This is caused by huge variability in the quality of satellite images, e.g. The creation of a beautiful satellite map, it's a bit of alchemy, it is necessary to process a large amount of data with a decent dose of algorithmic art. In the context of temporal resolution, there are satellites that acquire the same spot under the same angle in a couple of days or even days.Īll of these satellites, capture images in a different wavelength, which brings different information about the surveyed area, all the acquired information from specific wavelengths are stored in separate bands.įor visual purposes, like creating beautiful satellite maps, normally bands from the visible spectrum would be used like the blue, green, and red bands. Today there are plenty of satellites that are orbiting the globe, that’s the main reason why the availability of satellite data is increasing.Įach of these satellites captures the globe in different spatial, temporal, and spectral resolutions some of them, like MODIS, capture the globe in spatial resolution of 100 m/px, others like Sentinel-2 to a couple of meters ( 10 m/px) or even centimeters 41 cm/px from DigitalGlobe's GeoEye-1. Sometimes even with the most accurate maps you can't describe/capture the level of detail in our real world or maybe you want to do some specific analysis of a particular area.Īll of this is becoming available thanks to satellite imagery. We also show you which satellite data we host, and how you can use these different layers in your project. In this article we explain what satellite data is, its benefits, and how maps from these data are created.
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