Maps created from Remote Sensing data
Maps created from Remote Sensing data
From satellite data we can infer information about the condition of the observed land cover and classify it according to their spectral signature.
From satellite data we can infer information about the condition of the observed land cover and classify it according to their spectral signature.
Forest fire progression
Forest fire progression
The active fire progression in Ljusdal, Sweden was derived from Sentinel-3a images using SNAP. Even though the satellite image has relatively low resolution, it can be used to quickly get an indication about direction and extent of fire progression.
False colour composites used for land cover classification
False colour composites used for land cover classification
False colour composites can be created by combining different bands. Here Near Infrared (NIR) is added since vegetation have a very high NIR reflectance. A true colour composite is shown in comparison in a) and b). Based on such a remote sensing image one can conduct a land cover classification.
