="https://geoservice.dlr.de" />
  <author>
    <name>Administrator</name>
  </author>
  <id>urn:uuid:de:dlr:geoservice</id>
  <updated>2025-09-29T09:21:00Z</updated>
  <dc:date>2025-09-29T09:21:00Z</dc:date>
  <entry>
    <title>Hedgerows Bavaria dataset available</title>
    <link rel="enclosure" href="https://geoservice.dlr.de/catalogue/srv/api/records/88438fae-9fe5-4f55-9f4d-1a73778bf62c/attachments/hedgerows_ql_s.jpg" length="1000" />
    <link rel="related" href="https://geoservice.dlr.de/web/datasets/hedgerows_by" title="[1] Hedgerows Bavaria, 2019-2021 - Data Page" />
    <link rel="related" href="https://download.geoservice.dlr.de/HEDGEROWS/files" title="[2] EOC Download Service" />
    <link rel="related" href="https://geoservice.dlr.de/web/maps/eoc:fcclde" title="[3] EOC Land Map Service" />
    <link rel="related" href="https://doi.org/10.1016/j.rsase.2025.101451" title="[4] Publication" />
    <category term="data" />
    <author>
      <name />
    </author>
    <id>urn:uuid:de:dlr:geoservice:news:56</id>
    <updated>2025-07-01T09:15:00Z</updated>
    <content type="html">&lt;p&gt;
                    Hedgerows play an important role in maintaining biodiversity, carbon sequestration, soil stability and the ecological integrity of agricultural landscapes. In this dataset, hedgerows are mapped for the whole of Bavaria.
                &lt;/p&gt;
                &lt;p&gt;
                    The release includes a vector dataset showing hedgerows in Bavaria derived from Orthophotos with a spatial resolution of 20 cm, taken in the period from 2019 to 2021. &lt;a href="https://geoservice.dlr.de/web/datasets/hedgerows_by"&gt;[1]&lt;/a&gt;.
                &lt;/p&gt;
                &lt;p&gt;
                  The datasets are available in our EOC Download Service &lt;a href="https://download.geoservice.dlr.de/HEDGEROWS/files"&gt;[2]&lt;/a&gt; and offered as map layers &lt;a href="https://geoservice.dlr.de/web/maps/eoc:hedgerows"&gt;[3]&lt;/a&gt;.
                  A full description of the method and results can be found in the publication &lt;a href="https://doi.org/10.1016/j.rsase.2025.101451"&gt;[4]&lt;/a&gt;
                &lt;/p&gt;</content>
    <summary>Release of Hedgerows Bavaria data for Germany</summary>
  </entry>
  <entry>
    <title>New forest canopy cover loss data available</title>
    <link rel="enclosure" href="https://geoservice.dlr.de/catalogue/srv/api/records/cdb2c209-7e08-4f4c-b500-69de926e3023/attachments/FCCL_DE_ql_s.jpg" length="1000" />
    <link rel="related" href="https://geoservice.dlr.de/web/datasets/fccl" title="[1] Forest Canopy Cover Loss - Germany Data Page" />
    <link rel="related" href="https://geoservice.dlr.de/web/datasets/fccl_stats" title="[2] Forest Canopy Cover Loss - Germany Statistics Data Page " />
    <link rel="related" href="https://download.geoservice.dlr.de/FCCL/files" title="[3] EOC Download Service - Forest Canopy Cover Loss for Germany" />
    <link rel="related" href="https://geoservice.dlr.de/web/maps/eoc:fcclde" title="[4] FCCL - EOC Land Map Service" />
    <link rel="related" href="https://geoservice.dlr.de/web/maps/eoc:fcclde-stats" title="[5] FCCL Stats - EOC Land Map Service" />
    <category term="data" />
    <author>
      <name />
    </author>
    <id>urn:uuid:de:dlr:geoservice:news:55</id>
    <updated>2025-06-12T14:42:00Z</updated>
    <content type="html">&lt;p&gt;
                    In recent years more and more deforested areas have become evident. Forests are our green lungs, create habitats for a diverse world of flora and fauna, provide timber, and protect against floods and slope collapse. How large is the loss caused by forest die-off and tree removal? Researchers at the German Aerospace Center (DLR) are addressing this question with the help of earth observation data.
                &lt;p&gt;
                    The release includes a raster dataset showing forest canopy cover loss (FCCL) in Germany at a monthly resolution from September 2017 to September 2024 dervied from Sentinel-2A/B and Landsat-8/9 &lt;a href="https://geoservice.dlr.de/web/datasets/fccl"&gt;[1]&lt;/a&gt;. In addition, we provide vector data showing the forest cover loss statistics at administrative level &lt;a href="https://geoservice.dlr.de/web/datasets/fccl_stats"&gt;[2]&lt;/a&gt;.
                &lt;/p&gt;
                &lt;p&gt;
                  The datasets are available in our EOC Download Service &lt;a href="https://download.geoservice.dlr.de/FCCL/files"&gt;[3]&lt;/a&gt; and offered as map layers &lt;a href="https://geoservice.dlr.de/web/maps/eoc:fcclde"&gt;[4]&lt;/a&gt; &lt;a href="https://geoservice.dlr.de/web/maps/eoc:fcclde-stats"&gt;[5]&lt;/a&gt;.
                &lt;/p&gt;</content>
    <summary>Release of Forest Canopy Cover Loss data for Germany</summary>
  </entry>
  <entry>
    <title>Sentinel-2 L2A MAJA data: Temporary interruption in publication of new data</title>
    <link rel="self" type="text/html" href="https://geoservice.dlr.de/web/news/54" />
    <link rel="enclosure" href="https://geoservice.dlr.de/resources/feeds/thumbs/s2_maja_mapview_500x500px.jpg" length="1000" />
    <link rel="related" href="https://download.geoservice.dlr.de/S2_L2A_MAJA/files/" title="[1] EOC Download Service Sentinel-2 L2A MAJA Tiles folder search (Germany)" />
    <link rel="related" href="https://www.dlr.de/en/eoc/latest/news/2019/free-of-charge-access-to-atmospherically-corrected-sentinel-2-data-for-germany" title="[2] EOC news article on Sentinel-2 L2A MAJA Tiles over Germany" />
    <link rel="related" href="https://geoservice.dlr.de/web/datasets/s2_l2a_maja" title="[3] EOC Geoservice Datasets page for Sentinel-2 L2A MAJA" />
    <link rel="related" href="https://geoservice.dlr.de/web/datasets/s2_l3a_wasp" title="[4] EOC Geoservice Datasets page for Sentinel-2 L3A WASP" />
    <category term="data" />
    <author>
      <name />
    </author>
    <id>urn:uuid:de:dlr:geoservice:news:54</id>
    <updated>2025-05-12T14:33:00Z</updated>
    <content type="html">&lt;p&gt;Due to the launch of Sentinel-2C, the MAJA and WASP processors need to be updated. With MAJA V 4.10, we plan to switch to using the Copernicus GLO-30 DEM and higher-resolution cloud masks, similar to the products provided by CNES. We are currently in the process of qualifying the new MAJA 4.10 products and adapting our publishing workflows. We plan to release the new product version at the end of May 2025. The latest product of the old processor is scheduled for 03 February.&lt;/p&gt;</content>
    <summary>Sentinel-2 L2A MAJA data: Temporary interruption in data processing</summary>
  </entry>
  <entry>
    <title>New agriculture products: Frequency and First Mowing Cut datasets now available</title>
    <link rel="enclosure" href="https://geoservice.dlr.de/catalogue/srv/api/records/9dbcf7db-3d33-44d9-a7e0-e94ba554ba1b/attachments/FirstCut_ql_s.png" length="1000" />
    <link rel="related" href="https://geoservice.dlr.de/web/datasets/gl_mow_freq" title="[1] GrassLands - Frequency Data Page" />
    <link rel="related" href="https://geoservice.dlr.de/web/datasets/gl_mow_fc" title="[2] GrassLands - First Cut Data Page" />
    <link rel="related" href="https://download.geoservice.dlr.de/GL_MOWING/files" title="[3] EOC Download Service - GrassLands-Mowing Dynamics" />
    <link rel="related" href="https://geoservice.dlr.de/web/maps/eoc:gl:mowing" title="[4] EOC Land Map Service" />
    <link rel="related" href="https://geoservice.dlr.de/eoc/ogc/stac/v1/collections/GL_MOW_DE_P1Y_FREQ" title="[5] EOC STAC Catalog - GrassLands - Frequency" />
    <link rel="related" href="https://geoservice.dlr.de/eoc/ogc/stac/v1/collections/GL_MOW_DE_P1Y_FC" title="[6] EOC STAC Catalog - GrassLands - First Cut" />
    <category term="data" />
    <author>
      <name />
    </author>
    <id>urn:uuid:de:dlr:geoservice:news:53</id>
    <updated>2025-04-15T13:15:00Z</updated>
    <content type="html">&lt;p&gt;
                   Grassland mowing dynamics (i.e. the timing and frequency of mowing events) have a strong impact on grassland functions and yields. As grasslands in Germany are managed on small-scale units and grass grows back quickly, satellite information with high spatial and temporal resolution is necessary to capture grassland mowing dynamics.
                &lt;/p&gt;
                &lt;p&gt;
                  As part of our latest product releases, we introduce two innovative layers: Frequency &lt;a href="https://geoservice.dlr.de/web/datasets/gl_mow_freq"&gt;[1]&lt;/a&gt; displays the number of times grassland is mown per year, while First Cut &lt;a href="https://geoservice.dlr.de/web/datasets/gl_mow_fc"&gt;[2]&lt;/a&gt; shows the exact date (DOY) of the first mowing event each year. These products provide valuable insights into mowing strategies, enabling more precise planning and analysis in agriculture and landscape management.
                &lt;/p&gt;
                &lt;p&gt;
                  The data is available in our EOC Download Service &lt;a href="https://download.geoservice.dlr.de/GL_MOWING/files"&gt;[3]&lt;/a&gt;, offered as both map layers &lt;a href="https://geoservice.dlr.de/web/maps/eoc:gl:mowing"&gt;[4]&lt;/a&gt; and individual STAC Collections &lt;a href="https://geoservice.dlr.de/web/maps/eoc:gl:mowing"&gt;[5]&lt;/a&gt; &lt;a href="https://geoservice.dlr.de/web/maps/eoc:gl:mowing"&gt;[6]&lt;/a&gt;. This ensures easy access and integration into various workflows, providing users with flexible options to utilize the data in their projects and analyses.
                &lt;/p&gt;</content>
    <summary>Release of mowing dataseries for Germany</summary>
  </entry>
  <entry>
    <title>New download capability for the DESIS L2A STAC collection from 2018 - 2021</title>
    <link rel="enclosure" href="https://geoservice.dlr.de/catalogue/srv/api/records/0f4324af-fa0a-4aaf-9b97-89a4f3325ce1/attachments/desis_ql.jpg" length="1000" />
    <link rel="related" href="https://geoservice.dlr.de/web/datasets/desis_l2_hsi" title="[1] DESIS Data Page" />
    <link rel="related" href="https://geoservice.dlr.de/eoc/ogc/stac/v1/collections/DESIS_HSI_L2A" title="[2] DESIS STAC Endpoint" />
    <link rel="related" href="https://download.geoservice.dlr.de/DESIS/files/L2A" title="[3] DESIS Download" />
    <link rel="related" href="https://ceos.org/ard/index.html#datasets" title="[4] CEOS Analysis-Ready Datasets" />
    <link rel="related" href="https://doi.org/10.3390/s20051428" title="[5] PACO: Python-Based Atmospheric Correction" />
    <link rel="related" href="https://www.dlr.de/en/eoc/research-transfer/projects-missions/desis" title="[6] Main DESIS Mission Website" />
    <link rel="related" href="https://eoweb.dlr.de/egp/" title="[7] EOWEB Portal" />
    <category term="data" />
    <author>
      <name />
    </author>
    <id>urn:uuid:de:dlr:geoservice:news:52</id>
    <updated>2025-03-21T13:15:00Z</updated>
    <content type="html">&lt;p&gt;The hyperspectral DESIS L2A STAC collection &lt;a href="https://geoservice.dlr.de/web/datasets/desis_l2_hsi"&gt;[1]&lt;/a&gt; is now accessible using the EOC Geoservice STAC endpoint &lt;a href="https://geoservice.dlr.de/eoc/ogc/stac/v1/collections/DESIS_HSI_L2A"&gt;[2]&lt;/a&gt; and can be downloaded directly from the EOC Download Service &lt;a href="https://download.geoservice.dlr.de/DESIS/files/L2A"&gt;[3]&lt;/a&gt;. It expands the accessibility of DESIS data with a standardized L2A dataset particularly for users of Big Data or time series analysis. The DESIS Level 2A collection is listed by CEOS as Analysis Ready Data (ARD) &lt;a href="https://ceos.org/ard/index.html#datasets"&gt;[4]&lt;/a&gt;. The DESIS L2A STAC collection contains systematically processed bottom of atmosphere reflectance data generated using an algorithm for the atmospheric correction of DESIS data over land surfaces using the PACO code &lt;a href="https://doi.org/10.3390/s20051428"&gt;[5]&lt;/a&gt;. The spaceborne hyperspectral DESIS mission &lt;a href="https://www.dlr.de/en/eoc/research-transfer/projects-missions/desis"&gt;[6]&lt;/a&gt; provides hyperspectral data with reflectance values between 400nm and 1000nm with a spatial resolution of about 30 m and it is provided in cloud-optimized GeoTIFF format for direct access and download. In this collection, data has been spectrally binned by factor 4. Data with the original spectral resolution of 2.55 nm is available via the EOWEB portal &lt;a href="https://eoweb.dlr.de/egp/"&gt;[7]&lt;/a&gt;. The dataset is provided in cloud-optimized GeoTIFF format for direct access and download. &lt;/p&gt;</content>
    <summary>New download capability for the DESIS L2A STAC collection</summary>
  </entry>
  <entry>
    <title>Release of the SoilSuite Europe dataset</title>
    <link rel="enclosure" href="https://geoservice.dlr.de/catalogue/srv/api/records/301c0949-d502-4a49-ba3d-cc7405240164/attachments/SOILSUITE_SRC_EUR_5Y_ql.png" length="1000" />
    <link rel="related" href="https://download.geoservice.dlr.de/SOILSUITE/files/EUROPE_5Y/000_Data_Overview/SoilSuite_Data_Description_Europe_V1.pdf" title="[1] SoilSuite Europe data description (pdf)" />
    <link rel="related" href="https://gui.world-soils.com/" title="[2] WorldSoils - Soil Monitoring System" />
    <link rel="related" href="https://doi.org/10.3390/rs14184526" title="[3] Scientific publication - Heiden et al. 2022" />
    <link rel="related" href="https://www.dlr.de/de/eoc/forschung-transfer/projekte-und-missionen/terrabyte" title="[4] DLR terrabyte project website" />
    <link rel="related" href="https://geoservice.dlr.de/web/datasets/soilsuite_eur_5y" title="[5] EOC Geoservice Webapp - SoilSuite Europe" />
    <link rel="related" href="https://geoservice.dlr.de/eoc/ogc/stac/v1/collections/S2-soilsuite-europe-2018-2022-P5Y" title="[6] EOC STAC Catalog - SoilSuite - Bare surface composite" />
    <link rel="related" href="https://download.geoservice.dlr.de/SOILSUITE/files/EUROPE_5Y/" title="[7] EOC Download Service - SoilSuite Europe" />
    <category term="data" />
    <author>
      <name />
    </author>
    <id>urn:uuid:de:dlr:geoservice:news:51</id>
    <updated>2025-02-20T16:04:00Z</updated>
    <content type="html">&lt;p&gt;The SoilSuite contains a collection of maps that provide information about the spectral properties of the European soils and its temporal variability as well as the duration of soil cover and intensity of use &lt;a href="https://download.geoservice.dlr.de/SOILSUITE/files/EUROPE_5Y/000_Data_Overview/SoilSuite_Data_Description_Europe_V1.pdf"&gt;[1]&lt;/a&gt;. The data can also be further used in soil parameter mapping approaches to derive soil organic carbon &lt;a href="https://gui.world-soils.com/"&gt;[2]&lt;/a&gt; and other soil properties. The SoilSuite is created using DLR's Soil Composite Mapping Processor (SCMaP) &lt;a href="https://doi.org/10.3390/rs14184526"&gt;[3]&lt;/a&gt; utilizing the HPC terrabyte platform &lt;a href="https://www.dlr.de/de/eoc/forschung-transfer/projekte-und-missionen/terrabyte"&gt;[4]&lt;/a&gt; at DLR. All products are calculated based on the available Sentinel-2 scenes recorded between January 2018 and December 2022 in Europe and the pixel resolution is 20 m. The processing excludes all scenes with a cloud cover of &gt; 80 % and a sun elevation of &lt; 20 degrees. The SoilSuite datasets can be explored via the EOC Geoservice Webapp &lt;a href="https://geoservice.dlr.de/web/datasets/soilsuite_eur_5y"&gt;[5]&lt;/a&gt;, the EOC Geoservice STAC endpoint &lt;a href="https://geoservice.dlr.de/eoc/ogc/stac/v1/collections/S2-soilsuite-europe-2018-2022-P5Y"&gt;[6]&lt;/a&gt; and can be downloaded directly from the EOC Download Service &lt;a href="https://download.geoservice.dlr.de/SOILSUITE/files/EUROPE_5Y/"&gt;[7]&lt;/a&gt;.&lt;/p&gt;</content>
    <summary>Release of the SoilSuite Europe dataset</summary>
  </entry>
  <entry>
    <title>Release of Crop Type Maps for Germany</title>
    <link rel="enclosure" href="https://geoservice.dlr.de/catalogue/srv/api/records/4aeac9d6-935c-4fc4-a657-3c3296589b5f/attachments/croptypes_ger_p1y_ql.jpg" length="1000" />
    <link rel="related" href="https://geoservice.dlr.de/web/datasets/croptypes_de" title="[1] EOC Geoservice Webapp - CropTypes - Crop Type Maps for Germany - Yearly, 10m" />
    <link rel="related" href="https://www.mdpi.com/2072-4292/14/13/2981" title="[2] Mapping Crop Types of Germany by Combining Temporal Statistical Metrics of Sentinel-1 and Sentinel-2 Time Series with LPIS Data" />
    <category term="data" />
    <author>
      <name />
    </author>
    <id>urn:uuid:de:dlr:geoservice:news:50</id>
    <updated>2024-11-21T12:00:00Z</updated>
    <content type="html">&lt;p&gt;
                  New data sets from earth observation show the diversity and utilisation of agricultural land &lt;a href="https://geoservice.dlr.de/web/datasets/croptypes_de"&gt;[1]&lt;/a&gt;. This raster dataset depicts the main type of crop grown on each field in Germany each year. Crop types and crop rotation are of great economic importance and have a strong influence on the functions of arable land and ecology.                    &lt;/p&gt;
                &lt;p&gt;
                  Based on Sentinel-1 and Sentinel-2 time series as well as LPIS data from some Federal States of Germany, 18 different crops or crop groups were mapped per pixel with 10 m resolution for Germany on an annual basis since 2018.
                &lt;/p&gt;
                &lt;p&gt;
                  A full description of the method and results can be found in the publication &lt;a href="https://www.mdpi.com/2072-4292/14/13/2981"&gt;[2]&lt;/a&gt;.
                &lt;/p&gt;
                &lt;p&gt;
                  The datasets will also be available for download soon.
                &lt;/p&gt;</content>
    <summary>Release of Crop Type Maps for Germany</summary>
  </entry>
  <entry>
    <title>Release of EnMAP SpectralEarth Data</title>
    <link rel="self" type="text/html" href="https://geoservice.dlr.de/web/news/49" />
    <link rel="enclosure" href="https://geoservice.dlr.de/catalogue/srv/api/records/d98099fd-b2c2-4749-9a05-d00ef0a0df49/attachments/enmap_spectralearth_ql_s.png" length="1000" />
    <link rel="related" href="https://geoservice.dlr.de/web/datasets/enmap_l2_hsi" title="[1] EOC Geoservice Webapp - EnMAP HSI - Level 2A Hyperspectral Images - Global" />
    <link rel="related" href="https://geoservice.dlr.de/web/datasets/enmap_spectralearth" title="[2] EOC Geoservice Webapp - EnMAP HSI - SpectralEarth − non-georeferenced − Global" />
    <link rel="related" href="https://download.geoservice.dlr.de/ENMAP/files/SPECTRAL_EARTH/" title="[3] EnMAP SpectralEarth Download Service" />
    <link rel="related" href="https://arxiv.org/abs/2408.08447" title="[4] SpectralEarth: Training Hyperspectral Foundation Models at Scale" />
    <category term="data" />
    <author>
      <name />
    </author>
    <id>urn:uuid:de:dlr:geoservice:news:49</id>
    <updated>2024-09-13T18:00:00Z</updated>
    <content type="html">&lt;p&gt;
                Based on the EnMAP L2A data collection &lt;a href="https://geoservice.dlr.de/web/datasets/enmap_l2_hsi"&gt;[1]&lt;/a&gt;, a 3.3 terabytes dataset of over half a million hyperspectral image patches of size 128x128 pixels and 202 channels has been assembled: &amp;#8243;SpectralEarth&amp;#8243; &lt;a href="https://geoservice.dlr.de/web/datasets/enmap_spectralearth"&gt;[2]&lt;/a&gt; aims to share a valuable asset for the training of hyperspectral foundation models and self-supervised machine learning algorithms. To that end, SpectralEarth ships with a subset of annotations for various land cover classification tasks.
                &lt;/p&gt;
                &lt;p&gt;
                The data can be downloaded directly from the EOC Download Service. &lt;a href="https://download.geoservice.dlr.de/ENMAP/files/SPECTRAL_EARTH/"&gt;[3]&lt;/a&gt;
                &lt;/p&gt;
                &lt;p&gt;
                Further information on the data can be found in the publication. &lt;a href="https://arxiv.org/abs/2408.08447"&gt;[4]&lt;/a&gt;&lt;/p&gt;
                &lt;/p&gt;</content>
    <summary>Release of EnMAP SpectralEarth Data</summary>
  </entry>
  <entry>
    <title>Geoservice Update - New structure of the data records</title>
    <link rel="self" type="text/html" href="https://geoservice.dlr.de/web/news/48" />
    <link rel="enclosure" href="https://geoservice.dlr.de/static/logos/datasets.png" length="1000" />
    <link rel="related" href="https://geoservice.dlr.de/web/datasets" title="[1] EOC Geoservice Webapp - Datasets" />
    <category term="data" />
    <author>
      <name />
    </author>
    <id>urn:uuid:de:dlr:geoservice:news:48</id>
    <updated>2024-08-06T12:00:00Z</updated>
    <content type="html">&lt;p&gt;
                We are pleased to inform you that our service has been updated with a new design. We have revised the structure of the site to offer you an enhanced user experience.
                The new design of the "Datasets" optimizes the overview of available data &lt;a href="https://geoservice.dlr.de/web/datasets"&gt;[1]&lt;/a&gt;.
                &lt;/p&gt;
                &lt;p&gt;
                The most important changes include:
                &lt;/p&gt;
                &lt;ul&gt;
                     &lt;li&gt;Datasets as a central page for all data&lt;/li&gt;
                     &lt;li&gt;Geoscientific categories for the thematic subdivision of datasets&lt;/li&gt;
                     &lt;li&gt;Product pages with information and links to the data and projects&lt;/li&gt;
                &lt;/ul&gt;
                &lt;p&gt;
                We hope you like the new design and that it makes it easier for you to work with our service.
                &lt;/p&gt;
                &lt;p&gt;
                If you have any questions or feedback, please do not hesitate to contact us.
                &lt;/p&gt;
                &lt;p&gt;
                Best regards
                &lt;/p&gt;
                &lt;p&gt;
                Your EOC Geoservice Team.
                &lt;/p&gt;</content>
    <summary>Geoservice Update - New structure of the data records</summary>
  </entry>
  <entry>
    <title>Release of the Modelled Forest Structure Products (Germany)</title>
    <link rel="self" type="text/html" href="https://geoservice.dlr.de/web/news/47" />
    <link rel="enclosure" href="https://geoservice.dlr.de/catalogue/srv/api/records/a3c5b57f-8d87-42d2-a3b2-8f5a230964ae/attachments/fs_germany_ql_s.jpg" length="1000" />
    <link rel="related" href="https://geoservice.dlr.de/eoc/ogc/stac/v1/collections/FOREST_STRUCTURE_DE_RH95_P1Y" title="[1] EOC Geoservice STAC Collection - Canopy Height (RH95)" />
    <link rel="related" href="https://geoservice.dlr.de/eoc/ogc/stac/v1/collections/FOREST_STRUCTURE_DE_COVER_P1Y" title="[2] EOC Geoservice STAC Collection - Canopy Cover" />
    <link rel="related" href="https://geoservice.dlr.de/eoc/ogc/stac/v1/collections/FOREST_STRUCTURE_DE_AGBD_P1Y" title="[3] EOC Geoservice STAC Collection - Above-Ground Biomass Density (AGBD)" />
    <link rel="related" href="https://gedi.umd.edu/" title="[4] Global Ecosystem Dynamics Investigation - NASA - full-waveform LiDAR" />
    <link rel="related" href="https://sentinel.esa.int/web/sentinel/technical-guides/sentinel-1-sar/products-algorithms/level-1-algorithms/ground-range-detected" title="[5] Synthetic-Aperture-Radar - ESA - C-band" />
    <link rel="related" href="https://sentinel.esa.int/web/sentinel/technical-guides/sentinel-2-msi/level-2a-algorithms-products" title="[6] Multispectral Instrument - ESA - VIS-NIR-SWIR" />
    <link rel="related" href="https://doi.org/10.3390/rs15081969" title="[7] Kacic et al. 2023" />
    <link rel="related" href="https://geoservice.dlr.de/web/maps/eoc:fsgermany" title="[8] EOC Geoservice WebApp - Forest Structure Germany" />
    <link rel="related" href="https://download.geoservice.dlr.de/FSG/files/" title="[9] Forest Structure Germany Download Service" />
    <category term="data" />
    <author>
      <name />
    </author>
    <id>urn:uuid:de:dlr:geoservice:news:47</id>
    <updated>2024-01-10T12:00:00Z</updated>
    <content type="html">&lt;p&gt;
                        The forest structure product for Germany consists of the attributes canopy height &lt;a href="https://geoservice.dlr.de/eoc/ogc/stac/v1/collections/FOREST_STRUCTURE_DE_RH95_P1Y"&gt;[1]&lt;/a&gt;, total canopy cover &lt;a href="https://geoservice.dlr.de/eoc/ogc/stac/v1/collections/FOREST_STRUCTURE_DE_COVER_P1Y"&gt;[2]&lt;/a&gt; and above-ground biomass density (AGBD, &lt;a href="https://geoservice.dlr.de/eoc/ogc/stac/v1/collections/FOREST_STRUCTURE_DE_AGBD_P1Y"&gt;[3]&lt;/a&gt;) as annual products from 2017 to 2022 in 10 m spatial resolution.
                        The products were generated using a machine learning modelling approach that combines complementary spaceborne remote sensing sensors, namely GEDI (Global Ecosystem Dynamics Investigation; NASA; full-waveform LiDAR; &lt;a href="https://gedi.umd.edu/"&gt;[4]&lt;/a&gt;), Sentinel-1 (Synthetic-Aperture-Radar; ESA; C-band; &lt;a href="https://sentinel.esa.int/web/sentinel/technical-guides/sentinel-1-sar/products-algorithms/level-1-algorithms/ground-range-detected"&gt;[5]&lt;/a&gt;) and Sentinel-2 (Multispectral Instrument; ESA; VIS-NIR-SWIR; &lt;a href="https://sentinel.esa.int/web/sentinel/technical-guides/sentinel-2-msi/level-2a-algorithms-products"&gt;[6]&lt;/a&gt;).
                        The derived products are the first consistent data sets on canopy height, total canopy cover and AGBD for Germany which enable a quantitative assessment of recent forest structure dynamics, e.g. in the context of repeated drought events since 2018. The full description of the method and results can be found in the publication of Kacic et al. 2023 (&lt;a href="https://doi.org/10.3390/rs15081969"&gt;[7]&lt;/a&gt;).
                        &lt;/p&gt;
                        &lt;p&gt;
                        The data will be accessible through the EOC Geoservice WMS &lt;a href="https://geoservice.dlr.de/web/maps/eoc:fsgermany"&gt;[8]&lt;/a&gt; and can be downloaded directly from the EOC Download Service. &lt;a href="https://download.geoservice.dlr.de/FSG/files/"&gt;[9]&lt;/a&gt;
                        &lt;/p&gt;</content>
    <summary>Release of the Modelled Forest Structure Products (Germany) in the EOC Geoservice</summary>
  </entry>
  <entry>
    <title>Release of the TanDEM-X 30m Edited DEM and 30m DEM Change Maps</title>
    <link rel="self" type="text/html" href="https://geoservice.dlr.de/web/news/46" />
    <link rel="enclosure" href="https://geoservice.dlr.de/catalogue/srv/api/records/4ee664df-ceb9-4d59-bc6e-4df4da54b53d/attachments/TDM30_EDEM_ql_s.png" length="1000" />
    <link rel="related" href="https://geoservice.dlr.de/web/maps/tdm:dcm30" title="[1] EOC Geoservice Webapp - TanDEM-X 30m DEM Change Maps (DCM)" />
    <link rel="related" href="https://geoservice.dlr.de/web/maps/tdm:edem30" title="[2] EOC Geoservice Webapp - TanDEM-X 30m Edited DEM Change Maps (EDEM)" />
    <link rel="related" href="https://download.geoservice.dlr.de/TDM30_DCM/" title="[3] TanDEM-X 30m DEM Change Maps (DCM) Download Service" />
    <link rel="related" href="https://download.geoservice.dlr.de/TDM30_EDEM/" title="[4] TanDEM-X 30m Edited DEM Change Maps (EDEM) Download Service" />
    <link rel="related" href="https://geoservice.dlr.de/web/dataguide/tdm30/" title="[5] TanDEM-X 30m Data Guide" />
    <category term="data" />
    <author>
      <name />
    </author>
    <id>urn:uuid:de:dlr:geoservice:news:46</id>
    <updated>2023-11-22T12:00:00Z</updated>
    <content type="html">&lt;p&gt;
                        The 30m TanDEM-X products depict detailed information of the topographic height and changes over a certain time.
                        The DEM Change Maps &lt;a href="https://geoservice.dlr.de/web/maps/tdm:dcm30"&gt;[1]&lt;/a&gt; focus on the changes that have occurred during the years separating this new coverage from the coverages acquired to generate the TanDEM-X global DEM (between 2011 and 2014). The Change Maps are available in 30m posting and show height differences between the edited first global TanDEM-X DEM and the newly acquired time-tagged DEM scenes.
                        The TanDEM-X 30m Edited DEM &lt;a href="https://geoservice.dlr.de/web/maps/tdm:edem30"&gt;[2]&lt;/a&gt; is a product variant of the Global Digital Elevation Model (DEM) acquired in the frame of the German TanDEM-X mission between 2010 and 2014, and has a reduced pixel spacing of 1 arcseconds (arsec), which corresponds to 30m at the equator.
                        &lt;/p&gt;
                        &lt;p&gt;
                        The data will be accessible through the EOC Geoservice WMS and can be downloaded directly from the EOC Download Service. &lt;a href="https://download.geoservice.dlr.de/TDM30_DCM/"&gt;[3]&lt;/a&gt; &lt;a href="https://download.geoservice.dlr.de/TDM30_EDEM/"&gt;[4]&lt;/a&gt;&lt;/p&gt;
                        &lt;p&gt;Further information on the products can be found in the Data Guide. &lt;a href="https://geoservice.dlr.de/web/dataguide/tdm30/"&gt;[5]&lt;/a&gt;&lt;/p&gt;</content>
    <summary>Release of the TanDEM-X 30m Edited DEM and 30m Change Maps in the EOC Geoservice</summary>
  </entry>
  <entry>
    <title>Release of the EnMAP HSI L2A STAC Collection</title>
    <link rel="self" type="text/html" href="https://geoservice.dlr.de/web/news/45" />
    <link rel="enclosure" href="https://geoservice.dlr.de/catalogue/srv/api/records/39e254f4-e192-43d4-a159-f3e4dab3ec37/attachments/ENMAP_HSI_L2A_ql.jpg" length="1000" />
    <link rel="related" href="https://geoservice.dlr.de/eoc/ogc/stac/v1/collections/ENMAP_HSI_L2A" title="[1] EOC STAC Catalog - EnMAP HSI L2A" />
    <link rel="related" href="https://ceos.org/ard/" title="[2] CEOS Analysis Ready Data" />
    <link rel="related" href="https://geoservice.dlr.de/eoc/ogc/stac/v1/" title="[3] Geoservice STAC API" />
    <link rel="related" href="https://download.geoservice.dlr.de/ENMAP/files/" title="[4] EnMAP Download Service" />
    <link rel="related" href="https://eoweb.dlr.de/egp/" title="[5] EOWEB GeoPortal" />
    <category term="data" />
    <author>
      <name />
    </author>
    <id>urn:uuid:de:dlr:geoservice:news:45</id>
    <updated>2023-10-23T08:00:00Z</updated>
    <content type="html">&lt;p&gt;The EnMAP HSI L2A STAC Collection &lt;a href="https://geoservice.dlr.de/eoc/ogc/stac/v1/collections/ENMAP_HSI_L2A"&gt;[1]&lt;/a&gt; expands the accessibility of EnMAP with a standardized dataset series particularly for users of Big Data or time series analysis.
        The dataset provided will contain the entire mission data processed with the latest atmospheric correction methodology of the land processor to Level 2A.
        In addition, the data will be Analysis Ready Data (ARD) and the metadata will follow the CEOS Analysis Ready Data (CEOS-ARD) &lt;a href="https://ceos.org/ard/"&gt;[2]&lt;/a&gt; framework.
        The data will be accessible through the EOC Geoservice STAC endpoint &lt;a href="https://geoservice.dlr.de/eoc/ogc/stac/v1/"&gt;[3]&lt;/a&gt; or can be downloaded directly from the EOC Download Service &lt;a href="https://download.geoservice.dlr.de/ENMAP/files/"&gt;[4]&lt;/a&gt;.
        The collection will contain all "overallQuality" levels, unlike the collections in EOWEB &lt;a href="https://eoweb.dlr.de/egp/"&gt;[5]&lt;/a&gt;.
        At the moment, the data is still being reprocessed, so the collection will continue to fill up in the near future.
                        &lt;/p&gt;</content>
    <summary>Release of the EnMAP HSI L2A STAC Collection in the EOC Geoservice</summary>
  </entry>
  <entry>
    <title>Sentinel-5P TROPOMI L3 Daily Composites - Processor update and STAC</title>
    <link rel="self" type="text/html" href="https://geoservice.dlr.de/web/news/44" />
    <link rel="enclosure" href="https://geoservice.dlr.de/resources/feeds/thumbs/S5P_TROPOMI_O3_ql.jpg" length="1000" />
    <link rel="related" href="https://geoservice.dlr.de/eoc/ogc/stac/v1/collections/S5P_TROPOMI_L3_P1D_CF" title="[1] EOC STAC Catalog - S5P L3 Cloud Fraction" />
    <link rel="related" href="https://geoservice.dlr.de/eoc/ogc/stac/v1/collections/S5P_TROPOMI_L3_P1D_COT" title="[2] EOC STAC Catalog - S5P L3 Cloud Optical Thickness" />
    <link rel="related" href="https://geoservice.dlr.de/eoc/ogc/stac/v1/collections/S5P_TROPOMI_L3_P1D_CTH" title="[3] EOC STAC Catalog - S5P L3 Cloud Top Height" />
    <link rel="related" href="https://geoservice.dlr.de/eoc/ogc/stac/v1/collections/S5P_TROPOMI_L3_P1D_HCHO" title="[4] EOC STAC Catalog - S5P L3 Formaldehyde" />
    <link rel="related" href="https://geoservice.dlr.de/eoc/ogc/stac/v1/collections/S5P_TROPOMI_L3_P1D_O3" title="[5] EOC STAC Catalog - S5P L3 Ozone" />
    <link rel="related" href="https://geoservice.dlr.de/eoc/ogc/stac/v1/collections/S5P_TROPOMI_L3_P1D_SO2" title="[6] EOC STAC Catalog - S5P L3 Sulphur Dioxide" />
    <link rel="related" href="https://geoservice.dlr.de/web/maps/s5p:tropomi:l3" title="[7] EOC Geoservice Webapp - Sentinel 5P L3" />
    <link rel="related" href="https://download.geoservice.dlr.de/S5P_TROPOMI/files/L3/" title="[8] EOC Download Service - Sentinel 5P L3" />
    <link rel="related" href="https://geoservice.dlr.de/eoc/ogc/stac/v1/" title="[9] EOC STAC Catalog" />
    <category term="data" />
    <author>
      <name />
    </author>
    <id>urn:uuid:de:dlr:geoservice:news:44</id>
    <updated>2023-09-06T15:00:00Z</updated>
    <content type="html">&lt;p&gt;Since August 1, 2023, the Sentinel-5P L3 datasets are being generated with the new UMAS: 4.1.0 processor. These products are being published via our STAC Catalog endpoint &lt;a href="https://geoservice.dlr.de/eoc/ogc/stac/v1/"&gt;[9]&lt;/a&gt;.
                        At current (06.09.2023) these atmospheric trace gases and cloud physical parameters are being produced as Level 3 products: Ozone, Formaldehyde, Sulphur Dioxide, Cloud Fraction, Cloud Optical Thickness and Cloud Top Height. These improved UMAS-4 L3-products are now available in the Web Mapping Service (WMS) &lt;a href="https://geoservice.dlr.de/web/maps/s5p:tropomi:l3"&gt;[7]&lt;/a&gt;.
                        However, "old" products (generated with previous versions of UMAS) are still available in the download service &lt;a href="https://download.geoservice.dlr.de/S5P_TROPOMI/files/L3/"&gt;[2]&lt;/a&gt;.
                        This applies for data (from January 16, 2022 until July 31, 2023). In the upcoming months all Level 3 products from mission start onwards will be reprocessed with UMAS-4 and published via this platform. For the whole period, additional S5P L3 products will follow soon.
                        &lt;/p&gt;</content>
    <summary>We updatet our Sentinel-5P TROPOMI L3 Daily Composites to the the new processor version (UMAS: 4.1.0 processor) and added STAC Collections for every published product.</summary>
  </entry>
  <entry>
    <title>Release of the World Settlement Footprint 3D Data Sets</title>
    <link rel="self" type="text/html" href="https://geoservice.dlr.de/web/news/43" />
    <link rel="enclosure" href="https://geoservice.dlr.de/resources/feeds/thumbs/WSF3D_vector_ql.png" length="1000" />
    <link rel="related" href="https://www.sciencedirect.com/science/article/pii/S0034425721005976?via%3Dihub" title="[1] A first three-dimensional survey of the global building stock, Remote Sensing of Environment, Volume 270, 2022" />
    <link rel="related" href="https://geoservice.dlr.de/web/maps/eoc:wsf3d" title="[2] EOC Geoservice Webapp - WSF 3D" />
    <link rel="related" href="https://wis.eoc.dlr.de/wsf3d" title="[3] WSF 3D - 3D Viewer" />
    <link rel="related" href="https://download.geoservice.dlr.de/WSF3D/files/" title="[4] EOC Download Service - WSF 3D" />
    <category term="data" />
    <author>
      <name />
    </author>
    <id>urn:uuid:de:dlr:geoservice:news:43</id>
    <updated>2023-02-15T11:06:00Z</updated>
    <content type="html">&lt;p&gt;The World Settlement Footprint (WSF) 3D  datasets provide detailed quantification of the average height, total volume, total area and the fraction of buildings at 90 m resolution at a global scale. It is generated using a modified version of the World Settlement Footprint human settlements mask derived from Sentinel-1 and Sentinel-2 satellite imagery in combination with digital elevation data and radar imagery collected by the TanDEM-X mission. &lt;a href="https://www.sciencedirect.com/science/article/pii/S0034425721005976?via%3Dihub"&gt;[1]&lt;/a&gt;.
In addition to the 2D view in the WMS, the data is also accessible to the user in a 3D view. It is a derivative of the WSF3D raster dataset tailored for the web. As a tiled vector dataset, it enables dynamic client-side visualization of the WSF3D metrics.
The WSF 3D datasets can be explored via EOC GeoService Webapp &lt;a href=" https://geoservice.dlr.de/web/maps/eoc:wsf3d"&gt;[2]&lt;/a&gt;, via the 3D Viewer &lt;a href=" https://wis.eoc.dlr.de/wsf3d"&gt;[3]&lt;/a&gt; or can be downloaded directly from the EOC Download Service &lt;a href=" https://download.geoservice.dlr.de/WSF3D/files/"&gt;[4]&lt;/a&gt;.
                 &lt;/p&gt;</content>
    <summary>Release of the World Settlement Footprint 3D Data Sets in the EOC Geoservice</summary>
  </entry>
  <entry>
    <title>Release of the IceLines Data Set</title>
    <link rel="self" type="text/html" href="https://geoservice.dlr.de/web/news/42" />
    <link rel="enclosure" href="https://geoservice.dlr.de/resources/feeds/thumbs/icelines_ql.jpg" length="1000" />
    <link rel="related" href="https://doi.org/10.1109/TGRS.2021.3064606" title="[1] Scientific publicaton on Combined Segmentation and Edge Detection for Monitoring the Antarctic Coastline (Heidler et al. 2021)" />
    <link rel="related" href="https://doi.org/10.3390/rs11212529" title="[2] Scientific publication on Automated Extraction of Antarctic Glacier and Ice Shelf Fronts from Sentinel-1 Imagery Using Deep Learning (Baumhoer et al. 2019)" />
    <link rel="related" href="https://geoservice.dlr.de/web/maps/eoc:icelines" title="[3] EOC Geoservice Webapp - IceLines" />
    <link rel="related" href="https://download.geoservice.dlr.de/icelines/files/" title="[4] IceLines Download Service" />
    <link rel="related" href="https://www.dlr.de/eoc/en/desktopdefault.aspx/tabid-18220/29005_read-80071" title="[5] EOC News article - IceLines available at EOC GeoService" />
    <category term="data" />
    <author>
      <name />
    </author>
    <id>urn:uuid:de:dlr:geoservice:news:42</id>
    <updated>2022-09-14T11:06:00Z</updated>
    <content type="html">&lt;p&gt;The IceLines dataset provides information on Antarctic ice shelf front dynamics. This allows conclusions on iceberg calving mechanisms and to observe changes in the Antarctic coastline. On the basis of Sentinel-1 data, the fronts of the largest ice shelves of Antarctica are continuously mapped with a deep learning approach (HED-Unet) &lt;a href="https://doi.org/10.1109/TGRS.2021.3064606"&gt;[1]&lt;/a&gt; &lt;a href="https://doi.org/10.3390/rs11212529"&gt;[2]&lt;/a&gt;. The generated dataset includes front positions for 36 ice shelves with a daily, monthly, seasonal and annual temporal resolution since the launch of Sentinel-1 in 2014. IceLines is updated on a monthly basis and can be explored via the EOC GeoService Webapp &lt;a href=" https://geoservice.dlr.de/web/maps/eoc:icelines"&gt;[3]&lt;/a&gt; or directly downloaded from the EOC Download Service &lt;a href=" https://download.geoservice.dlr.de/icelines/files/"&gt;[4]&lt;/a&gt;. Further information on the product is available on a separate DLR website &lt;a href="https://www.dlr.de/eoc/en/desktopdefault.aspx/tabid-18220/29005_read-80071"&gt;[5]&lt;/a&gt;.
                        &lt;/p&gt;</content>
    <summary>Release of the IceLines Data Set in the EOC Geoservice</summary>
  </entry>
  <entry>
    <title>Release of the Tree Canopy Cover Loss Map for Germany</title>
    <link rel="self" type="text/html" href="https://geoservice.dlr.de/web/news/41" />
    <link rel="enclosure" href="https://geoservice.dlr.de/resources/feeds/thumbs/tccl_ger_p1m_ql.png" length="1000" />
    <link rel="related" href="https://geoservice.dlr.de/web/maps/eoc:tcclde" title="[1] EOC Geoservice Webapp - Tree Canopy Cover Loss - Germany, 2018-2021" />
    <link rel="related" href="https://download.geoservice.dlr.de/TCCL/files/" title="[2] Tree Canopy Cover Loss - Germany Download Service" />
    <link rel="related" href="https://www.dlr.de/content/de/artikel/news/2022/01/20220221_sorge-um-den-deutschen-wald.html" title="[3] DLR News - Sorge um den deutschen Wald" />
    <category term="data" />
    <author>
      <name />
    </author>
    <id>urn:uuid:de:dlr:geoservice:news:41</id>
    <updated>2022-08-09T12:00:00Z</updated>
    <content type="html">&lt;p&gt;The product shows monthly tree canopy cover loss information between January 2018 and April 2021 for Germany. The dataset is based on image composites of the disturbance index (DI) derived from Sentinel-2 and Landsat-8 time series. In addition, different maps of tree canopy cover loss in Germany per district (Landkreis) are available depicting the losses for different forest types in absolute numbers and in percentages. &lt;/p&gt;
                        &lt;p&gt;The datasets are now available in the EOC Geoservice Webapp &lt;a href="https://geoservice.dlr.de/web/maps/eoc:tcclde"&gt;[1]&lt;/a&gt; and can also be downloaded from the EOC Download Service &lt;a href="https://download.geoservice.dlr.de/TCCL/files/"&gt;[2]&lt;/a&gt;. Further information on the product is available on the DLR news website &lt;a href="https://www.dlr.de/content/de/artikel/news/2022/01/20220221_sorge-um-den-deutschen-wald.html"&gt;[3]&lt;/a&gt;.
                        &lt;/p&gt;</content>
    <summary>Release of the Tree Canopy Cover Loss Map for Germany in the EOC Geoservice</summary>
  </entry>
  <entry>
    <title>Release of the UrMo Digital Traffic Area Map for Braunschweig, Germany</title>
    <link rel="self" type="text/html" href="https://geoservice.dlr.de/web/news/40" />
    <link rel="enclosure" href="https://geoservice.dlr.de/resources/feeds/thumbs/urmo_tam_ql.png" length="1000" />
    <link rel="related" href="https://geoservice.dlr.de/web/maps/eoc:urmotam" title="[1] EOC Geoservice Webapp - UrMo Digital - Traffic Area Map (TAM) - Brunswick, Germany" />
    <link rel="related" href="https://download.geoservice.dlr.de/URMO_DIGITAL/files/" title="[2] UrMo Digital Download Service" />
    <link rel="related" href="https://verkehrsforschung.dlr.de/de/projekte/urmo-digital" title="[3] DLR Verkehr - UrMo Digital project website" />
    <category term="data" />
    <author>
      <name />
    </author>
    <id>urn:uuid:de:dlr:geoservice:news:40</id>
    <updated>2022-08-01T12:00:00Z</updated>
    <content type="html">&lt;p&gt;The Traffic Area Map is a dataset providing information about the inventory of different traffic areas for the city of Brunswick, Germany. The map is based on aerial image sequences acquired with the DLR 3K camera system during six flight campaigns at different times of the day and year in 2019 and 2020.&lt;/p&gt;
                        &lt;p&gt;The dataset is now available in the EOC Geoservice Webapp &lt;a href="https://geoservice.dlr.de/web/maps/eoc:urmotam"&gt;[1]&lt;/a&gt; and can also be downloaded from the EOC Download Service &lt;a href="https://download.geoservice.dlr.de/URMO_DIGITAL/files/"&gt;[2]&lt;/a&gt;. Further information on the UrMo Digital project is available on a separate DLR website &lt;a href="https://verkehrsforschung.dlr.de/de/projekte/urmo-digital"&gt;[3]&lt;/a&gt;.
                        &lt;/p&gt;</content>
    <summary>Release of Traffic Area Map for Brunswick, Germany in the EOC Geoservice</summary>
  </entry>
  <entry>
    <title>Release of the Global SnowPack (GSP)</title>
    <link rel="self" type="text/html" href="https://geoservice.dlr.de/web/news/39" />
    <link rel="enclosure" href="https://geoservice.dlr.de/resources/feeds/thumbs/gsp_ql.png" length="1000" />
    <link rel="related" href="https://geoservice.dlr.de/web/maps/eoc:gsp:yearly" title="[1] EOC Geoservice Webapp - Global SnowPack Yearly" />
    <link rel="related" href="https://geoservice.dlr.de/web/maps/eoc:gsp:daily" title="[2] EOC Geoservice Webapp - Global SnowPack Daily" />
    <link rel="related" href="https://geoservice.dlr.de/web/maps/eoc:gsp:mean" title="[3] EOC Geoservice Webapp - Global SnowPack Mean" />
    <link rel="related" href="https://download.geoservice.dlr.de/GSP/files/" title="[4] Global SnowPack Download Service" />
    <link rel="related" href="https://www.dlr.de/eoc/en/desktopdefault.aspx/tabid-18220/29005_read-77046" title="[5] EOC News article - Global SnowPack available from EOC Geoservice" />
    <category term="data" />
    <author>
      <name />
    </author>
    <id>urn:uuid:de:dlr:geoservice:news:39</id>
    <updated>2022-04-29T15:56:00Z</updated>
    <content type="html">&lt;p&gt;The new version of the Global SnowPack displays snow parameters like duration and extent globally. The yearly products show the snow cover duration for the entire hydrological year, early snow cover duration and the late snow cover duration. &lt;a href="https://geoservice.dlr.de/web/maps/eoc:gsp:yearly"&gt;[1]&lt;/a&gt;. The daily products show the snow cover extent, which is processed in near real time &lt;a href="https://geoservice.dlr.de/web/maps/eoc:gsp:daily"&gt;[2]&lt;/a&gt;. Additionally, the GSP mean has been released, which is updated each year and consists of the arithmetic mean for the entire time series &lt;a href="https://geoservice.dlr.de/web/maps/eoc:gsp:mean"&gt;[3]&lt;/a&gt;.&lt;/p&gt;
                        &lt;p&gt;The datasets is now available in the EOC Geoservice Webapp and can also be downloaded from the EOC Download Service &lt;a href="https://download.geoservice.dlr.de/GSP/files/"&gt;[4]&lt;/a&gt;.
                        Further information on the product is available on a separate DLR website &lt;a href="https://www.dlr.de/eoc/en/desktopdefault.aspx/tabid-18220/29005_read-77046"&gt;[5]&lt;/a&gt;.
                        &lt;/p&gt;</content>
    <summary>The Global SnowPack has been released in the EOC Geoservice</summary>
  </entry>
  <entry>
    <title>EOC Download Service: Map search interface for Sentinel-2 L2A MAJA data</title>
    <link rel="self" type="text/html" href="https://geoservice.dlr.de/web/news/38" />
    <link rel="enclosure" href="https://geoservice.dlr.de/resources/feeds/thumbs/s2_maja_mapview_500x500px.jpg" length="1000" />
    <link rel="related" href="https://download.geoservice.dlr.de/S2_L2A_MAJA/" title="[1] EOC Download Service Sentinel-2 L2A MAJA Tiles map search (Germany)" />
    <link rel="related" href="https://download.geoservice.dlr.de/S2_L2A_MAJA/files/" title="[2] EOC Download Service Sentinel-2 L2A MAJA Tiles folder search (Germany)" />
    <link rel="related" href="https://www.dlr.de/eoc/en/desktopdefault.aspx/tabid-13247/23165_read-58659/" title="[3] EOC news article on Sentinel-2 L2A MAJA Tiles over Germany" />
    <category term="data" />
    <author>
      <name />
    </author>
    <id>urn:uuid:de:dlr:geoservice:news:38</id>
    <updated>2021-12-10T15:56:00Z</updated>
    <content type="html">&lt;p&gt;A new map-based search interface for atmosphere-corrected (MAJA) Sentinel-2 data over Germany now facilitates the selection of scenes for download. New features like a time slider and easy to handle view options for quicklooks bring additional comfort while browsing for images. The new map interface can be accessed within the EOC Download Service &lt;a href="https://download.geoservice.dlr.de/S2_L2A_MAJA/"&gt;[1]&lt;/a&gt;. In addition, the interface prior in place, which allowed to browse for scenes through a structure of folders remains available too &lt;a href="https://download.geoservice.dlr.de/S2_L2A_MAJA/files/"&gt;[2]&lt;/a&gt;.&lt;/p&gt;
                        &lt;p&gt;The MAJA atmospheric-correction processor, developed by DLR in cooperation with CNES, calculates "Bottom of Atmosphere" reflectance for Sentinel-2 images based on image stack analysis. Further information on this dataset is available at this site &lt;a href="https://www.dlr.de/eoc/en/desktopdefault.aspx/tabid-13247/23165_read-58659/"&gt;[3]&lt;/a&gt;.&lt;/p&gt;</content>
    <summary>Map search interface for S2 MAJA has been released in the EOC Download Service</summary>
  </entry>
  <entry>
    <title>Release of the World Settlement Footprint (WSF) 2019 and Evolution</title>
    <link rel="self" type="text/html" href="https://geoservice.dlr.de/web/news/36" />
    <link rel="enclosure" href="https://geoservice.dlr.de/resources/feeds/thumbs/WSFevolution_Shanghai_800x800.jpg" length="1000" />
    <link rel="related" href="https://geoservice.dlr.de/web/maps/eoc:wsf2019" title="[1] EOC Geoservice Map Context - World Settlement Footprint (WSF) 2019" />
    <link rel="related" href="https://geoservice.dlr.de/web/maps/eoc:wsfevolution" title="[2] EOC Geoservice Map Context - World Settlement Footprint (WSF) Evolution" />
    <link rel="related" href="https://download.geoservice.dlr.de/WSF2019/files/" title="[3] EOC Download Service - World Settlement Footprint (WSF) 2019" />
    <link rel="related" href="https://download.geoservice.dlr.de/WSF_EVO/files/" title="[4] EOC Download Service - World Settlement Footprint (WSF) Evolution" />
    <category term="data" />
    <author>
      <name />
    </author>
    <id>urn:uuid:de:dlr:geoservice:news:36</id>
    <updated>2021-11-15T16:47:00Z</updated>
    <content type="html">&lt;p&gt;The World Settlement Footprint (WSF) 2019 and Evolution are global maps of human settlements which have been generated by means of an advanced classification technique that jointly exploits multi decadal open and free optical and radar imagery. While the World Settlement Footprint (WSF) 2019 is a 10m resolution binary mask outlining the extent of human settlements globally derived by means of 2019 multitemporal Sentinel-1 and Sentinel-2 imagery, the World Settlement Footprint Evolution depicts the global settlement extent on a yearly basis from 1985 to 2015 at a spatial resolution of 30 meters.
                        The dataset can be visualized in the EOC Geoservice Webapp &lt;a href="https://geoservice.dlr.de/web/maps/eoc:wsf2019"&gt;[1]&lt;/a&gt; &lt;a href="https://geoservice.dlr.de/web/maps/eoc:wsfevolution"&gt;[2]&lt;/a&gt; and can also be downloaded from the EOC Download Service &lt;a href="https://download.geoservice.dlr.de/WSF2019/files/"&gt;[3]&lt;/a&gt; &lt;a href="https://download.geoservice.dlr.de/WSF_EVO/files/"&gt;[4]&lt;/a&gt;.
                        &lt;/p&gt;</content>
    <summary>The World Settlement Footprint (WSF) 2019 and Evolution have been released in the EOC Geoservice and Download Service</summary>
  </entry>
  <entry>
    <title>Release of the TanDEM-X PolarDEM 90m of Antarctica</title>
    <link rel="self" type="text/html" href="https://geoservice.dlr.de/web/news/32" />
    <link rel="enclosure" href="https://geoservice.dlr.de/resources/feeds/thumbs/polardem90_antarctica_ql.jpg" length="1000" />
    <link rel="related" href="https://www.dlr.de/eoc/de/desktopdefault.aspx/tabid-11882/20871_read-66374" title="[1] TanDEM-X PolarDEM website" />
    <link rel="related" href="https://geoservice.dlr.de/web/maps/tdm:polardem90:antarctica" title="[2] EOC Geoservice Map Context - TanDEM-X PolarDEM 90m of Antarctica" />
    <link rel="related" href="https://download.geoservice.dlr.de/TDM_POLARDEM90/ANTARCTICA/" title="[3] EOC Download Service - TanDEM-X PolarDEM 90m of Antarctica" />
    <category term="data" />
    <author>
      <name />
    </author>
    <id>urn:uuid:de:dlr:geoservice:news:32</id>
    <updated>2020-12-11T15:47:00Z</updated>
    <content type="html">The TanDEM-X PolarDEM 90m of Antarctica is a gap-free digital elevation model (DEM) product of Antarctica generated from the TanDEM-X mission in 90 meter resolution. The DEM product was derived from the global TanDEM-X DEM undergoing a gap-filling process with additional TanDEM-X acquisitions and an editing especially of noisy ocean values. The DEM represents elevation values mainly from data acquired in 2013 and 2014. The TanDEM-X PolarDEM is a project developed by the German Remote Sensing Data Center (DFD) at the German Aerospace Center (DLR) within the activities of the TanDEM-X mission. It is a framework for the provision of derivatives of the global Digital Elevation Model (DEM) of the TanDEM-X mission for Polar Regions [1].
                        The dataset can be visualized in the EOC Geoservice Webapp [2] and after registration, also be downloaded from the EOC Download Service [3].</content>
    <summary>TanDEM-X PolarDEM 90m of Antarctica has been released in the EOC Geoservice and Download Service</summary>
  </entry>
  <entry>
    <title>Release of TimeScan Landsat data</title>
    <link rel="self" type="text/html" href="https://geoservice.dlr.de/web/news/31" />
    <link rel="enclosure" href="https://geoservice.dlr.de/resources/feeds/thumbs/timescan_ql.JPG" length="1000" />
    <link rel="related" href="https://geoservice.dlr.de/web/maps/eoc:timescan:landsat/" title="[1] EOC Geoservice Map Context - TimeScan Landsat 2015" />
    <link rel="related" href="https://geoservice.dlr.de/eoc/land/wms?SERVICE=WMS&amp;REQUEST=GetCapabilities" title="[2] EOC Land Map Service (WMS)" />
    <category term="service" />
    <author>
      <name />
    </author>
    <id>urn:uuid:de:dlr:geoservice:news:31</id>
    <updated>2020-11-04T09:51:00Z</updated>
    <content>The TimeScan Landsat 2015 layer [1, 2] is a higher-processing level baseline product providing a harmonized representation of the spectral and temporal properties of the land surface. The global TimeScan Landsat 2015 dataset was derived from over 450,000 Landsat-8 images (~500TB) collected from 2013 to 2015. The product condenses the information content of the original images to a 20th of their original size. The TimeScan Landsat 2015 layer can be analyzed in the form of a single, global, cloud-free dataset based on statistical ranges of 6 indices for such aspects as the state of vegetation, water cover, or human settlement (built-up areas). For each of the recorded indices the statistics provide the minimal, maximal and mean values along with the standard deviation and the mean slope determined for the entire period from 2013 to 2015. The TimeScan procedure is designed to help end users exploit information from masses of data that until now were too unwieldy for them to handle.</content>
    <summary>The TimeScan Landsat product has been released in the EOC Geoservice.</summary>
  </entry>
  <entry>
    <title>Release of MetOp-C GOME-2 data</title>
    <link rel="self" type="text/html" href="https://geoservice.dlr.de/web/news/30" />
    <link rel="enclosure" href="https://geoservice.dlr.de/resources/feeds/thumbs/metop_gome2_context.jpg" length="1000" />
    <link rel="related" href="https://geoservice.dlr.de/web/maps/metop:gome2.tc.daily" title="[1] EOC Geoservice Map Context - MetOp GOME-2 Daily Total Column Composites" />
    <link rel="related" href="https://www.dlr.de/eoc/en/desktopdefault.aspx/tabid-14195/24618_read-65956/" title="[2] DLR news release on MetOp-C availability" />
    <link rel="related" href="https://geoservice.dlr.de/eoc/atmosphere/wms?SERVICE=WMS&amp;REQUEST=GetCapabilities" title="[3] EOC Atmosphere Map Service (WMS)" />
    <link rel="related" href="https://geoservice.dlr.de/eoc/atmosphere/wcs?SERVICE=WCS&amp;REQUEST=GetCapabilities" title="[4] EOC Atmosphere Coverage Service (WCS)" />
    <category term="data" />
    <author>
      <name />
    </author>
    <id>urn:uuid:de:dlr:geoservice:news:30</id>
    <updated>2020-05-27T10:47:00Z</updated>
    <content type="html">&lt;p&gt;The EOC Geoservice map context "MetOp GOME-2 Daily Total Column Composites" &lt;a href="https://geoservice.dlr.de/web/maps/metop:gome2.tc.daily"&gt;[1]&lt;/a&gt; shows composites calculated from daily products of different trace gases and cloud properties measured by the "Global Ozone Monitoring Experiment-2" (GOME-2) instruments onboard EUMETSAT's MetOp satellite series. The products data stream has now been accomplished by EUMETSAT's MetOp-C satellite unit which was launched in November 2018 and secures the future data flow at least until the year 2025. Please see the according news release &lt;a href="https://www.dlr.de/eoc/en/desktopdefault.aspx/tabid-14195/24618_read-65956/"&gt;[2]&lt;/a&gt; for further information.&lt;/p&gt;

                        In addition to the introduction of MetOp-C, the following changes have been performed to the MetOp GOME-2 WMS/WCS services:&lt;br&gt;
                        &lt;p&gt;&lt;ul&gt;
                        &lt;li&gt; The publication of MetOp-A maps in the Geoservice ended on 2020-04-07 and is superseded by MetOp-C.&lt;/li&gt;
                        &lt;li&gt; The publication of MetOp-AB maps (combined composite products of MetOp-A and MetOp-B) ended on 2020-04-07 and is superseded by combined products using data from MetOp-B and MetOp-C. The existing older MetOp-AB and new MetOp-BC products are now available in a new "Combined" map layer as a continuous time-series.&lt;/li&gt;
                        &lt;li&gt; NRT-products are no longer available as separate "LATEST/PREVIOUS"-layers, but are now included in the regular layers of the Daily ("P1D") products.&lt;/li&gt;
                        &lt;/ul&gt;&lt;/p&gt;
                        &lt;p&gt;The new layer names and titles are defined using the following schema:&lt;br&gt;
                        &lt;p&gt;MetOp-B/C GOME-2:&lt;br&gt;
                        Layer Name: &lt;i&gt;METOP-[B/C]_GOME-2_L2C_P1D_[PARAMETER]&lt;/i&gt;&lt;br&gt;
                        Layer Title: &lt;i&gt;MetOp-[B/C] GOME-2 L2C Daily [PARAMETER]&lt;/i&gt;&lt;/p&gt;

                        &lt;p&gt;MetOp GOME-2 Combined:&lt;br&gt;
                        Layer Name: &lt;i&gt;METOP_GOME-2_L2C_P1D_COMB_[PARAMETER]&lt;/i&gt;&lt;br&gt;
                        Layer Title: &lt;i&gt;MetOp GOME-2 L2C Daily [PARAMETER] Combined&lt;/i&gt;&lt;/p&gt;&lt;/p&gt;

                        &lt;p&gt;The collections can be visualized in the EOC Geoservice Webapp &lt;a href="https://geoservice.dlr.de/web/maps/metop:gome2.tc.daily"&gt;[1]&lt;/a&gt; and accessed via OGC web services &lt;a href="https://geoservice.dlr.de/eoc/atmosphere/wms?SERVICE=WMS&amp;amp;REQUEST=GetCapabilities"&gt;[3]&lt;/a&gt; &lt;a href="https://geoservice.dlr.de/eoc/atmosphere/wcs?SERVICE=WCS&amp;amp;REQUEST=GetCapabilities"&gt;[4]&lt;/a&gt;.&lt;/p&gt;</content>
    <summary>Release of MetOp-C GOME-2 data and restructuring of available MetOp GOME-2 collections</summary>
  </entry>
  <entry>
    <title>New EOC Download Service available</title>
    <link rel="self" type="text/html" href="https://geoservice.dlr.de/web/news/29" />
    <link rel="enclosure" href="https://geoservice.dlr.de/resources/feeds/thumbs/EOC_download_service_screenshot.jpg" length="1000" />
    <link rel="related" href="https://download.geoservice.dlr.de/TDM90/" title="[1] EOC Download Service - TDM90" />
    <link rel="related" href="https://download.geoservice.dlr.de/SRTM_XSAR/" title="[2] EOC Download Service - SRTM X-SAR DEM" />
    <category term="service" />
    <author>
      <name />
    </author>
    <id>urn:uuid:de:dlr:geoservice:news:29</id>
    <updated>2018-09-26T17:47:00Z</updated>
    <content>Concurrent with the publication of the TanDEM-X 90m digital elevation model (DEM), the new EOC Download Service has been introduced. Using the new service, raster data provided by the EOC Geoservice can be downloaded with just a few mouse clicks through an easy-to-use webinterface. Besides the TanDEM-X 90m DEM [1], also SRTM X-SAR elevation data [2] are made available with the initial release of the new service. Further datasets will follow.</content>
    <summary>The EOC Download Service has been introduced.</summary>
  </entry>
  <entry>
    <title>TanDEM-X 90m Digital Elevation Model released</title>
    <link rel="self" type="text/html" href="https://geoservice.dlr.de/web/news/28" />
    <link rel="enclosure" href="https://geoservice.dlr.de/resources/feeds/thumbs/TanDEM-X_90m_ql.jpg" length="1000" />
    <link rel="related" href="https://download.geoservice.dlr.de/TDM90/" title="[1] EOC Download Service" />
    <link rel="related" href="https://geoservice.dlr.de/eoc/elevation/wms?SERVICE=WMS&amp;REQUEST=GetCapabilities" title="[2] EOC Elevation Map Service (WMS)" />
    <link rel="related" href="https://tiles.geoservice.dlr.de/service/wmts?SERVICE=WMTS&amp;REQUEST=GetCapabilities" title="[3] EOC Tile Cache (WMTS)" />
    <link rel="related" href="https://geoservice.dlr.de/web/maps/tdm:dem90" title="[4] EOC Geoservice Webapp" />
    <category term="service" />
    <author>
      <name />
    </author>
    <id>urn:uuid:de:dlr:geoservice:news:28</id>
    <updated>2018-09-26T17:03:00Z</updated>
    <content>On 28 September 2018, DLR has released the global elevation model of the TanDEM-X mission in 90 meter resolution to the public. After registration, the data set can be downloaded free of charge from DLR EOC's new download service [1]. In addition, the eight original TanDEM-X information layers are provided via OGC web services [2, 3] and can be visualized in the EOC Geoservice Webapp [4].</content>
    <summary>The TanDEM-X 90m Digital Elevation Model has been released in the EOC Geoservice and Download Service</summary>
  </entry>
  <entry>
    <title>Extended Timeseries Support</title>
    <link rel="self" type="text/html" href="https://geoservice.dlr.de/web/news/27" />
    <link rel="enclosure" href="https://geoservice.dlr.de/static/feeds/thumbs/chart_example.jpg" length="1000" />
    <link rel="related" href="https://docs.geoserver.org/stable/en/user/community/ncwms/index.html" title="[1] GeoServer ncWMS Extension" />
    <link rel="related" href="https://docs.geoserver.org/stable/en/user/tutorials/animreflector.html" title="[2] GeoServer Animator" />
    <link rel="related" href=" https://geotest.eoc.dlr.de/eoc/land/wms/animate?LAYERS=NOAA_AVHRR_SST_MED_MONTHLY&amp;aparam=time&amp;avalues=1993-09-01T00:00:00.000Z,1993-10-01T00:00:00.000Z,1993-11-01T00:00:00.000Z,1993-12-01T00:00:00.000Z,1994-01-01T00:00:00.000Z,1994-02-01T00:00:00.000Z,1994-03-01T00:00:00.000Z,1994-04-01T00:00:00.000Z,1994-05-01T00:00:00.000Z,1994-06-01T00:00:00.000Z,1994-07-01T00:00:00.000Z,1994-08-01T00:00:00.000Z&amp;format=image/gif;subtype=animated&amp;format_options=gif_loop_continuosly:true" title="[3] Animation Request Example" />
    <link rel="related" href="https://geotest.eoc.dlr.de/eoc/land/wms?SERVICE=WMS&amp;VERSION=1.1.0&amp;REQUEST=GetTimeSeries&amp;FORMAT=image%2Fpng&amp;TRANSPARENT=true&amp;QUERY_LAYERS=NOAA_AVHRR_SST_MED_MONTHLY&amp;LAYERS=NOAA_AVHRR_SST_MED_MONTHLY&amp;STYLES=sst&amp;TIME=1993-04/1994-04&amp;INFO_FORMAT=image%2Fpng&amp;X=50&amp;Y=50&amp;SRS=EPSG%3A4326&amp;WIDTH=101&amp;HEIGHT=101&amp;BBOX=14.705199536190122%2C43.26136583217984%2C15.260009106502622%2C43.81617540249234" title="[4] GetTimeSeries Request Example" />
    <category term="service" />
    <author>
      <name />
    </author>
    <id>urn:uuid:de:dlr:geoservice:news:27</id>
    <updated>2018-05-09T12:00:00Z</updated>
    <content>The EOC Geoservice now supports requesting timeseries for all temporal enabled layers via the GeoServer ncWMS extension [1], [2]. Additionally, the map pages now include basic support for the GeoTimeSeries operation and plotting of interactive timeseries graphs. It can be activated by double-clicking on the map. This will request a graph representing the latest 30 days for daily layers and latest 12 months for monthly layers. Together with the already supported animation capabilities of GeoServer [3], users now have more advanced possibilities to visualise temporal datasets [4].</content>
    <summary>The EOC Geoservice Homepage has been re-launched supporting new components</summary>
  </entry>
  <entry>
    <title>AVHRR - Monthly Mediterranean Sea Surface Temperature (SST)</title>
    <link rel="self" type="text/html" href="https://geoservice.dlr.de/web/news/26" />
    <link rel="enclosure" href="https://geoservice.dlr.de/static/feeds/thumbs/avhrr_sst.jpg" length="1000" />
    <link rel="related" href="https://geotest.eoc.dlr.de/web/maps/dsda:avhrr:sst" title="AVHRR - Monthly Mediterranean Sea Surface Temperature" />
    <link rel="related" href="https://geoservice.dlr.de/eoc/land/wms?SERVICE=WMS&amp;REQUEST=GetCapabilities" title="Land WMS" />
    <link rel="related" href="https://www.dlr.de/eoc/en/desktopdefault.aspx/tabid-9136/19476_read-45195/" title="AVHRR and TIMELINE" />
    <link rel="related" href="https://www.dlr.de/eoc/en/desktopdefault.aspx/tabid-9035/15754_read-38904/" title="TIMELINE" />
    <category term="service" />
    <author>
      <name />
    </author>
    <id>urn:uuid:de:dlr:geoservice:news:26</id>
    <updated>2018-05-08T15:30:00Z</updated>
    <content>D-SDA has been archiving data of the Advanced Very High Resolution Radiometer (AVHRR) on board of the National Oceanic and Atmospheric Administration (NOAA) fleet of Polar Operational Environmental Satellites (POES) since 1983. For three decades DLR has been generating and archiving regional coverages of daily AVHRR level 3 products such as vegetation index, sea surface temperature and land surface temperature. D-SDA is now making available a subset of its AVHRR level 3 data archive via geospatial web services provided by the EOC Geoservice. "AVHRR - Monthly Mediterranean SST" is an AVHRR subset from 1993 to 2014 integrated in the EOC Geoservice to facilitate valuable time series exploitation of historic data. Additionally, integrating these data serves as a prototype for the DLR "TIMELINE" project.</content>
    <summary>Monthly Average Mediterranean Sea Surface Temperature products harmonized and released.</summary>
  </entry>
  <entry>
    <title>Global Urban Footprint® dataset released</title>
    <link rel="self" type="text/html" href="https://geoservice.dlr.de/web/news/25" />
    <link rel="enclosure" href="https://geoservice.dlr.de/static/feeds/thumbs/GUF_DLR_Example_Delhi_512x512.jpg" length="1000" />
    <link rel="related" href="https://geoservice.dlr.de/web/maps/eoc:guf:3857" title="Global Urban Footprint® in EPSG:3857" />
    <link rel="related" href="https://geoservice.dlr.de/web/maps/eoc:guf:4326" title="Global Urban Footprint® in EPSG:4326" />
    <link rel="related" href="https://geoservice.dlr.de/eoc/land/ows?service=WMS&amp;request=GetCapabilities" title="Land WMS" />
    <link rel="related" href="https://www.dlr.de/eoc/en/desktopdefault.aspx/tabid-9628/16557_read-40454/" title="Global Urban Footprint® Homepage" />
    <category term="service" />
    <author>
      <name />
    </author>
    <id>urn:uuid:de:dlr:geoservice:news:25</id>
    <updated>2016-12-14T12:00:00Z</updated>
    <content>The Global Urban Footprint® (GUF®) database shows the human settlements patterns in urban and rural environments in a so far unprecedented spatial resolution of about 12m per raster cell (0.4 arcseconds). A second version of the product is available in 2.8 arcseconds raster cell resolution (about 84 m). The GUF® dataset is based on the radar (SAR) satellite imagery of the German satellites TerraSAR-X and TanDEMr-X. It reflects the distribution of vertical built-up structures around the year 2012, with 93% of the satellite images recorded in 2011 and 2012, and remaining data gaps filled in 2013 and 2014.</content>
    <summary>Global Urban Footprint® dataset released</summary>
  </entry>
  <entry>
    <title>Global SnowPack datasets released</title>
    <link rel="self" type="text/html" href="https://geoservice.dlr.de/web/news/24" />
    <link rel="enclosure" href="https://geoservice.dlr.de/static/feeds/thumbs/2016_11_14_GSP_mean_square_map_for_geoservice_s.png" length="1000" />
    <link rel="related" href="https://geoservice.dlr.de/eoc/land/ows?service=WMS&amp;request=GetCapabilities" title="Land WMS" />
    <link rel="related" href="https://nsidc.org/data/MOD10A1" title="MOD10A1 Details" />
    <link rel="related" href="https://nsidc.org/data/MYD10A1" title="MYD10A1 Details" />
    <category term="service" />
    <author>
      <name />
    </author>
    <id>urn:uuid:de:dlr:geoservice:news:24</id>
    <updated>2016-11-15T12:00:00Z</updated>
    <content>The Global SnowPack is a set of snow cover parameters made available on a global scale. It is based on daily, medium resolution remote sensing datasets (MOD10A1 and MYD10A1) provided by the National Snow and Ice Data Center (NSIDC). The data was reprocessed to clear data gaps caused by clouds and polar darkness and now informs about snow cover duration as well as early and late season snow cover duration for each hydrological year (September 1st of a calendar year to August 31st of the subsequent year) since 2000.</content>
    <summary>The Global SnowPack datasets are now released and available through the Geoservice.</summary>
  </entry>
  <entry>
    <title>Additional Projections in EOC Tilecache</title>
    <link rel="self" type="text/html" href="https://geoservice.dlr.de/web/news/23" />
    <link rel="enclosure" href="https://geoservice.dlr.de/static/feeds/thumbs/basemap-projections.jpg" length="1000" />
    <link rel="related" href="https://geotest.eoc.dlr.de/web/maps/eoc:basemaps:3035" title="EOC Basemaps in EPSG:3035" />
    <link rel="related" href="https://geotest.eoc.dlr.de/web/maps/eoc:basemaps:3857" title="EOC Basemaps in EPSG:3857" />
    <link rel="related" href="https://geotest.eoc.dlr.de/web/maps/eoc:basemaps:3995" title="EOC Basemaps in EPSG:3995" />
    <link rel="related" href="https://geotest.eoc.dlr.de/web/maps/eoc:basemaps:3031" title="EOC Basemaps in EPSG:3031" />
    <link rel="related" href="https://tiles.geoservice.dlr.de/service/wmts?SERVICE=WMTS&amp;REQUEST=GetCapabilities" title="WMTS Capabilities" />
    <category term="service" />
    <author>
      <name />
    </author>
    <id>urn:uuid:de:dlr:geoservice:news:23</id>
    <updated>2016-06-06T12:00:00Z</updated>
    <content>The EOC Tilecache now supports additional projections through the WMTS interface: ETRS89 / LAEA Europe (EPSG:3035), WGS 84 / Pseudo-Mercator (EPSG:3857), WGS 84 / Antarctic Polar Stereographic (EPSG:3031), WGS 84 / Arctic Polar Stereographic (EPSG:3995). See the related links and WMTS Capabilities for details.</content>
    <summary>Support for additional projections in EOC Tilecache</summary>
  </entry>
  <entry>
    <title>EOC Basemap Updated</title>
    <link rel="self" type="text/html" href="https://geoservice.dlr.de/web/news/22" />
    <link rel="enclosure" href="https://geoservice.dlr.de/static/feeds/thumbs/basemap-210.jpg" length="1000" />
    <link rel="related" href="https://geoservice.dlr.de/web/about#basemaps" title="About EOC Basemaps" />
    <link rel="related" href="https://tiles.geoservice.dlr.de/service/wmts?SERVICE=WMTS&amp;REQUEST=GetCapabilities" title="WMTS Capabilities" />
    <link rel="related" href="https://geoservice.dlr.de/eoc/basemap/wms?service=WMS&amp;request=GetCapabilities" title="WMS Capabilities" />
    <link rel="related" href="https://www.geo-solutions.it/" title="GeoSolutions" />
    <link rel="related" href="https://docs.geoserver.org/latest/en/user/styling/sld-extensions/z-order/index.html" title="GeoServer Z-Ordering" />
    <category term="service" />
    <author>
      <name />
    </author>
    <id>urn:uuid:de:dlr:geoservice:news:22</id>
    <updated>2016-06-01T12:00:00Z</updated>
    <content>The EOC Geoservice Basemap styles have been updated and improved. The 'basemap' and 'baseoverlay' layers now provide more details on large map scales, multilingual support, correct stacking (z-ordering) of roads and fixes that help to render the maps in different projections. Furthermore neutrally colored 'litemap' and 'liteoverlay' layers have been added for small scale data visualisations. The new basemap styles are written in CSS utilizing GeoServer z-ordering and multi-script support that has been developed by GeoSolutions on behalf of DLR.</content>
    <summary>New EOC Geoservice Basemap now online</summary>
  </entry>
  <entry>
    <title>GOME2 - Tropical Tropospheric Ozone</title>
    <link rel="self" type="text/html" href="https://geoservice.dlr.de/web/news/21" />
    <link rel="enclosure" href="https://geoservice.dlr.de/static/feeds/thumbs/GOME_2_tropO3_Tropics.png" length="1000" />
    <link rel="related" href="https://wdc.dlr.de/sensors/gome/" title="GOME Details" />
    <link rel="related" href="https://geoservice.dlr.de/eoc/atmosphere/ows?service=WMS&amp;request=GetCapabilities" title="Atmosphere WMS" />
    <link rel="related" href="https://geoservice.dlr.de/eoc/atmosphere/ows?service=WCS&amp;request=GetCapabilities" title="Atmosphere WCS" />
    <category term="service" />
    <author>
      <name />
    </author>
    <id>urn:uuid:de:dlr:geoservice:news:21</id>
    <updated>2016-04-15T12:00:00Z</updated>
    <content>GOME-2 tropical tropospheric ozone has been added to the GOME-2 atmospheric dataset.The Tropospheric ozone is retrieved from the GOME-2 total ozone columns and cloud data using the convective cloud differential (CCD) method. The tropospheric ozone column represents the integrated ozone in the lowest 10 km. Monthly averaged data between 20° South and 20° North are available from GOME-2A and GOME-2B.</content>
    <summary>The GOME-2 atmospheric dataset has been extended with the new GOME2 - Tropical Tropospheric Ozone Layer.</summary>
  </entry>
  <entry>
    <title>CORINE Land Cover 2000 and 2006</title>
    <link rel="self" type="text/html" href="https://geoservice.dlr.de/web/news/20" />
    <link rel="enclosure" href="https://geoservice.dlr.de/static/feeds/thumbs/CORINE2000_QL.png" length="1000" />
    <link rel="related" href="https://geoservice.dlr.de/eoc/land/ows?service=WMS&amp;request=GetCapabilities" title="Land WMS" />
    <category term="service" />
    <author>
      <name />
    </author>
    <id>urn:uuid:de:dlr:geoservice:news:20</id>
    <updated>2015-05-08T13:00:00Z</updated>
    <content>CORINE Land Cover data sets of 2000 and 2006 have been added to the EOC Geoservice in the form of derived raster data products. CORINE 2000 data is available in three
                        resolutions: 100 m, 250 m and 1000 m. CORINE 2006 data is available in a 100 m resolution. Data access is provided through a WMS service.</content>
    <summary>CORINE Land Cover data sets of 2000 and 2006 have been added to the EOC Geoservice in the form of derived raster data products.</summary>
  </entry>
  <entry>
    <title>Update of the EOC Geoservice Homepage</title>
    <link rel="self" type="text/html" href="https://geoservice.dlr.de/web/news/19" />
    <link rel="enclosure" href="https://geoservice.dlr.de/static/feeds/thumbs/Webapp-1.1.3.png" length="1000" />
    <link rel="related" href="https://geoservice.dlr.de/" title="EOC Geoservice Homepage" />
    <category term="service" />
    <author>
      <name />
    </author>
    <id>urn:uuid:de:dlr:geoservice:news:19</id>
    <updated>2014-08-19T07:00:00Z</updated>
    <content>The EOC Geoservice Homepage has been re-launched in mobile friendly design. All content is now also visible on small mobile devices.</content>
    <summary>The EOC Geoservice Homepage has been re-launched in mobile friendly design.</summary>
  </entry>
  <entry>
    <title>MODIS Mosaic of Germany</title>
    <link rel="self" type="text/html" href="https://geoservice.dlr.de/web/news/18" />
    <link rel="enclosure" href="https://geoservice.dlr.de/static/feeds/thumbs/imagery-Modis-Deutschlandmosaik_RGB_UTM84_s_s.png" length="1000" />
    <link rel="related" href="https://modis.gsfc.nasa.gov/" title="MODIS" />
    <link rel="related" href="https://geoservice.dlr.de/eoc/imagery/ows?service=WMS&amp;request=GetCapabilities" title="Imagery WMS" />
    <link rel="related" href="https://geoservice.dlr.de/eoc/imagery/ows?service=WCS&amp;request=GetCapabilities" title="Imagery WCS" />
    <category term="service" />
    <author>
      <name />
    </author>
    <id>urn:uuid:de:dlr:geoservice:news:18</id>
    <updated>2014-06-23T10:00:00Z</updated>
    <content>MODIS (or Moderate Resolution Imaging Spectroradiometer) is a key instrument aboard the Terra (EOS AM) and Aqua (EOS PM) satellites.
                        Terra's orbit around the Earth is timed so that it passes from north to south across the equator in the morning, while Aqua passes south
                        to north over the equator in the afternoon. Terra MODIS and Aqua MODIS are viewing the entire Earth's surface every 1 to 2 days,
                        acquiring data in 36 spectral bands, or groups of wavelengths (see MODIS Technical Specifications).
                        These data will improve our understanding of global dynamics and processes occurring on the land, in the oceans,
                        and in the lower atmosphere. MODIS is playing a vital role in the development of validated, global, interactive Earth system
                        models able to predict global change accurately enough to assist policy makers in making sound decisions concerning the protection of
                        our environment (see MODIS link below as reference).
                        This mosaic has been generated from TERRA and AQUA products between 30 Sept. to 03 Oct. 2011.</content>
    <summary>A MODIS (Moderate Resolution Imaging Spectroradiometer) mosaic of Germany is now available on the Geroservice. This mosaic has been generated
                        from TERRA and AQUA products between 30 Sept. to 03 Oct. 2011.</summary>
  </entry>
  <entry>
    <title>Extention of GOME-2 Products</title>
    <link rel="self" type="text/html" href="https://geoservice.dlr.de/web/news/17" />
    <link rel="enclosure" href="https://geoservice.dlr.de/static/feeds/thumbs/MetOp_AB_O3_ql.png" length="1000" />
    <link rel="related" href="https://geoservice.dlr.de/apps/atmos/" title="ATMOS APP" />
    <link rel="related" href="https://atmos.eoc.dlr.de/gome/" title="GOME Details" />
    <link rel="related" href="https://geoservice.dlr.de/eoc/atmosphere/ows?service=WMS&amp;request=GetCapabilities" title="Atmosphere WMS" />
    <link rel="related" href="https://geoservice.dlr.de/eoc/atmosphere/ows?service=WCS&amp;request=GetCapabilities" title="Atmosphere WCS" />
    <category term="service" />
    <author>
      <name />
    </author>
    <id>urn:uuid:de:dlr:geoservice:news:17</id>
    <updated>2014-05-28T06:00:00Z</updated>
    <content>The GOME-2 atmospheric dataset has been extended by daily and near real time SO2 products. In addition daily MetOp-AB products are now provided.
                        All the data can also be accessed through the ATMOS-APP.</content>
    <summary>The GOME-2 atmospheric dataset has been extended.</summary>
  </entry>
  <entry>
    <title>Update of Services</title>
    <link rel="self" type="text/html" href="https://geoservice.dlr.de/web/news/16" />
    <link rel="enclosure" href="https://geoservice.dlr.de/static/feeds/thumbs/Services_ql.png" length="1000" />
    <link rel="related" href="https://geoservice.dlr.de/eoc/elevation/ows?service=WMS&amp;request=GetCapabilities" title="Elevation WMS" />
    <link rel="related" href="https://geoservice.dlr.de/eoc/elevation/ows?service=WCS&amp;request=GetCapabilities" title="Elevation WCS" />
    <link rel="related" href="https://geoservice.dlr.de/eoc/atmosphere/ows?service=WMS&amp;request=GetCapabilities" title="Atmosphere WMS" />
    <link rel="related" href="https://geoservice.dlr.de/eoc/atmosphere/ows?service=WCS&amp;request=GetCapabilities" title="Atmosphere WCS" />
    <link rel="related" href="https://geoservice.dlr.de/eoc/imagery/ows?service=WMS&amp;request=GetCapabilities" title="Imagery WMS" />
    <link rel="related" href="https://geoservice.dlr.de/eoc/imagery/ows?service=WCS&amp;request=GetCapabilities" title="Imagery WCS" />
    <link rel="related" href="https://geoserver.org/" title="GeoServer" />
    <link rel="related" href="https://docs.geoserver.org/latest/en/user/extensions/wcs20eo/index.html" title="WCS 2.0" />
    <link rel="related" href="https://www.geo-solutions.it/" title="GeoSolution" />
    <link rel="related" href="https://www.eumetsat.int/website/home/index.html" title="EUMETSAT" />
    <category term="service" />
    <author>
      <name />
    </author>
    <id>urn:uuid:de:dlr:geoservice:news:16</id>
    <updated>2014-05-26T08:00:00Z</updated>
    <content>An extensive update of the services has been done recently. The GeoServer used has been updated to version 2.5 and is now providing WCS 2.0.
                        The WCS 2.0 Earth Observation profile adds temporal support and complex coverage structural description to the base WCS 2.0 protocol, in addition
                        with requiring that a number of other extension are supported (the base GeoServer WCS 2.0 module already supports all of those, such as subsetting
                        and reprojection for example).
                        We want to use this opportunity to thank GeoSolutions and EUMETSAT for the valuable collaboration and improvements provided.</content>
    <summary>An extensive update of the services of the EOC Geoservice has been done.</summary>
  </entry>
  <entry>
    <title>Re-launch of EOC Geoservice Homepage</title>
    <link rel="self" type="text/html" href="https://geoservice.dlr.de/web/news/15" />
    <link rel="enclosure" href="https://geoservice.dlr.de/static/feeds/thumbs/Geoservice_Homepage.png" length="1000" />
    <link rel="related" href="https://geoservice.dlr.de/" title="EOC Geoservice Homepage" />
    <category term="service" />
    <author>
      <name />
    </author>
    <id>urn:uuid:de:dlr:geoservice:news:15</id>
    <updated>2013-10-21T12:00:00Z</updated>
    <content>The EOC Geoservice Homepage has been re-launched in new design and now provides more convenient browsing. Details about context, plan,
                        data access as well as use and restrictions are given on the "About" page.
                        The new design of the "Services" page gives a better overview of available services and their capabilities.
                        Major improvements have been made to the "Maps" page where more available data sets can be previewed.
                        Please update your bookmarks and feeds accordingly, since a slight change in the URL has become necessary.</content>
    <summary>The EOC Geoservice Homepage has been re-launched in new design.</summary>
  </entry>
  <entry>
    <title>Access to GOME-2 data through the EOC Geoservice using the ATMOS-APP</title>
    <link rel="self" type="text/html" href="https://geoservice.dlr.de/web/news/14" />
    <link rel="enclosure" href="https://geoservice.dlr.de/static/feeds/thumbs/ATMOS-APP.png" length="1000" />
    <link rel="related" href="https://geoservice.dlr.de/apps/atmos/" title="ATMOS APP" />
    <link rel="related" href="https://atmos.eoc.dlr.de/gome/" title="GOME Details" />
    <category term="service" />
    <author>
      <name />
    </author>
    <id>urn:uuid:de:dlr:geoservice:news:14</id>
    <updated>2013-09-12T09:00:00Z</updated>
    <content>The ATMOS-APP has been developed to access data of the Global Ozone Monitoring Experiment-2 (GOME-2).
                        Daily and near real time (NRT) atmospheric products for the Eumetsat Ozone Satellite Application Facility (O3M-SAF)
                        of the MetOp-A and MetOp-B missions can be visualized. Additionally, a combined product of both missions (MetOp-AB) is processed
                        and accessible.
                        For GOME details please refer to https://atmos.eoc.dlr.de/gome/.</content>
    <summary>Data of the Global Ozone Monitoring Experiment-2 (GOME-2) can now be accessed through https://geoservice.dlr.de/apps/atmos/.</summary>
  </entry>
  <entry>
    <title>EOC Metadata Catalogue updated</title>
    <link rel="self" type="text/html" href="https://geoservice.dlr.de/web/news/13" />
    <link rel="enclosure" href="https://geoservice.dlr.de/static/feeds/thumbs/2013-08-19_SRTM_Catalogue.png" length="1000" />
    <link rel="related" href="https://geoservice.dlr.de/eoc/catalogue/srv/eng/csw?service=CSW&amp;request=GetCapabilities" title="CSW Capabilities" />
    <link rel="related" href="https://geonetwork-opensource.org/" title="GeoNetwork Project" />
    <category term="service" />
    <author>
      <name />
    </author>
    <id>urn:uuid:de:dlr:geoservice:news:13</id>
    <updated>2013-08-20T12:00:00Z</updated>
    <content>The new EOC Metadata Catalogue has been updated and moved to a new location. It can now be accessed through https://geoservice.dlr.de/eoc/catalogue/srv/eng/csw.
                        This replaces the previous EOC Catalogue, which was accessible via https://geoservice.dlr.de/catalogue/srv/en/csw.
                        The EOC Metadata Catalogue contains metadata of a variety of data sets and data set series which are available through the EOC Geoservice.
                        Currently selected data sets such as the digital elevation model of the DLR Shuttle Radar Topography Mission (SRTM X-SAR),
                        atmospheric products for the Eumetsat Ozone Satellite Application Facility (O3M-SAF),
                        as well as thematic products of the Advanced Very High Resolution Radiometer (AVHRR) of the NOAA POES satellite series are
                        available through the EOC Geoservice. In addition, the Center for Satellite Based Crisis Information (ZKI) provides collection
			metadata of their products to the EOC Catalogue. As of today (08/2013), 85 collection metadata sets are available and the number will grow continuously.</content>
    <summary>The EOC Metadata Catalogue has been updated and moved to a new location.</summary>
  </entry>
  <entry>
    <title>There will be a short downtime this afternoon due to a small kernel update. Sorry for any inconvenience.</title>
    <category term="maintenance" />
    <author>
      <name />
    </author>
    <id>urn:uuid:de:dlr:geoservice:news:12</id>
    <updated>2013-05-16T10:00:00Z</updated>
    <content>There will be a short downtime this afternoon due to a small kernel update. Sorry for any inconvenience.</content>
    <summary />
  </entry>
  <entry>
    <title>The Geoservice will be offline for maintenance from February 6th and Thursday, February 7th.</title>
    <category term="maintenance" />
    <author>
      <name />
    </author>
    <id>urn:uuid:de:dlr:geoservice:news:11</id>
    <updated>2013-01-28T10:00:00Z</updated>
    <content>Due to system maintenance between Wednesday, February 6th and Thursday, February 7th the services will be offline. Sorry for any inconvenience.</content>
    <summary />
  </entry>
  <entry>
    <title>The Geoservice will be offline for maintenance from Friday, 11th March 2012 to Monday, 14th March 2012</title>
    <category term="maintenance" />
    <author>
      <name />
    </author>
    <id>urn:uuid:de:dlr:geoservice:news:10</id>
    <updated>2012-05-04T08:00:00Z</updated>
    <content>Due to system maintenance, the services will be offline from Friday, 11th March 2012 to Monday, 14th March 2012. Sorry for any inconvenience.</content>
    <summary />
  </entry>
  <entry>
    <title>New Geoservice Webapp online</title>
    <link rel="enclosure" href="https://geoservice.dlr.de/static/feeds/thumbs/NewWebapp.png" length="1000" />
    <category term="service" />
    <author>
      <name />
    </author>
    <id>urn:uuid:de:dlr:geoservice:news:9</id>
    <updated>2012-04-30T09:30:19Z</updated>
    <content>The new Geoservice Webapp has been installed. Besides an improved interface an imprint as well as a contact form has been added.</content>
    <summary />
  </entry>
  <entry>
    <title>Tile Cache Service Online</title>
    <link rel="self" type="text/html" href="https://geoservice.dlr.de/web/news/8" />
    <link rel="enclosure" href="https://geoservice.dlr.de/static/feeds/thumbs/geowebcache.png" length="1000" />
    <link rel="related" href="https://tiles.geoservice.dlr.de/service/wmts?REQUEST=getcapabilities" title="WMTS Capabilities" />
    <link rel="related" href="https://tiles.geoservice.dlr.de/service/tms/1.0.0" title="TMS Capabilities" />
    <link rel="related" href="https://geowebcache.org" title="Geowebcache Project" />
    <category term="service" />
    <author>
      <name />
    </author>
    <id>urn:uuid:de:dlr:geoservice:news:8</id>
    <updated>2012-02-13T14:30:19Z</updated>
    <content>The Cache service provides access to often requested baselayers (such as BlueMarble and the DLR Basemap).
                        It provides OGC Web Map Tiling Service (WMTS) and the Tile Map Server (TMS) interfaces as implemented by the Geowebcache project.
                        In combination with compliant clients - such NASA World Wind or OpenLayers - this service allows for fast web delivery of pre-rendered datasets.
                        The Cache service uses the Geowebcache implementation.</content>
    <summary>The Tile Cache service has moved (WMTS/TMS). See link section for updated URLs.</summary>
  </entry>
  <entry>
    <title>New Metadata added to catalogue</title>
    <link rel="self" type="text/html" href="https://geoservice.dlr.de/web/news/6" />
    <link rel="enclosure" href="https://geoservice.dlr.de/static/feeds/thumbs/Catalogue_GOME2_250.png" length="1000" />
    <category term="data" />
    <author>
      <name />
    </author>
    <id>urn:uuid:de:dlr:geoservice:news:7</id>
    <updated>2011-11-02T15:00:00Z</updated>
    <content>New Metadata have been added to the catalogue. This contains 10 new collections of the MetOP-A GOME-2 O3M-SAF project. Additionally the metadata of the NOAA AVHRR collections have been updated.</content>
    <summary />
  </entry>
  <entry>
    <title>Geoservice offline for maintenance</title>
    <link rel="self" type="text/html" href="https://geoservice.dlr.de/web/news/5" />
    <category term="maintenance" />
    <author>
      <name />
    </author>
    <id>urn:uuid:de:dlr:geoservice:news:6</id>
    <updated>2011-10-20T11:01:28Z</updated>
    <content>Due to maintenance of the system, the services will be offline until today UTC 18:00:00, October 20th 2011. Sorry for any inconvenience.</content>
    <summary />
  </entry>
  <entry>
    <title>Geoservice offline for maintenance</title>
    <category term="maintenance" />
    <author>
      <name />
    </author>
    <id>urn:uuid:de:dlr:geoservice:news:5</id>
    <updated>2010-11-11T09:01:28Z</updated>
    <content>Due to maintenance of the storage system, the services will be offline today from UTC 07:00:00 to about 12:00:00. Sorry for any inconvenience.</content>
    <summary>The Geoservice is offline for maintenance until today UTC 12:00:00, November 11 2010.</summary>
  </entry>
  <entry>
    <title>SRTM X-SAR DEM Mosaic Online</title>
    <link rel="self" type="text/html" href="https://geoservice.dlr.de/web/news/4" />
    <link rel="enclosure" href="https://geoservice.dlr.de/static/feeds/thumbs/SRTM-thumbnail.png" length="1000" />
    <link rel="related" href="https://geoservice.dlr.de/eoc/elevation/ows?service=WMS&amp;request=GetCapabilities" title="WMS Capabilities" />
    <link rel="related" href="https://geoservice.dlr.de/eoc/elevation/ows?service=WCS&amp;request=GetCapabilities" title="WCS Capabilities" />
    <link rel="related" href="https://www.dlr.de/eoc/Portaldata/60/Resources/dokumente/7_sat_miss/SRTM-XSAR-DEM-DTED-1.1.pdf" title="DLR's SRTM DTED Specification" />
    <link rel="related" href="https://centaurus.caf.dlr.de:8443/eoweb-ng/index2.html" title="EOWEB©" />
    <category term="data" />
    <author>
      <name />
    </author>
    <id>urn:uuid:de:dlr:geoservice:news:4</id>
    <updated>2010-09-15T13:31:10Z</updated>
    <content>The Geoservice Elevation WMS/WCS service provides access to an SRTM DEM Mosaic based on DLR's SRTM X-SAR DTED tiles.
                        The original DTED tiles (see specification in the related link section) are available to download from EOWEB©.
                        See the related links to preview the combined elevation and hillshade layer via your browser or Google Earth.</content>
    <summary>The SRTM DEM Mosaic based on full resolution X-SAR data is now online.</summary>
  </entry>
  <entry>
    <title>Elevation Service Online</title>
    <link rel="self" type="text/html" href="https://geoservice.dlr.de/web/news/3" />
    <link rel="related" href="https://geoservice.dlr.de/eoc/elevation/ows?service=WMS&amp;request=GetCapabilities" title="WMS Capabilities" />
    <link rel="related" href="https://geoservice.dlr.de/eoc/elevation/ows?service=WCS&amp;request=GetCapabilities" title="WCS Capabilities" />
    <link rel="related" href="https://geoserver.org" title="Geoserver Project" />
    <category term="service" />
    <author>
      <name />
    </author>
    <id>urn:uuid:de:dlr:geoservice:news:3</id>
    <updated>2010-09-14T11:06:00Z</updated>
    <content>The Elevation service has been released for internal testing.
                        Currently, this services provides access to a SRTM X-SAR Mosaic generated from DLR's full resolution SRTM X-SAR DTED tiles.</content>
    <summary>The EOC Elevation Service is online (WMS/WCS).</summary>
  </entry>
  <entry>
    <title>Tile Cache Service Online</title>
    <link rel="self" type="text/html" href="https://geoservice.dlr.de/web/news/2" />
    <link rel="related" href="https://tiles.geoservice.dlr.de/service/wmts?REQUEST=getcapabilities" title="WMTS Capabilities" />
    <link rel="related" href="https://tiles.geoservice.dlr.de/service/tms/1.0.0" title="TMS Capabilities" />
    <link rel="related" href="https://geowebcache.org" title="Geowebcache Project" />
    <category term="service" />
    <author>
      <name />
    </author>
    <id>urn:uuid:de:dlr:geoservice:news:2</id>
    <updated>2010-08-06T09:30:19Z</updated>
    <content>The Cache service provides access to often requested baselayers (such as BlueMarble and the EOC Basemap).
                        It provides OGC Web Map Tiling Service (WMTS) and the Tile Map Server (TMS) interfaces as implemented by the Geowebcache project.
                        In combination with compliant clients - such NASA World Wind or OpenLayers - this service allows for fast web delivery of pre-rendered datasets.
                        The Cache service uses the Geowebcache implementation.</content>
    <summary>The EOC Tile Cache service is online (WMTS/TMS).</summary>
  </entry>
  <entry>
    <title>EOC Geoservice Online</title>
    <link rel="self" type="text/html" href="https://geoservice.dlr.de/web/news/1" />
    <link rel="related" href="https://geoservice.dlr.de/web/" title="Geoservice Homepage" />
    <link rel="related" href="https://geoservice.dlr.de/web/news" title="Geoservice News" />
    <link rel="related" href="https://geoservice.dlr.de/web/news/rss" title="Geoservice RSS Newsfeed" />
    <category term="general" />
    <author>
      <name />
    </author>
    <id>urn:uuid:de:dlr:geoservice:news:1</id>
    <updated>2010-08-02T18:45:31Z</updated>
    <content>As of today, the EOC Geoservice of the German Aerospace Center (DLR) is online.
                        The Geoservice subdomain hosts geospatial services that provide access to selected datasets archived, processed or hosted at the Earth Observation Center (EOC).
                        The EOC comprises the German Remote Sensing Data Center (DFD) and the Remote Sensing Technology Institute (IMF).
                        This webpage provides information about the latest news, changes and status of the services.
                        These news are also published through a RSS news feed.</content>
    <summary>The EOC Geoservice is now online.</summary>
  </entry>
</feed>

