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Satellite data analysis for mapping, monitoring and forecasting the earth's natural resources.
We help you understand what, when and where changes and developments are taking place.
Empowering national and regional stakeholders with the data and tools required to monitor and report on inland water resources in an independent manner using EO technology.
First class input data for wind models to ensure optimal wind resource estimations.
Improving crop water efficiency in Uganda using machine learning and satellites to support irrigation development
Application of Deep Learning to analyse satellite imagery with improved accuracy.
Flood Metrics provides an all-in-one interface for our novel flood monitoring product suite, allowing users to search, explore and receive instant price ranges for 3 different products (Flood extent, Digital Elevation Models and Flood frequency).
Enables you to search, purchase and automatically download the best available water depths information for your area of interest in three simple steps
Satellite imagery enables detailed and frequently updated bathymetry. This improves the accuracy of your models.
Enables you to search, purchase and automatically download the best available water depths information for your area of interest in three simple steps
With freely and commercially available satellite imagery as well as advanced image analysis coupled with local knowledge it is possible to provide detailed characteristics of the coastal zone in the arctic waters without the safety risks associated with traditional survey methods.
Satellite-based map layers to document resource assessment. Providing high quality imagery for satellite data analysis.
With freely and commercially available satellite imagery as well as advanced image analysis coupled with local knowledge it is possible to provide detailed characteristics of the coastal zone in the arctic waters without the safety risks associated with traditional survey methods.
Satellite-based map layers to document resource assessment. Providing high quality imagery for satellite data analysis.
We are now over a year into the exciting Innowind project with some very encouraging results on developing better land surface input for wind modelling with the aim to significantly lower current uncertainties for wind estimates
We are now over a year into the exciting Innowind project with some very encouraging results on developing better land surface input for wind modelling with the aim to significantly lower current uncertainties for wind estimates
Estimation of evapotranspiration based on Sentinel 2 and 3 satellites for improved irrigation management
Satellite data analysis for national screening of agricultural parameters to support the Danish authorities for agricultural control and CAP monitoring
Estimation of evapotranspiration based on Sentinel 2 and 3 satellites for improved irrigation management
Satellite data analysis for national screening of agricultural parameters to support the Danish authorities for agricultural control and CAP monitoring
EOatDHI part of the DHI GROUP
gras@dhigroup.com
+45 4516 9100
Agern Alle 5,
2970 Hørsholm,
Denmark
CVR: 36466871