Submerged marine vegetation in the coastal zone may be mapped using optical satellite data, fx. from Sentinel-2.

One of the earliest applications of Earth Observation is found in the agricultural sector.

Monitoring changes occuring at the surface of earth at all scales is one of the strongholds of Earth Observation.

Earth Observation may also be applied for mapping sea floor properties in shallow waters.

Satellite data and meteorological data provide a powerful input to numerical models and machine learning routines.

Earth Observation is perhaps the most important means of monitoring our climate and the effects of climate change.

Landscape feature dynamics may be captured and mapped using free and open Sentinel-1 & -2 satellite data

The natural color band combination uses the red (B4), green (B3), and blue (B2) channels. Its purpose is to display imagery the same way our eyes see the world. Just like how we see, healthy vegetation is green. Next, urban features often appear white and grey. Finally, water is a shade of dark blue depending on how clean it is.

The color infrared band combination is meant to emphasize healthy and unhealthy vegetation. By using the near-infrared (B8) band, it’s especially good at reflecting chlorophyll. This is why in a color infrared image, denser vegetation is red. But urban areas are white.

Spaceborne Synthetic Aperture Radar (SAR) imagery maps the surface microwave radar reflectivity. Since a radar provides its own illumination, imagery is independent of the time of day and cloud cover making SAR sensors considered "all-weather" instruments. The data seen here is the SAR backscatter which is the portion of the outgoing radar signal that the target redirects directly back towards the radar antenna. Flat surfaces such as paved roads, runways or calm water normally appear as dark areas in a radar image since most of the incident radar pulses are specularly reflected away. Rougher surfaces will appear more white or grey.

The Normalized Difference Vegetation Index (NDVI) is a measure of photosynthetic activity and is used as an indicator to monitor the presence and greenness of vegetation. The data presented here is calculated from multispectral Sentinel-2 data. High values (green colors) represent healthy vegetation, low values (red) non-vegetation land cover. Use the tabs below to explore monthly and annual NDVI composites for Denmark, and compare greenness medians between municipalities.

The HRL Grassland product from the Copernicus Land Monitoring Service (CLMS) provides a synoptic view on the distribution and extent and dynamics of the pan-European grasslands. The data presented here provides insight into grassland extent in Denmark for the years 2015 and 2018. Use the tabs below to explore the data and compare grassland medians between municipalities. © European Union, Copernicus Land Monitoring Service 2020, European Environment Agency (EEA)

The HRL Imperviousness product from the Copernicus Land Monitoring Service (CLMS) provides a synoptic view of the impermeable cover of soil as percentage imperviousness from 0-100%. The data presented here provides insights into imperviousness density in Denmark for the years 2012, 2015 and 2018. Use the tabs below to explore the data and compare imperviousness medians between municipalities. © European Union, Copernicus Land Monitoring Service 2020, European Environment Agency (EEA)

The HRL Tree Cover Density product from the Copernicus Land Monitoring Service (CLMS) provides a synoptic view of the level of tree cover density as a percentage cover range from 0 - 100 %. The data presented here provides insights into the tree cover density in Denmark for the years 2012, 2015 and 2018. Use the tabs below to explore the data and compare tree cover density medians between municipalities.

The HRL Water & Wetness product from the Copernicus Land Monitoring Service (CLMS) provides a synoptic view of the occurrence of water and wet surfaces defined in classes of (1) permanent water, (2) temporary water, (3) permanent wetness and (4) temporary wetness. The data presented here provides insights into water and wet surface cover in Denmark for the years 2015 and 2018. Use the tabs below to explore the data and compare water and wetness extent medians medians between municipalities.