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  • Products
    • Earth Observation metadata enhancer
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    • LST-Data Client
    • Trainings
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    • actinia – geoprocessing in the cloud
    • Geospatial and EO data analysis
    • CORONA spy satellite data
    • maps.mundialis
    • Web Map Services
    • GIS Development
    • Open Source GIS
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    • Remote Sensing for Agriculture
    • Satellite Images for Forest and Land Cover Restoration
    • Glass fibre route planning – FTTH
    • Copernicus and Sentinel
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Geospatial and EO data analysis


Thanks to the unique composition of the team at mundialis we are able to offer more than a decade of experience in the analysis of massive geodata and Earth observation data. Over the past years we gained notable knowledge in gap-filling and aggregation of daily MODIS Land Surface Temperature time series. This knowledge our team members apply to environmental modelling, especially related to invasive species like the tiger mosquito expansion in Europe and other topics.

Skyview analysis from LiDAR data

Skyview analysis from LiDAR data

Which data processing does mundialis offer?

Analysis of GIS data, preferably open data:

  • transport networks used for routing and flow analysis
  • elevation models, merging of heteorogeneous data used for terrain, erosion, flood risk analysis, solar radiation estimation
  • sensor network data from meteorological stations
  • cadastral information which are needed for detailed risk assessment of potential property loss in case of hazards
  • LiDAR data from laserscan flights in order to assess urban morphometry

 

Analysis of Earth observation data:

Landsat8 - River Rhine - EU-DEM 25m

Landsat8 – River Rhine – EU-DEM 25m

  • images from UAV like octocopters in the visible, infrared or thermal spectrum
  • aerial imagery, from historical aerial data to modern multispectral imagery
  • satellite data with focus on time series processing used for the extraction of NDVI over time, assessment of urban heat islands, landuse/landcover identification with OBIA and machine learning approaches. We explore Landsat, Sentinel-2, Pleiades, Worldview and other data

For us combining geospatial and Earth observation data is the key!

Our approach of combining geospatial and remote sensing data enables us to not only e.g. identify urban heat islands but to also estimate the number of people being affected. This leads to informed decisions which will be more cost effective and strategically targeting the problem.

 

Download: mundialis flyer DE (PDF)

Kontaktieren Sie uns noch heute!

 

Gallery

Soil moisture time series

Visualization of time series analysis (soil moisture t1)

timesliderclient-2

 

Visualization of time series analysis (soil moisture t2)

timesliderclient

NDVI Analysis

NDVI analysis of center pivot irrigation

NDVI Analyse von Kreisberegnern

 

NDVI to determinate agricultural land use

ndvi

 

Dehazing of Landsat data in Borneo, Indonesia

Original RGB natural color composite
indonesia_rgb

 

Dehazed representation

indonesia_tc_dehazed

 

Zoomed area – original RGB natural color composite

indonesia_rgb_zoom

 

Dehazed representation

indonesia_tc_dehazed_zoom

  • Northern Germany As Seen By Sentinel 2A: Natural Colors (RGB 040302)

  • Northern Germany As Seen By Sentinel 2A: Vegetation False Color (RGB 080403)

  • Northern Germany As Seen By Sentinel 2A: Land Water False Color (RGB 8A1104)

  • Northern Germany As Seen By Sentinel 2A: Atmospheric Penetration False Color (RGB 12118A)

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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 ...
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