All these technologies are extremely expensive and therefore out of the reach for explorers and makers. Another approach is to use a beam splitter (prism) that would direct the different beams of light to a different sensor. Other approaches have dealt with this in different ways recent technology developments at processor level have allowed the creation of scan CMOS sensors with band filters integrated in the sensor's layout. This means that a big deal of post-processing needs to be done, consuming time and resources (using expensive software such as arcmap, but not necessarily). There are two challenges to that approach first, you need to trigger the cameras at the same time, or as close as possible and second, you need to register (merge images layer after layer) the images so they can form one final composite with the desire bands in it. A traditional approach to spectrometry is to use several cameras with long or short bandpass filters that allow the required spectrum to pass trough while blocking the others. But multispectral cameras can be costly, and their price is directly proportional to the sort of technology they implement.
If combined with a drone, the camera can provide the data for quick NDVIs (Normalised Difference Vegetation Index), create mosaics of farms, forests or woodlands, understand nitrogen consumption, create yield maps and so on. A multispectral camera can be a handy tool to detect stress in plants, or recognise different species in lieu of the differences in the reflectance signatures of plants in general.
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