Bands, multispectral and hyperspectral

The differences between sensors, besides economic ones, are the capacity to obtain more or less parts of the reflected spectrum of the vegetation, for the calculation of the indices on the vegetation that interest us. Simple and clear in this article from gisgeography.com. But it is not precision agriculture by the sensor, or have more or less precision in the spectrum, the difference with the study of satellite-derived spectral images is the GSD resolution [cm/pixel],  we can get with our sensors closest to vegetation Objective and know more precisely what is happening in a crop.

So which sensor do we need?

Depending on the stage of the vegetation, knowing its phenology, we will look for which bands require the vegetative indexes that we want to study, these indexes will tell bands and amplitude of spectrum we need, or put another way, the bands must cover our sensor according to the type and phenology of the vegetation to be studied.

 A small summary, although later on we will see a bit about indexes.

Base vegetative indexes. indexdatabase.de

More common wavelengths.

Band 1: Coastal aerosol (0.43-0.45 um)
Band 2: Blue (0.45-0.51 um)
Band 3: Green (0.53-0.59 um)
Band 4: Red (0.64-0.67 um)
Band 5: Near infrared NIR (0.85-0.88 um)
Band 6: Short-wave Infrared SWIR 1 (1.57-1.65 um)
Band 7: Short-wave Infrared SWIR 2 (2.11-2.29 um)
Band 8: Panchromatic (0.50-0.68 um)
Band 9: Cirrus (1.36-1.38 um)
Band 10: Thermal Infrared TIRS 1 (10.60-11.19 um)
Band 11: Thermal Infrared TIRS 2 (11.50-12.51 um)

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