Menu
  • About us
    • Company
    • Team
    • Career
    • References
    • Partners
    • Contact
  • Products
    • Earth Observation metadata enhancer
    • Temperaturdaten
    • LST-Data Client
    • Trainings
  • Services
    • actinia – geoprocessing in the cloud
    • Geospatial and EO data analysis
    • CORONA spy satellite data
    • maps.mundialis
    • Web Map Services
    • GIS Development
    • Open Source GIS
  • Markets
    • Remote Sensing for Agriculture
    • Satellite Images for Forest and Land Cover Restoration
    • Glass fibre route planning – FTTH
    • Copernicus and Sentinel
  • News & Blog
    • News
    • Blog
    • Satellite image of the month
  • English English
  • Deutsch Deutsch
  • About us
    • Company
    • Team
    • Career
    • References
    • Partners
    • Contact
  • Products
    • Earth Observation metadata enhancer
    • Temperaturdaten
    • LST-Data Client
    • Trainings
  • Services
    • actinia – geoprocessing in the cloud
    • Geospatial and EO data analysis
    • CORONA spy satellite data
    • maps.mundialis
    • Web Map Services
    • GIS Development
    • Open Source GIS
  • Markets
    • Remote Sensing for Agriculture
    • Satellite Images for Forest and Land Cover Restoration
    • Glass fibre route planning – FTTH
    • Copernicus and Sentinel
  • News & Blog
    • News
    • Blog
    • Satellite image of the month
  • English English
  • Deutsch Deutsch

Germany 2019 – Land cover based on Sentinel-2 data


14. December 2020 | Category General, Sentinel

incora Deutschland-Klassifikation 2019: zoom auf Köln-Bonn

incora Germany Classification 2019: zoom on Cologne-Bonn

incora: Germany 2019 – Land cover based on Sentinel-2 data

Within the project “Inwertsetzung von Copernicus-Daten für die Raumbeobachtung” (incora, BMVI mFund funding reference number: 19F2079C) an automatic procedure was developed to create annual land cover classifications for the whole of Germany. The classifications have a spatial resolution of 10m x 10m (pixel size) and represent the classes built-up area, grassland, forest, agriculture, vegetationless soil and water. They are based on atmospherically corrected Sentinel-2 data (with the MAJA algorithm) which were provided by EOC Geoservice of the German Aerospace Centre (DLR). The training data required for the classification are created rule-based from reference data (e.g. OpenStreetMap) and the Sentinel-2 scenes themselves. Thus, the processing can be flexibly transferred to different years and performed fully automatically.

The incora project focuses on the monitoring of settlement and traffic areas. The comparison of the Germany-wide classifications for different reference years makes it possible to derive small as well as large scale changes in settlement development. In future, the method can be applied over the entire lifetime of the Sentinel-2 satellite mission, so that long-term trends in Germany’s land cover dynamics can be made visible.

The interim results have been published here:

 

Landcover classification map of Germany 2019 based on Sentinel-2 data, 10m resolution

  • download: https://data.mundialis.de/geodata/lulc-germany/classification_2019/classification_map_germany_2019_v02.tif
  • metadata: https://data.mundialis.de/geonetwork/srv/eng/catalog.search#/metadata/36512b46-f3aa-4aa4-8281-7584ec46c813

 

Landcover classification map of Germany 2016 based on Sentinel-2 data, 10m resolution

  • download: https://data.mundialis.de/geodata/lulc-germany/classification_2016/classification_map_germany_2016_v0_1.tif
  • metadata: https://data.mundialis.de/geonetwork/srv/eng/catalog.search#/metadata/db130a09-fc2e-421d-95e2-1575e7c4b45c

 

Change Detection map of Germany 2016-2019 based on Sentinel-2 data, 10m resolution

  • download:
    • https://data.mundialis.de/geodata/lulc-germany/change_detection_2016_2019/germany_2016_2019_MAJA_cd_total_v02.tif
    • https://data.mundialis.de/geodata/lulc-germany/change_detection_2016_2019/germany_2016_2019_MAJA_cd_water_v02.tif
    • https://data.mundialis.de/geodata/lulc-germany/change_detection_2016_2019/germany_2016_2019_MAJA_cd_lowvegetation_v02.tif
    • https://data.mundialis.de/geodata/lulc-germany/change_detection_2016_2019/germany_2016_2019_MAJA_cd_forest_v02.tif
    • https://data.mundialis.de/geodata/lulc-germany/change_detection_2016_2019/germany_2016_2019_MAJA_cd_builtup_v02.tif
    • https://data.mundialis.de/geodata/lulc-germany/change_detection_2016_2019/germany_2016_2019_MAJA_cd_baresoil_v02.tif
    • https://data.mundialis.de/geodata/lulc-germany/change_detection_2016_2019/germany_2016_2019_MAJA_cd_agriculture_v02.tif
  • metadata: https://data.mundialis.de/geonetwork/srv/eng/catalog.search#/metadata/5ef8565b-ea72-4f34-985b-71ab41959230

 

Data license (open data):

  • Data licence Germany – attribution – version 2.0, or later
    https://data.mundialis.de/geodata/lulc-germany/classification_2019/LICENSE.html

 

Your contact person

We are at your disposal:
Guido Riembauer <info@mundialis.de> | phone: +49 (0)228 / 387 580 80

About incora

Within the framework of the sustainability goals, the economical use of land as a resource has been the subject of planning interventions and political measures by the German Government for many years. The conflicting demands for land use require data bases for monitoring settlement and transport area development. The incora project uses the data basis of the Copernicus Sentinel satellites to supplement existing indicators of settlement and transport area development for nationwide area monitoring and to increase the quality and significance of existing indicators. The results will be made publicly available in spatial observation portals.

The project (duration: 12/2018 – 11/2021) is coordinated by the Institut für Landes- und Stadtentwicklungsforschung (ILS), and will be carried out jointly with the Bundesinstitut für Bau-, Stadt- und Raumforschung (BBSR) and mundialis GmbH & Co. KG.

Comments are currently closed.

Follow Us

Contact

mundialis GmbH & Co. KG
Kölnstrasse 99
53111 Bonn

Phone: +49 (0)228 / 387 580 80
Fax: +49 (0)228 / 962 899 57

E-Mail: info [at] mundialis [dot] de

Latest News

  • FOSSGIS 2023 – this time in Berlin again!

    Tuesday February 21st, 2023
  • ++ Eine neue Heimat für Actinia ++

    Tuesday January 24th, 2023
  • Positive towards the future – Management changes at mundialis

    Tuesday October 4th, 2022
  • Recap of FOSS4G 2022 in Florence

    Friday September 16th, 2022
  • FOSS4G 2022 in “La Bella” – Greetings from Florence!

    Thursday July 14th, 2022
View all News

Blog

  • Satellite image of the month – March – Berlin (Germany) 7. March 2023
    Berlin – Germany, recorded by the Sentinel-2B satellite on September ...
  • Satellite image of the month – February – Amazon Rainforest (Brazil and Bolivia) 7. February 2023
    Amazon Rainforest – Brazil and Bolivia, recorded by the Sentinel-2A ...
  • Satellite image of the month – January – Yalu River (People’s Republic of China and Democratic People’s Republic of Korea) 2. January 2023
    Yalu River – People’s Republic of China and Democratic People’s ...
View all Blog Posts

Copyright © 2015-2023 mundialis GmbH & Co. KG

Imprint Privacy

Theme created by PWT. Powered by WordPress.org