Difference between Multispectral and hyperspectral image analysis in agriculture crops.
Multispectral images have a very detailed and strict set of bands, while the Hyperspectral images have a lot of continues bands. The Pros and Cons really depends on what you are interested in observing.
Multispectral images are easier to use, because of the fewer amounts of bands. This means that if you can distinguish the features you are looking for using multispectral images, it makes more sense, since it will narrow down the amount of choices you have to make while using the bands.
Hyperspectral images however can detect other features that the multispectral can not, increasing the potential of making new discoveries, or connections not possible with the multispectral approach. If you can't detect specific features using multispectral images, you should try the hyperspectral images. Keep in mind that while the potential is larger, the options and choices are also more numerous, making it potentially more difficult and/or time-consuming to use.
Similar in concept but differs in the number of spectral bands used during image acquisition and data generation. Hyperspectral systems collect images in many contiguous and regularly spaced bands, while multispectral systems collect images in a few non-contiguous and irregularly spaced wider bands.
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